A learning system that incorporates digital technologies, and electronic resources to deliver learning & knowledge via an online platform is known as e-learning or online learning. Conventional teaching methods include methodology where instructors and learners are present in a classroom in real-time and face-to-face instructions occur. An online learning method involves digital platforms such as web-based platforms, mobile app platforms, tablets, and likewise. Online learning means a remote-based learning methodology where learners and trainers/providers are connected virtually irrespective of geographic locations and time zones. In an online learning landscape, the internet happens to be the major component. In short, digital devices, digital technologies, and adequate networking systems are the basic requirements for creating an environment for digital learning/online learnine/e-learning.

Description

Integrating technology with education has become a big priority now. Online learning is undergoing massive progress across the education industry. Educational institutes, schools, colleges, coaching centers, research centers, and skill up-gradation course providers, all are adopting digital to their ecosystem. The online learning system is being accepted by the masses, across the education landscape and varied stakeholders are getting unparalleled benefits out of it. Smartphones, mobile devices like tablets, desktops, smart speakers, smart TV, etc. have forayed into the households bringing learning, and home education, connecting people virtually on a remote basis.

For Instance

In classrooms, instructors can leverage the digital learning format while learners can avail of classes from their homes or offices. Web  & mobile app-based learning has replaced the standard classroom model of teaching; teachers and students connect via mobile learning apps and allow the system to function more efficiently while increasing the productivity of all. Live classes, digitally-powered audio-video lectures, AI-ML, and AR-enabled web & mobile applications are allowing huge cost-saving and time-saving opportunities for education businesses the world over.

Statistics

• TWO out of FIVE Fortune 500 companies adopt e-learning tools & methodologies
• The global e-learning market is projected to reach US$370 Billion by 2026
• The global market size of the corporate e-learning industry is projected to reach over US$37 billion by 2026.

Advantages

1. Convenience – 24×7 access, no commuting, and mobile phones can serve the purpose.
2. Improved Learning – Equal emphasis on varied skills like writing, technology skills, group discussions, and life skills.
3. Equal opportunity -Anonymity of the online forum allows shy students to open up and grow.
4. Enhanced Interactive sessions – Quality-based student-to-student or student-to-teacher interactions.
5. Great learning outcomes–  Passive listening is less and active listening becomes prominent and good synergy.
6. Innovative learning/teaching –  Addresses varied learning styles and student-centered activities.
7. Digitally powered Administration – Documentation, records, evaluation, grading, etc. are easily managed.
8. Increased student satisfaction and Retention – Online learning facilitates high retention due to increased satisfaction levels and cost-saving opportunities.
9. No physical campus required- Online courses can be availed of without attending physical campuses and providers can maintain huge cost-cutting otherwise included on rents, etc.

Present Online Learning

Edtech or education technology is becoming the face of the education industry today and online learning is picking momentum at an exponential rate. Although the COVID-19 crisis has led to a significant surge in this segment, the adoption of online learning and educational technologies started trending much before; in 2019, the global edtech investments reached a massive  US$18.66 billion. By 2025, the overall market for online education is estimated to reach 350 Billion USD.  Uasegewise, there’s an increasing surge in virtual learning apps, language apps, online tutoring, online-video conferencing tools, as well as varied online learning software! Edtech incorporates digital tools that facilitate online learning and online teaching over virtual platforms. Digital technologies like AR-VR, IoT, Blockchain, AI-Ml, etc. allow for smooth and seamless online learning functionalities.

AI as a Mainstream Technology

AI (Artificial Intelligence) has a major influence on the present learning system. The massive capabilities of this technology are transforming e-learning systems globally. Personalized learning is one of the valuable assets of AI. Other ways how AI is impacting online learning in present times are:

• Automating classroom activities for schools/colleges
• Allowing the personalized learning system
• Predictive analysis of students for better outcomes
• Automating admin tasks across learning domains
• AI-led extra support allows easy comprehension and understanding of concepts

Online Learning in Future

Online learning is expanding its reach across the globe and stakeholders are poised to leverage digital technologies for enhanced and productive learning fetching lucrative outcomes. Universities, colleges, and schools are focusing on hybrid models that allow the smooth integration of online learning into their existing patterns. Adrian Alba, Recruitment Director for Arizona Online at the University of Arizona speaks thus, “If you’re not, as a university, looking at online options or improved technology systems for your students, I think you could potentially fall behind the curve.” Below are a few snapshots of the future of online learning trends that are substantiated by experts working on the front line of e-learning/online education :

• Introduction of more online degrees in colleges/schools.
• More STEM courses in Data Science, Physical Science.
• Growth of OER(Open Educational Resources). Educational resources like online learning materials, textbooks, and streaming videos will be available at no cost/low cost.
• VR(Virtual Reality) powered online hands-on courses/programs like biology, chemistry lab programs, nursing, or science programs will grow. Online skill demonstrations and interactive videos to be accessible online will empower students, interns, and research scholars, and will increase their engagement level.
• Blended learning will become prominent creating a concrete digital future for educational institutions.
• Enhanced course designs will reduce the digital divide. Courses will be accessible across devices and remote areas.
• MOOCs(Massive Open Online Courses) will gain popularity towards skill-up-gradation among online learners.
• Stackable online credentials will grow meant for working people, and job candidates to enhance their portfolios. Especially in technical areas like IT and healthcare.
• Online boot camps will grow via strong public-private partnerships. For example, in the area of coding, designing, research, etc.
• Skill-based credentials and certification will become top criteria for hiring managers, and they won’t focus on mere degrees of candidates.

Conclusion

Online learning is allowing an unabated learning environment where all stakeholders get to gain in some way or the other. The virtual mode of interactions helps to overcome geographical & language barriers besides time constraints. Companies are leveraging online learning forums towards skill-upgrading programs for their employees; universities, schools, and colleges are allowing seamless learning benefitting learners and providers on a global scale. It’s a win-win situation across the lanes.

If you are a Start-Up, SMB, or an Enterprise in the online learning segment, you need to be future-ready right Now! Explore the massive digital capabilities that can fetch you greater ROI, contact our experts today.

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Over the past two years, industries across the globe saw massive disruptions due to the sudden outbreak of the COVID  pandemic. Even the retail industry was taken aback but thanks to the digital adoption in their ecosystem that sustained them. If you are a start-up, an SMB, or an entrepreneur in the retail sector, you’d now acknowledge the massive capabilities of an AI-ML-enabled digital intervention that can fetch you the best returns in your retail business. Post Pandemic era has a lot to offer as e-commerce, and online retailing are surging ahead creating innovative retail industry trends for the year 2022. While 2021 was a year of adjustments that allowed economic recovery albeit, at a slow pace,2022 looks more promising with major retail trends. Let’s discuss the top 5 key retail industry trends in 2022:

Trend#1 Rise in Digital Channels & E-Commerce

Consumer behavior has drastically changed over the last few years because of the convenience and easy method of shopping via smartphone upon clicks, and digitally-enabled payments like a digital wallet, online banking, etc. Varied digital channels have become the preferred mode of seamlessly connecting with target customers.B2B, B2C, and C2C retail businesses are reaping benefits out of digital channels in some way or other. As per recent stats, in Latin America, the most relevant and popular media tools & techniques for marketers in the retail sector are digital marketing(it tops their list with 83% hold), social networking channels account for 73% while e-commerce rules with 63%  in their preference-list. Besides, the omnichannel retail trend has also picked momentum and online & offline channels are increasingly becoming a part of marketing strategies. Providing a personalized customer experience requires constant interaction with customers, so, digital channels are one of the growing retail trends worldwide.

Trend#2 Personalized Customer Experience

Identifying the right channel and right time for every customer is a major challenge that the retail industry facing today. The solution is to provide each customer with unique and personalized offers and experiences. It means, that what suits A may not suit B, and also C is different. As per the Hot Retail Trends 2022 study, a massive 44% of marketing personnel consider user experience as a major strategy constituent. It means personalized customer experience, providing a frictionless, seamless shopping experience to consumers will be one of the key retail trends in 2022. ROPO(Research Online Purchasing Offline), a multi-touch shopping model is an example of this trend.

Trend#3 Social Shopping

Today, almost 64%  of the global population uses social media for online shopping, the major shopping activity. This is driving marketers to spend massively on their advertising and paid media campaigning to boost social shopping activity. As per the Tiendeo Study, 58% of retail executives will increase spending on advertising on social media for the purpose just mentioned!! Indeed a hot retail industry trend in 2022 and beyond, too.

Trend#4 Cashierless Self-Checkout Stores

Magic Mirrors, virtual trial rooms, digital mannequins, smart shelves, AI-ML-enabled robots to guide customers inside stores and check inventory levels for regular replenishment, there are many ways digital technology is helping the retail sector to provide a seamless customer experience. Cashierless Self-Checkout retail shopping stores and other innovative features are surely becoming a happening retail trend in the years to come. Some retail giants like Walmart and Carrefour have already adopted many of these retail features and giving tough competition to their e-commerce counterparts!

Trend#5 Sustainable  Circular Economy

Customers are increasingly becoming environment-conscious, and the need for sustainable practices that protect natural resources is growing parallelly. This is leading retailers to reassess their marketing strategies in line with the environment-friendly dynamics and making a fine balance between sustainability and economic growth. This is a circular economy that leverages natural resources at the maximum level and digital becomes the medium to accelerate this phenomenon. In the previous year,2021, many retailers across the globe implemented sustainable marketing activities that advocated for huge industrial waste reduction. This model helps 80% waste reduction in the process involved. Indeed an immense retail trend in 2022 and further, too!

Bottomline

The message is simple and clear. Businesses across the retail industry will increase their budget allocations favoring more investments in digital marketing, digital advertising, and campaigning, garnering growth and fetching the best returns. As per a study conducted by EMEA & LATAM, it is expected that in 2022,  86% of the total budget allocations will go to digital channels while 14% to offline media channels. This is a shoutout to all the retailers who want to stay competitive in the retail world.

Are you a Start-Up, SMB, or an Enterprise in the retail industry, wishing to leverage the power of digital in your retail business? Contact our experts!

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Retail is not a standard commercial transaction-based activity, rather involves multiple layers to it.

The retail business is undergoing continuous development, while retailers are struggling to stay afloat in the face of severe market rivalry and rapidly changing client buying patterns, which can turn out to be difficult to determine.

Retailers are putting money into cutting-edge technology like artificial intelligence (AI), robots, data analytics, and logistics automation to become more customer-centric and responsive to industry trends.

 It has evolved into a multi-layered activity that now includes technology to refine its operations and the experiences for the customers. The way retail is structured and run has altered as a result of technological advancements, particularly with the introduction of AI in the value chain.

For years, the retail business has been undergoing a digital change. It has improved speed, efficiency, and accuracy across the board, in an extensive way to enhance data and predictive analytics technologies that enable businesses to make data-driven business choices.

Without the internet of things (IoT) and, most significantly, artificial intelligence, the insights that help businesses make well-informed decisions would not be possible. AI in retail has given firms access to high-level data and information, which they can use to enhance retail operations and create increased business prospects.

AI in the Retail Industry

Artificial intelligence (AI) is rapidly transforming the way business operations unfold daily. Countries are attempting to make smart investments so that operations on a global level may benefit from this transition.

Artificial Intelligence is only the beginning of the trends and their successful integration with retail. Along with Artificial Intelligence, the retail industry continues to reap the rewards of Data Analytics and Machine Learning.

AI Technologies Implemented in the Retail Industry

Despite the widespread mention of artificial intelligence in industries worldwide, many firms don’t completely understand what it entails. When we say artificial intelligence, we’re referring to a set of technologies, such as machine learning and predictive analytics, that can collect, process, and analyze massive amounts of data and use that data to predict, forecast, inform, and assist retailers in making accurate, data-driven business decisions.

These technologies may even function independently, converting raw data acquired from IoT and other sources into meaningful insights utilizing powerful AI analytical capabilities. Behavioral analytics and consumer intelligence are also used by AI in retail to get important insights into distinct market demographics, enhance a variety of customer care touchpoints and predict the behavior of consumers.

How AI has been able to Enhance Operations for the Retail Industry

The initial and the most common thoughts about artificial intelligence may still be robots and science fiction. AI, on the other hand, has progressed significantly. AI is both a subject of research and a blend of technologies in today’s environment that help individuals as well as firms to make better and more well-informed decisions. It’s based on the human brain, which perceives, interprets, and responds to data, learning and adapting over time, mostly through data pattern recognition.

The strength of AI in retail comes from the capacity to leverage this intelligent technology across the customer’s purchasing cycle as well as within your business, allowing you to tap into even more potential and change what’s possible.

Chatbots, cognitive and machine learning, sophisticated analytics, and blockchain, when integrated with connected devices like machines and headsets, can infuse data and insights wherever they’re required. This eventually results in personalized, contextual, and relevant digital engagements based on purchase history, demographic data, location, time of day, and other data sources.

Apart from the business insight and sheer speed that these technologies may bring, the digital revolution in retail is simply drawing the line between the thriving firms and the still-developing firms. There are several advantages of Artificial Intelligence in the Retail Industry, we have listed them below –

1. Create an Engaging Experience for the Users

Retailers must distinguish their product or service and provide consumers with experiences that appeal to the customers to maintain their attention. Retailers may lead with innovation rather than react to change by incorporating predictive analytics to acquire more market knowledge.

When it comes to the most important retail developments of the recent decade, the personalized shopping experience stands out. Businesses have been able to significantly improve customer experience because of the continuously expanding AI technology. The trend has further been refined with smart chatbots and voice assistants driven by natural language processing algorithms.

Some of the most substantial AI advantages will be found in the shops too. Store staff may assist with sales using AI-enabled mobile devices, resulting in improved conversion rates and a better experience for the customers. 

2. Better In-Store Experiences

Brick-and-mortar retailers were forced to downsize their on-ground staff and minimize consumer interactions as the COVID-19 infection swelled and lulled. Physical retail businesses can now provide the same level of service that customers have come to expect thanks to conversational AI-powered chatbots.

Customers may use interactive chatbots to get real-time answers to their questions, automate check-out counters with cashless payment options, and streamline the processes and inventory using Real-Time Monitoring.

3. Demand Forecasting

The capacity to pivot and make amends is what distinguishes the successful market players. Organizations are yet to hit the bullseye with the evolving market as trends and attitudes vary every quarter. Retailers can now construct forecast models to assist predict industry trends and making changes throughout their Marketing strategies. This can be done best by mining information from multiple channels such as customer, marketplace, and leveraging the competitor’s data.

4. Create Actionable Insights from Data

Retailers must sift through the noise to translate diverse data sources into consumer-first strategies when confronted with an endless information stream from all elements of their organization.

For years, businesses have attempted to forecast the customer’s next move and determine how the demand curve will shift in reaction to a specific occurrence. With AI algorithms capable of analyzing massive amounts of data, businesses can now not only properly determine which goods a certain client would be most interested in, but also forecast demand for new market entrants.

5. Aligning an Offline and Online Retail Experience

Digital and physical shopping channels often follow different agendas and techniques, but considering them as separate business units creates friction for customers looking for a smooth shopping experience and inefficiencies for retailers.

This further helps the retailers with other factors such as setting realistic timelines, allowing firms to focus on high-value uses and helps to analyze the workforce.

6. Safety and Security

The problem of digital security has become one of the most critical in retail due to the rising percentage of e-commerce sales and the overall trend of digitization. And it is here that AI is utilized by organizations to ensure the security of sensitive data. Neural networks can detect possible weaknesses in a retailer’s environment, prevent money leakage through unsecured payments, and detect procurement fraud, among other things.

7. Customer Service Improvements

Retailers have been able to ensure that interactions with customers do not end at the door thanks to the use of omnichannel marketing.

Building interactive communication channels have increased the quality of consumer engagement activities for retail business owners. For example, Chatbots may ‘speak’ to consumers in a human-like and compassionate manner, assuring a seamless experience. They can also answer frequently asked questions, provide product recommendations, and respond to customer complaints in real-time.

The capacity of a chatbot to capture critical data from client interactions and utilize it to develop meaningful customer profiles remains to be one of the most important aspects. This type of self-learning helps the AI Bot to improve its interactions with consumers, ensuring that businesses do not miss the mark when it comes to human interaction.

Key Takeaways

The AI sector has seen a surge in new entrants throughout the world. These major firms are cooperating with many sectors to provide tailored AI solutions that will help businesses expand at a quicker rate to match the growing demands of the retail industry. The retail business hasn’t been immune to this trend. It has been and continues to use AI-based technologies to handle a variety of tasks.

Explore how AI can improve your retail operations and enhance business prospects and fetch you massive returns. Contact our experts today.

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As retail outlets are being replaced by internet buying, AI in retail is taking center stage for businesses. The use of artificial intelligence in retail is enabling merchants to better understand their customers’ needs and expectations in an increasingly digital world. Artificial intelligence is having a significant impact on the retail value chain and is quickly becoming a valuable tool for retailers looking to get an advantage over their rivals. It has been anticipated by Tractica, a marketing research firm, that global AI revenues will rise to over $36.6 Billion in 2025.

If you’re considering implementing AI in your company, it’s important to know how other merchants have done so.

1. Improving the Shopping Experience In-Store

Retailers’ operational costs can be reduced by utilizing artificial intelligence to streamline in-store operations. It can take the position of salespeople to assist customers in the store, eliminate queues by accepting payments without a cashier, restock inventory through real-time stock monitoring, and digitally display products in stores and in trial rooms, among other things. AI is a must-have for merchants looking to save time and provide better service to their customers. Amazon has adopted a technology that responds to every pick-up of a product from a store shelf. Smart shelf tags, instead of paper price tags, have also been introduced by Kroger Edge technology in order to reduce expenses.

2. Chatbots for Customer Service Assistance

Omnichannel retail has ensured that customer connection doesn’t end in a store location. A chat program built using artificial intelligence in retail can easily increase client interaction. The use of chatbots to communicate with clients is a viable option. If necessary, they can transfer the call to a telesales representative who can provide answers to frequently asked questions, make product recommendations, deal with customer complaints, and gather useful data from your clients. The chatbots can be trained to learn from their previous encounters and use that information to improve and personalize their interactions with customers in the future. H&M’s Kik chatbot, which lets customers choose from recommendations, filters, and personal style preferences, put the clothing retailer ahead of the pack in 2016 even before the rest of the industry caught up.

3. Effective Supply Chain Management and Logistics are Necessary for the Success

Every year, retailers throughout the world lose money as a result of poor inventory management. AI-enabled logistics management can estimate demand for products by analyzing previous sales, location, purchasing tendencies, etc. Many organizations have just created AI-powered drones for warehouse management that can access hard-to-reach areas and automatically update a central database with real-time inventory availability. Retail supply chains, including inventory, staffing, distribution, and delivery can be fully automated using artificial intelligence.

4. Personalization and Understanding of the Client Base

Customers may enjoy a more personalized shopping experience thanks to AI technologies in retail. These technologies, such as biometric and face recognition, are able to recognize retaining clients and retain their preferences. Accordingly, they can recommend products and design promotional materials for them. Using advanced artificial intelligence algorithms, it is possible to decipher customers’ preferences by looking at their demographic information, social media impressions, and digital footprints online. Boston Consulting Group research found that “Brands who develop tailored experiences by combining advanced digital technology and proprietary data for customers are seeing revenue increase by 6% to 10% – two to three times quicker than those who do not.”

5. Prices can be Adjusted Depending on Market Conditions

A price-sensitive business like retail can benefit from the use of artificial intelligence solutions. Many different pricing models can be compared using these programs, and then the best price for a product can be determined. Seasonal fluctuations, competing items, and customer demand can all influence how much retailers charge. If we take into account the long-term revenue it will bring in, it is a worthwhile investment.

6. Intuitive Product Searches are Sixth

Automated product discovery is another benefit of AI in retail. It’s now easier than ever for customers to take a picture of a product they want and then use the picture to look for a merchant selling the thing on the web. As a result of machine learning retail software, buyers can search for and compare products more quickly and easily than ever before.

7. Improving the Efficiency of Retail Operations

The operation of retail stores has become more difficult due to the proliferation of multichannel retail. In a warehouse, store personnel must take care of several different duties. It’s no longer enough for them to just receive things, store them, and keep track of inventories. They are responsible for providing product information, tracking promotional offers, and merchandising. Automating back-office tasks and employing robots to do quality checks are two ways in which AI in retail can help a store manager’s work be done more efficiently. The saved time can be put to better use in the warehouse, saving a significant amount of time.

Artificial Intelligence As the Future

AI has the potential to revolutionize retail enterprises in every way. It replaces intuition with intelligence and provides retailers with a long-term perspective on the market. When it comes to deploying AI, business executives must take a realistic approach. They must realize that this is a high-risk, high-reward investment that will pay off in the long run. To be successful with AI, a business must have a long-term goal in mind. Small projects should be the starting point, and subsequently larger ones should be geared toward developing long-term AI capabilities.

Are you a Start-Up or an SMB in the retail sector and want to leverage AI for your business returns? Contact Us.

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Organizations share a unique bonding with mobile devices. Doesn’t matter which industry they belong to. The rapid growth, the ubiquity of mobile phones is unparalleled and is recognized as a major contributor to the cycle of digital transformation at a global platter. B2B mobile apps, B2C mobile apps development are increasingly transforming the business eco-space, viz., improving efficiency & productivity, impacting marketing activities, customer relations, sales volumes, and so on. For brands, for customers, these business apps have become the new order of business. There’s a refreshing treatment where a customer can have the luxury to buy desired products/services anytime, anywhere. However, there are differences between the two types. Let’s explore briefly!

B2C Apps

B2C  stands for Business-to-Consumer apps and is found abundantly in all app stores. End users are the direct customers here. These apps have varied functionalities that help users from buying products/services to their taxation part, and varied other functions that fall between these two. For example, Airbnb, Uber, Ola, Bonobos, etc., and there exist over 9 million apps to choose from.

B2B Apps

B2B stands for Business- to- Business apps that aim at other businesses. A B2B app is used by another business/company/organization to run their business, perform specific tasks.POS, inventory management apps, healthcare management apps, sales apps, enterprise apps, etc. are a few B2B app types. Hootsuite, Mailchimp, Salesforce, Amazon Distributions apps are notable B2B apps in the market.

Key Differences

Already in swing, B2B and B2C mobile app development markets are still maturing while the B2C segment has a little edge over B2B.

But before we plunge into their app world, do you know the major differences between a B2B and B2C segments? They differ in:

1. Customer lifecycle
2. Buying Intent
3. Average Order Value(AOV)/Transaction Size (if e-commerce)
4. Payment forms
5. Marketing Strategies

Characteristics of B2B Mobile Apps

• B2B mobile apps work on mobile-based platforms which serve the interests of businesses helping them to simplify complex activities, functions and seamlessly streamline them. Business-to-Business (B2B)apps work as multiple productivity tools allowing smooth and efficient management of varied organizational processes, viz. inventory, data storage, managing business information, data mining, performance evaluation, compliance,report-generation, and many more. Varied stakeholders involved are business customers,  employees, wholesalers, distributors, dealers, suppliers, retailers,  etc. They can simply download the apps and visit their websites, using their authorized login credentials backed by AI-Ml and other digital technologies.

• Depending on business size and nature, a mobile app development company develops B2B mobile apps that cater to specific business needs. All UI/UX designs, navigation tools, templates, layouts, CTA (Call-to-Actions) buttons, dashboards, are built as per specific business needs only. Custom app development sees that a particular B2B app is customized to the business requirement concerned.

Characteristics of B2C Mobile Apps

• B2C mobile apps work on mobile-based platforms that interact directly with end-users/customers. Just see how an e-commerce mobile app works and connects with the target audience so perfectly well. These apps have varied features that lead to specific functionalities allowing users to perform their purchases, transactions, etc. seamlessly via their smartphones. A typical B2C mobile app focuses more on appearance, how it looks attractive to allure users who can turn up buying their products ultimately. Push buttons for notifications regarding any updates, launches, discounts are important features of apps.

• One striking difference from B2B mobile app is that in a B2C mobile app, UI features are considered very important as varied GUI tools can make or mar the reputation of these mobile apps that lead to attaining business goals. Thus, in terms of UI/UX designs, B2C apps differ from B2B apps as they cater to simplifying consumers’ shopping journey, ensuring engagement, and a seamless buying experience. Creating the first impression, retaining aesthetical aspects and features that remain customer-centric is important for B2C mobile app. As a result, B2C apps are mostly under pressure to renovate, to upgrade to gain a competitive edge in the market. They need to keep a tab on their performance, user interaction, responsiveness, content sharing, loading speed, social media marketing for perfect tuning with their target customers and the existing ones, too. Contrarily, B2B mobile apps don’t have to think about these aspects as they are business-specific where impulse buying does not exist.

B2C Mobile Apps are generally of these 3 types-

1. E-Commerce Apps
2. Mobile Loyalty Apps
3. Stand-Alone Apps

EndNote

B2B or B2C mobile apps differ in so many ways but they share one, common goal –  to provide the best customer service and experience to all! Ensuring that your customers are happy can lead you to attain path-breaking business goals generating profits and staying competitive in the market.

Interested to explore how B2B and B2C mobile apps can help you to connect with your target audience and stay ahead of your competitors? Connect with us.

The post What’s the Big Difference Between B2B and B2C Mobile Apps? appeared first on AI and IoT application development company.

Is your company ready for digital transformation? What’s your measurement score on the ‘Digital Maturity’ scale? Are you open to adopting the ‘Bionic Approach’? Where do you stand now, and where do you want to go? Unmounting questions need an articulate answer!

Digital transformation is not an overrated terminology for business leaders, for, the current pandemic crisis has only propelled its urgency quotient. Companies across industries are looking to enhance their data-driven decision-making skills, agility, and speed in the ecosystem.

A BCG survey reports, that 80% of over 5000 respondents (employees, managers)agreed that digital has helped them to face the wrath of pandemic-triggered economic slowdown so far.

Adopting a bionic approach involves the right blend of human capabilities and digital capabilities, and organizations that undergoing digital transformation apply those capabilities to all aspects of their business, thereby keeping the momentum going!

DX Building Blocks

Why Digital Transformation

Successful digital transformations allow organizations to sustain success! The process they undergo makes them “bionic” that does not require undergoing digital transformation again in the future, as they have mastered by now the knack of continuous innovations.

Digital technologies and various ways of working enhance productivity, and customer experiences as well as create new growth opportunities and innovative business models. This is the essence of a successful digital transformation within a company in an industry.

Top Segments & DX

The Davos Agenda in the ongoing WEF (World Economic Forum) in Switzerland, unites global business leaders on the significance of digital transformation and how in the past 18 months it has transformed the world in many ways.

Digital technologies have greatly contributed to society and business in a larger perspective – both, society and businesses continued to function even in lockdowns thanks to the massive capabilities of digital tools and technologies in the system.

They are being forthright on creating new mindsets and strategies to ensure a safe, equitable digital transformation that can be achieved across industries. They have applauded how digital has increased the demand for e-commerce, online learning, work-from-home, and more to see in 2022 and after.

How the rapid pace of digitalization and market infrastructure shifting from legacy markets to digitized ones are propelling DX in the ecosystem. Taking cues from the current  Davos Agenda and other research platforms, let’s explore specific sectors from varied industries and how they are faster in implementing digital transformation to boost growth.

1. Digital Supply Chain 

The global pandemic has hugely impacted the entire supply chain sector across the logistics industry. The crisis has forced industry leaders to think about digital transformation in the ecosystem to stay ahead in the race.

New strategies, business models, shifting focus towards navigating and responding to uncertainties like the pandemic crisis, and using innovations in a more agile manner, is what drive the supply-chain sector to undergo digital transformation and adapt to the ensuing changes.

As per Gartner, by the year 2024, 50% of the entire supply chain companies will invest in AI(Artificial Intelligence), Advanced Analytics-based applications/apps in their DX journey. Supply Chain digital transformation will allow companies to align with their strategies that will ensure smooth growth while mitigating risks and optimizing costs benefitting the entire sub-segment impacting the industry concerned.

The IoT (Internet of Things)technology, Big data, along with AI-ML and analytics will lead the supply chain technology areas supporting end-to-end processes in 2022 and beyond.

2. Online Learning

Digital transformation in the e-learning segment is making domains like corporate learning, skill development, and school/college education efficient and productive. Even before the pandemic struck, there was a huge demand for ed-tech tools. Web & mobile apps development, language apps, virtual tutoring, online learning software, digital learning mobile applications/apps, video conferencing tools, and AI-ML app-based e-learning tools & technologies will see a massive surge with time.

As per the UN Sustainable Development Report 2021, ed-tech investments reached US$18.66 Bn in 2019 while the overall market for online education/learning is projected to reach  US$350 Bn by 2025.

Thus, the e-learning domain is propelling the DX process reaping benefits like customized learning, greater accessibility, and use of nextgen technologies like AR/VR, AI-ML, Blockchain, etc. that allow personalized learning as well.

3. Telehealth

The current COVID crisis has demonstrated three significant things –

• The significance of telehealth; it allows telemedicine and virtual health visits in real-time.
• Integration of health data is so crucial and integral, especially in response to COVID  as tracking and distributing billions of vaccine doses are seamlessly done thanks to the power of digital in the ecosystem.
• The very pandemic crisis is greatly motivating digital technology workers/companies to develop more and more healthcare mobile apps, and telemedicine solutions, that will lead to improving human health and enhancing patients’ experience.

Thus, telehealth in the healthcare industry is set to leverage the power of digital technologies, and data science, giving the digital healthcare system a strong foundation. The very healthcare sector is indeed fanning digital transformation by adopting data-driven healthcare business models that allow digital intervention on a larger scale.

4. Fintech

The fintech sector is set to undergo a digital transformation journey backed by innovative, modernized digital tech infrastructure in the ecosystem. The financial world of tomorrow lies in developing state-of-the-art fintech solutions that can lead the way to an adaptable, better future.

With being customer-centric,mobile-first approaches and other goals in mind, the fintech model will see the following transformation in its DX journey–

• ­­­­­­Embedded finance or the fine integration of financial services into varied applications,app-based financial models.
• API distributions, Platform APIs will create an excellent environment for building scalable products on a global scale.
• The rise of open banking will increase transparency in the finance/banking industry thereby creating a convenient, modern financial model benefitting businesses, and clients without obstacles.
• Digital wallets will replace bank cards, and credit/debit cards in people’s lives, and card-less, touchless financial transactions will soon be the ultimate choice.
• Digital lending will be another facet of the fintech model that will hugely promote the  DX journey in 2022 and after.

5. Digital Agriculture/Farming

Moving forward via the DX journey, digital farming will rise above the genuine limitations of 4IR technologies(4^th Industrial Revolution tech). Unlocking varied agricultural innovations, and adopting Agricultural Data Exchange that will allow high-quality, reliable data exchanges in the agriculture sector prove valuable to help farmers at scale.

It helps to promote the present, available massive volumes of datasets in a usable format, thereby accelerating innovations along the lines of digital transformation. Thus, ADE aims to overcome the barriers of 4IR technologies, and aggregate, and connect data from multiple data providers /users thereby reducing data asymmetry in the complex agriculture environment.

The ‘last mile delivery’ start-up ecosystem, and public-private partnerships fostering multi-stakeholders collaboration will be effective models for scaling digital to harness farming eco-space.

This sector will boost DX speed by exploring the massive potentials of AI-ML, IoT, Robotics & drone-based farming solutions, mobile apps, blockchain, and many more. This move towards DX is going to help small-holder farmers and other stakeholders on a greater scale.

Spending on DX is Growing

The pandemic has widely accelerated digital adoption across all spheres of the business value chain. The global spending on the DX(digital transformation) in organizations, products, and business practices,  is forecast to touch US$2.8 Tr in 2025.

DX- A Game Changer For Enterprises

Digital Transformation is allowing businesses to combat shackles in their business eco-space. The process is not a one-time achievement but undergoes continued phases.

DX is ‘Work-In-Progress’. During lockdowns, varied digital technologies allowed companies to continue functioning, survive, and retain their decorum. And taking cues from this experience, the given sectors are highly prioritizing DX, as, someday the pandemic will be history, but, the DX journey will continue to evolve businesses across industries.

In digital transformation for a small business or an enterprise, adopting digital technologies is the key requirement to attain business goals and boost ROI.

Contact our experts for step-to-step guidance in your DX journey.

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The digital world existing today feeds on the proliferation of technology that includes the massive capabilities of mobile apps, across platforms. Whether you are a technology service provider or receptor sitting pretty on the consuming meters, you need something universal on your platter. Be it cost-effectiveness or cross-platform & usage compatibility, a React Native mobile app stands tall amongst all. A React Native mobile app is an open-source framework that uses single code to develop cross-platform mobile apps. Thus, if you are a business Start-Up looking to create your unique mobile app that functions on iOS and Android platforms, both, React Native comes as the foremost choice. But, wouldn’t you want to know how much does it cost to develop a react native mobile app? Let’s discuss!

What is React Native

React Native is the technology framework, an open-source framework used in mobile application/app development. The framework is conducive for developing cross-platform mobile apps using javascript language. Using a single codebase, React Native is used for developing mobile apps for both the mobile platforms, Androids as well as iOS.

Facebook, now Meta, created React Native, and the very framework is older than Flutter, another cross-platform open-source  UI mobile framework ( toolkit), developed by Google.

Popular React Native Apps

Original image source-  reactnative-dev-showcase

Advantages

• Less Expedition Time
• Simple User-Interface/UI
• Code sharing
• Cross-Platform
• Less Resource
• Global Community Assistance
• In-Built Elements
• Reusable Codes
• Quick Reloading
• Easy JavaScript Programming Language
• Easy Execution of Updates

Factors Determining The Cost

The overall cost of developing a React Native mobile app depends upon the complexity of the app-development lifecycle and project concerned. B2B or B2C, the app requirement varies from business to business. Just go to the previous paragraph and see the popular apps mentioned therein. All those apps have had specific requirements leading to specific development costs as well!

1. App-Complexities

i. Implementing Architecture Structure

It depends. Do you want a custom mobile app architecture or a Baas model structure? React Native helps to customize, but the complexity level increases as the demand for customizing your requirement increases

ii. Creating Admin Panel

The complexity level of your app will increase with the increased feature counts that you want to see inside the admin panel of your app. Tracking the entire app activities, updating accordingly including content management, all without any assistance of the development team is something that accounts for the cost part.

iii. Integrating 3^rd Party Functionalities

Third-party app integrations are important to make an app user-friendly and convenient to use. Easy log-in, payment functionalities, and as many integrations you want will add to the app complexity in the development cycle.

iv. In-app Purchasing Feature

In-app purchasing feature to yourReact-Native mobile app is an easy to increase your ROI prospect, therefore, businesses usually want this feature. However, it will add to the complexity level of your app, and that will influence the cost part, too.

Cost- Inference

• Simple App Cost- $10,000+
• API/Database App Cost – $10,000-$50,000
• E-commerce App cost – $1000-$30,000+
• API Integrations Cost – $4000 – $6000 per integration
• Visual Design – $5000+
• Icon Branding – $2500-$10,000
• UX design – $10,000- $25,000
• Copywriting – $1000-$5000

2. App-Category

It depends again. What category you would-be app would fall in, what type of app you wish to develop, all amount to the complexity level of your React Native App. Just, for instance, you would want to build an m-commerce app. This sort of app will involve more complex features and complicated functionalities than a mere calculator would ask for.

3. Login-Authorization

Your React-Native app might come with an in-built user login authorization feature, which would bring in more complexity levels. But it depends if your app needs this feature, it’s your call and as per the specific requirement of your app.

Cost-Inference

• Login with Social Media
• Login With Email
• Forgot Password & Login

It takes approximately 30-40 hrs. to create this feature. Then, the approx. cost with back-end support and based on $50/hour, it would entail between $1400-$2000.

4. Regular App Maintenance

Post-launch of your app, you need to maintain it on regular basis. You may require to update features, do some sort of bug-fixing, may want an update in the design part, and thus on. All these attributes end up adding to the cost factor of building your React Native mobile app.

Cost – Inference

20% to the original app development cost per year

5. Team Strength and Location

It depends again. Would you want to hire a freelancer for the job, or want to collaborate with a dedicated and responsible mobile app development company that can take the accountability of the entire React Native mobile app development process? Your call. And also depends upon the geographic location of the very company. If India, expect less expensive as compared to North America or Europe.

Benefits Surpass Expenses

“Does cost really bother you?”

As per a recent Gartner survey, between July 2020 and September 2021, the retail brands that focused on mobile app promotion on their home page triggered  9 times more total app downloads than those brands that did not. The essentialism of mobile app features creates a multitude of opportunities in any business you belong to. And this happens to be the most significant attribute for the cost-settling process while choosing to build a React Native Mobile App for your business.

If you are looking to create a React Native mobile app that suits your business, connect with our experts today!

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If you are a healthcare provider looking for creating a state-of-the-art healthcare mobile app that can liberate you from the downtime experience and elevate your healthcare business, Here You Go!

We will tell you why it is important to be industry-ready to sustain your business graphs while having a competitive edge over your rivals in the market. Just like the popular healthcare app Zocdoc. And, how much it’d cost to develop a mobile app like Zocdoc? We will explore now.

Inside Playstore

Look at the three images below. How far can you visualize your experience? If you got an app, just like what you see here, how would your users benefit?

This is the screenshot of the actual image as appears inside Google Playstore and how an app like Zocdoc is seen online.

Thus, you provide healthcare services to your target users, patients, and all your service seekers who need a reliable healthcare service at their convenient reach, within seconds and upon the click or tap of their mobile devices.

What Is Zocdoc?

Zocdoc is a popular on-demand mobile app, an online healthcare/medical app that provides patients with the telemedicine facility to schedule a medical appointment with doctors or specialists on a specified time, remote basis, or in-person in the clinic. The app allows users to search for doctors in their areas, confirm about the insurance aspect (what insurance they are accepting) and then book the appointments. As per Statista report, the global mobile medical apps market was valued at 2.4 billion USD in 2017 while it is estimated to grow to a whopping 11 billion USD by 2025. What a journey!

How Zocdoc Works?

1. Providing access to certified medical professionals, doctors, specialists to facilitate online appointments and real-time consultation for patients.
2. Users/patients can search for local doctors, healthcare providers, and specialists like dermatologists, dentists, gynecologists, eye specialists, etc.
3. Patients can find insurance coverage and eligibility criteria. All are possible within the app facility. For example, insurers like Metlife, Ambetter, Humana are eligible for this app.

The Cost Part

Do you know, when you decide to develop an app for your business, several factors are involved?

To develop a healthcare mobile app just like Zocdoc, you can expect the range somewhere from around a few thousand dollars to millions, and all these depend upon the specific features, mobile app types that you intend to incorporate. Of course, you need thorough guidance (consultation is a small word here) from an expert mobile app development company for estimating the cost as per your specific requirement. Worth knowing is you don’t have to incorporate every feature in your app, just put what you need and pay for that part only!

The company  Zocdoc provides access to its platform through a dedicated website or its mobile app/application-specific for Android and iOS platforms.

Prior Considerations to Build Your App

• The App Type 
• The App Design (Basic, Individual, Custom)
• The App Platform (iOS, Windows, Android)
• The App Features
• Total Number of Pages

Thus, a healthcare mobile app  like Zocdoc is developed/created  in 3 significant steps:

• Discovery,
• Design, and
• Development.

And these steps incorporate the points mentioned under prior considerations!

Factors for Cost Estimation

There are varied factors that decide the cost part of an app like Zocdoc. They are:

1) Specific Requirements- If your app needs more features, more money to build. Simple requirements will not ask for a bulk investment because it won’t take much time as no complex features are included.

2)  App Platform- Cost varies as per platform chosen. The cost of iOS app development is higher than that for Androids.

3) Total Features-  As you increase the number of features on your mobile app, the time to develop it will increase as so will be the cost.

4) Timeline- If your app takes much time to build, it is said to be a complex type that needs an extended timeline. Your app might need more research time, more time for designing, building, and testing as well. Fewer features need less time, hence less cost.

 5) Team of Developers- A complex app project needs a larger development team, which means more time, and money.

6) Location of App development– Location matters while deciding the cost part of your mobile app. Your mobile app development company can onboard developers working remotely at the global level and resources demand specific perks depending upon the countries they reside. According to one study, North American is considered the most expensive location for app development process/work. India is comparatively lower in terms of cost for developing an app like Zocdoc.

7) Target Audience/Market-  If you are developing for a very niche audience, for a specific location or set of communities, the cost may be less and cheaper than if you target for a larger audience (you will have to go for translation features, etc.).

8) Pricing Model for App Stores- The pricing models differ for Google Playstore and Apple App Store. That might lead to your final cost destination. Do thorough market research to conclude about benefits and app costs.

9) Programming language- What languages for app development your mobile app development company chooses influences the cost part.

10) Integration with Third-Party  – If your app has inbuilt integration with social media tools, payment processors, and other services will determine the cost development, as it demands more time, more money.

11) App -Maintenance- Post launching your app, it needs constant support and updates. However, this phase won’t ask for more expenses but depends on how many features you need to modify, upgrade depending upon the Users’ reviews and the app’s impact on them.

APP Features like Zocdoc

Your specific medical/healthcare mobile app should have features like the Zocdoc app. They are:

• Registration/Login Functionality
• Information Gathering Feature
• Scheduling Functionality
• Reminders
• Appointments Cancellations/Modifications
• Easy Navigation &Accessibility
• Video Conference Option
• Push Notifications
• Payment options
• Map integration

The integration of the above features adds to your cost estimation, too.

Budget Estimation

Based on varied trusted sources including  Fusion Informatics, a mobile and web development company you can depend on for your app development needs in the future, the following detail we can share with you:

Development Cost  – Between  $25,000 & $50,000 (based on the complexity of your app/ project)

Design Cost –  Between $10,000 & $25,000 (based on number of pages and  changes required)

Cost for QA Testing –   Between $3000 & 5000 (based on testing done on varied devices, browsers, and then identifying bugs as well as optimizing the platform)

Marketing Cost –  Between $5,000 & $30,000 (based on target market size and branding strategies)

Maintenance Cost – Between $5,000 & $15,000 (post-launch phase and based on updates needed)

Overall, the Cost to Develop Mobile App like Zocdoc would come around anywhere between $80,000 & $150,000.

Explore with Us

The idea is, do your basic research. Read multiple reviews from varied clients and customers who are using an app just like Zocdoc. Make comparisons. Read from business perspectives as well as patients’ perspectives. Form an opinion. If confused, do not hesitate to contact a reliable technology company dealing with the mobile app development segment.

Contact Us and Get Started for your remarkable mobile app development journey that will change the landscape of your healthcare business.

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The onset of Covid-19 has brought about inevitable changes throughout the healthcare industry. Countries across the globe are facing the wrath of COVID impacts as the absurdity continues to prevail. Healthcare leaders, policymakers, public in the United States are very eager to know what 2022 holds for them. Healthcare technologies like Data Analytics, Artificial Intelligence, Machine Learning, IoT, Robotics, Telemedicine capabilities have immensely expanded to support the pandemic response and subsequent recovery, a notable trend that will likely continue to accelerate healthcare technology in the United States (US). Let’s see some of the significant healthcare trends in the United States and how technology is playing a significant role in shaping them.

1. Personalized Consumer-Care

i. In-Store

The landscape of healthcare services and delivery in the United States is undergoing a major transformation, providing patients with choice-based options for healthcare than ever before. While this transformation in healthcare unfolds, care delivery will see some striking, new consumer-friendly models that will benefit stakeholders across the healthcare industry in the US. If you are in the USA right now, you will observe MinuteClinic everywhere, in almost every city in the USA. As per CVS, there exist more than 1,100 MinuteCinics sheltered in target stores and CVS pharmacies across 33 states and the Columbia District.CVS is a renowned healthcare retailer within primary care in the healthcare sector in the United States. However, there are more retailers in the healthcare domain. According to CNBC October 2021 report, Walgreens Boots Alliance plans to open a minimum of 600 primary care clinics in the US by 2025. The healthcare trend in the United States will see major retailers establish a foothold in the sector of primary care, and patients will have many options to choose from. These retailers (retail pharmacies) are transforming the primary care model into a one-stop shop that provides seamless service to the end-users/patients/consumers. Retail pharmacies or retailers, receive great volumes of customers’ data and know their specific requirements. Thus, personalization of delivery service allows patients to drop by one location get treated, get medicines and quickly get over with the process therein. Understanding specifically about current and future consumers/customers is what about the upcoming healthcare trend in the United States.

ii. Virtual Care

During the pandemic, virtual healthcare has become very popular especially after the pandemic struck. Patients who just cannot manage in-person visits are preferring connecting with doctors, physicians on a remote basis. Healthcare providers have noticed this trending consumer behavior of patients and others and integrating relevant digital tools and technologies into their current landscape. This is leading to increased consumerization, on the part of retailers as well as virtual healthcare providers, which is improving patients’ experience ultimately. Especially for those living in rural areas, virtual healthcare services (telemedicine types) help to provide enhanced access to primary care for patients. These trends are picking up greatly throughout the US and pressurizing healthcare fraternities, hospitals, to match what consumers want. Consequently, many health systems are heavily investing in telemedicine, virtual care.

2. Automation & Digital Assistants

There’s been a massive shortage of healthcare staff across the United States. As reported by Bloomberg, the US Health & Human Services Department confirmed that as of October 1, 2021, “16% of American hospitals had critical staffing shortages”. Healthcare providers like nurses, doctors as well as call center agents have been in shorter supply! These shortages in healthcare staffing have propelled the growth of automation in the healthcare segment. This will allow patients to receive the best care they need without delay. In the last few years, US healthcare like hospitals, clinics, has adopted patient journey automation which is helping to reduce manual clinical work, administrative work involved in patient care. For instance, healthcare apps, digital chatbots, AI-ML powered virtual assistants, are facilitating a smooth and efficient care journey for patients at the early stages of the care process. These virtual assistants help patients in finding a doctor in the nearby area, can book appointments for consultation with a physician, and get personalized recommendations for varied healthcare issues. These digital healthcare assistants reduce the workloads of care teams, do post-discharge follow-up with patients, and so on. Thus, app-based automation of the clinical work, administration work, can prove to be a big time-saving, cost-effective solution to the staff-shortage challenge. Indeed a popular healthcare trend that will pick up in 2022 in the United States.

3. Data and Analytics

The pandemic has accelerated the pace of technological intervention in the entire healthcare segment across the US. There’s been a massive demand for real-time data to get eth right statistics and insights. Health systems in the United States are increasingly leveraging data & advanced analytics that update them with the latest insights and predictions helping in the decision-making process. For instance, hospital administrations want to have the updated COVID-19 dashboards on an hourly basis. Using data analytics they can seamlessly do so. AI-ML predictive analytics, advanced analytics, is now at the forefront of disease response, like, predictive analytics, models, track the virus and then estimate the severeness of Covid risk in patients, whether mild or severe symptoms, thus enabling for an effective, efficient treatment.

4. Telehealth Will Stay

The healthcare trend in the United States has shown an immense inclination towards digital technology-powered telehealth and telemedicine. The pandemic has only triggered its usage as it allows virtual treatment and healthcare service delivery. Touchless health systems adopting AI-ML-IoT enabled tools to facilitate smooth care for patients on a remote basis. Interactive & live, real-time virtual consultation,store-and-forward telemedicine, remote patient monitoring telemedicine all are diligently assisting healthcare efforts in the country. As per McKinsey’s study, telehealth adopted by patients in the US rose from 11 to 46 %  in 2020. Moreover, the prediction says telehealth could account for the massive 20% of the entire US healthcare spending in the future, and that means 250 billion USD.

Resonating With Digital Adoption

As per Forbes, these healthcare trends are very much to stay now in the USA and will impact healthcare in positive manners. The wider adoption of digital tools and technologies in the healthcare sector will assure convenient and efficient healthcare access for underserved patients, improved workload distribution for clinical healthcare staff, less administrative burden, and powerful integrated care delivery networks. Healthcare providers need to strategize while following these trends that will shape up their healthcare outcomes in 2022 and beyond.

Are you a healthcare service provider in the United States and want to integrate digital into your business following the latest healthcare trends encompassing your country? Connect to our experts today.

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AI or Artificial Intelligence has major applications in the manufacturing industry. Right from developing OEE (Overall Equipment Efficiency) to FPY (First Pass Yield) production, AI is transcending levels. In manufacturing operations, AI is transforming machinery maintenance, AI-ML-powered analytics based on data predicts how often hulls of ships should be cleaned for maximum efficiency leading to huge cost savings in transportation, etc. For example, some companies use AI for evaluating component images during ongoing production lines that help to spot deviations from the standard in real-time.AI innovations are helping to expand uptime while focussing on quality, and efficient production, process, and the overall output. Let’s see the top 10 AI innovations in the manufacturing industry that are attracting manufacturing companies across the globe.

1. Robotic Plasma Cutters

The AI-driven robotic arm is assisting in the plasma cutting process and eliminates the requirement of the human labor force. Plasma cutting is a significant part of the manufacturing process and it was considered as one of the biggest technology wonders at the time of the industrial revolution. Traditionally it involves huge human labor but AI innovation is allowing to replace this with the cutting-edge robot arm simplifying cutting and assembling processes. It is considered now a remarkable AI innovation in the manufacturing segment.

2. MV Error Detection

AI-driven  MV (Machine Vision)is helping manufacturing with error detection. The technology of Machine Vision frameworks allows manufacturers to digitalize quality control processes in the front & back finish of creation lines. Machine Vision mistake location further allows to recognizing error while expanding a value-based creation of the products concerned.

3. AI-IoT Sensors

AI-IoT-based sensors are a leading AI innovation in the manufacturing sector. IoT (Internet-of-Things)sensors help to assemble information throughout the manufacturing processes at varied phases. All this information serves for continuous advancements and prescient support to manufacturers across levels. IoT sensors backed by Artificial Intelligence are an innovative name, too, in the manufacturing industry.

4. 5G Digital Connectivity

Though 5G (just like IoT) is not a complete AI-based manufacturing technology, it is helping the industry alongside AI for smart Connectivity. Companies offering 5G connectivity have not yet reached the farthest connectivity levels for buyers but proving to be a great support for assembling offices.5G  facilitates a high-speed data transmission bringing in more connectivity potential where AI-powered tools capture those data and process, analyze them helping manufacturing owners with better decision-making ability.

5. 3D Printing

 3D Printing has come out as one of the latest AI innovations in the manufacturing sector. Also referred to as an added substance fabricating,3 D printing is a notable digital device for specialists. The technology is helping manufacturers to create just specific parts or items in a singular form, as solitary pieces. This is allowing for a better arrangement and efficiency in the ecosystem. This is also considered one of the major AI-powered digital innovations in manufacturing the world over.

6. Video Surveillance Cameras

AI-powered video surveillance cameras are considered a boon towards managing security in the manufacturing industry. The very technology helps to manufacture businesses to cope with the higher costs involved for live security personnel ensuring safety and security. Workplaces, factories, logistics, and several areas that need constant vigilance and monitoring are not possible to be done manually. So, AI innovation in the form of advanced video surveillance technology, cameras, is helping organizations to carry out security features in a seamless manner.

7. E-Tail Supply Chain Model

AI-based automation at varied points, warehouses, procurement facilities, is helping the logistics in the manufacturing sector for efficient and productive ­­­­­­­­­­­­­ end-to-end processes and deliveries. This has created a new model, the e-tail supply chain model that connects, integrates inventory, and varied other logistics stakeholders ensuring improved supply-chain management overall.

8. Visual Inspection Tool

AI-enabled automated visual inspection tool is another landmark AI innovation in the manufacturing sector. Businesses are leveraging this AI capability to a great extent as it can detect flaws that are too small which humans cannot see with the naked eye. Products with microscopic flaws can be detected by AI-enabled cameras that are highly powered and sensitive than human eyes. The overall system can recognize even the smallest defects, flaws in products, mark them and send timely alerts to the concerned department.

9. AI-ML Inventory Management Solutions

Manufacturing businesses take into cognizance this aspect of AI intervention in the sector. Inefficient inventory management leads to greater overhead costs that are detrimental to any business involved. AI-ML-powered inventory management digital solutions help to manage the entire process effectively increasing productivity and efficiency. Manufacturers can manage inventories seamlessly based on demand and supply meters.

10. AI-Enabled Robots

 AI-enabled robots are replacing humans for risky transactions and lifting heavy equipment required frequently. Thus, AI is more than just a digital method to optimize automated processes. Remotely controlled  AI-enabled robots can do varied tasks that are beyond human capacity.   It enhances the traceability, flexibility aspects enabling successful operations in the ecosystem.

Wrapping Note

Want to know what is the future of AI in the manufacturing industry? As per Fortune Business Insights, AI (Artificial Intelligence) in the manufacturing market is geared for a massive USD 9.89 Billion by the year 2027! This is self-explanatory of the beneficial use cases of AI and how the technology is transforming the industry with magnificent innovations and inventions bringing positive outcomes!

We know during the entire manufacturing process, you deal with several challenges, right from raw materials to the process of production, from testing to marketing, and then for delivery. AI can help you in eliminating mundane tasks and bring productivity in multiple areas – Connect to our experts to know more.

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