India retail revolution: Data-Driven Retail Industry 4.0
The 4th Industrial revolution (Industry 4.0) is the age of artificial intelligence (AI), robotics, automation, and biotechnology. The idea is to use machine learning algorithms to train machines or computers, to mimic human learning in certain tasks. In some cases, even more effectively than a human, creating machines with context-specific intelligence. Industry 4.0 is built on the foundation of the previous information and digital age which has generated large scale datasets. The ultimate goal of AI is to analyze this data, to create intelligent machines with a certain level of perception, cognition and intuition to mimic human-like functioning in some jobs. We can derive actionable insights that can significantly improve the business, reduce inefficiency, and uncover hidden patterns, personalized solution. Some examples of this perception intelligent machine include voice recognition tools like Alexa, and Siri and facial recognition tool in iPhone X series phones. Examples of cognition intelligent machines include Google’s partnership with US DOD to make smarter drones for surveillance and defence, Tesla’s foray into autonomous vehicles, IBM Watson and Lante
Pharma are leveraging AI technology for mapping right cancer drugs to the right cancer patients using a genetic signature with a very high predictive accuracy. One such example for the intuitive machines is India based Intuition Systems’ POS.
Intuition is an award-winning POS and business management technology group in India with a core foundation of data, AI, robotics, software, hardware technologies. Intuition was founded in 2012 when Asai brothers couldn’t find a modern easy to use affordable POS system for their previous restaurant businesses.
The complexity, data, security aspects of the business naturally took Intuition towards integrating machine learning, automation and intuitive user experience in their POS software and hardware.
Read more: https://www.insightssuccess.in/india-retail-revolution-relevance-brick-mortar-stores-industry-4-0/
Further reading
Further Reading
Article
Beyond the hype: Why AI projects fail and how to succeed
Artificial intelligence continues to dominate business conversations, but enthusiasm alone does not guarantee results. While many companies rush to adopt AI in hopes of gaining a competitive edge, a large number of initiatives still fall short. The problem is rarely the technology itself. More often, failure happens because organizations approach AI without the structure, readiness, and discipline required for long-term success. AI projects do not fail because the technology
March 4, 2026
Article
AI Avatar Development: Pros, Cons & Industry Use
AI Avatar Development: Real Innovation or Just Hype? In todayâs hyperconnected world, attention is currency. To stand out, brands can no longer settle for flashy features or surface-level engagement. They need to build meaningful, scalable, and personalized experiences. Enter AI avatars: digital humans that are revolutionizing communication by bringing lifelike presence to virtual interactions. Imagine a team member who never takes a coffee break, speaks ten languages fluen
February 27, 2026
Article
Beyond the Script: How Call Centers Keep Telecom Networks Running and Customers Happy
The Quiet Engine Behind Every Connection Most people think of telecom services as towers, signals, and mobile data moving invisibly through the air. Yet behind every call that connects and every message that reaches its destination, there is another system quietly working in the background. That system is the call center. While customers often interact with telecom companies only when something goes wrong, these centers operate constantly, guiding problems toward solutions an
February 23, 2026
Article
Why Lead Generation Alone Is Failing Solar Companies Without Appointment Expertise
Introduction The solar industry once believed that collecting as many leads as possible was the fastest path to growth. Marketing teams focused on filling databases with names, phone numbers, and email addresses. At first, the numbers looked promising. Dashboards showed rising interest and more inquiries than ever before. Yet behind the scenes, many companies began to notice a quiet problem. Revenue growth did not match the flood of leads. Sales teams felt overwhelmed, conver
February 6, 2026