We’ve entered the era where shoppers enter a grocery store, activate the retailer’s smartphone app, grab the things they need, and exit through the same “gates” they entered without pausing to bring out a credit card or cash. What they take is automatically debited to their account.
Retail technology vendors are only now beginning to apply artificial intelligence to the special difficulties of grocery shopping. The predictive powers of AI could be particularly useful for grocers in projecting inventory demands, setting product prices based on internal and external factors, evaluating customer behavior, loss prevention, delivery services–and much more.
Let us discover the best 3 applications of AI in grocery and produce that are making all the revolutionary changes in the sector.
Theft Prevention
Customers who shoplift have traditionally caused losses to grocery and retail stores. The imaging system offered by leveraging AI in grocery stores promises to reduce or eliminate theft and other losses at retail chains.
Sweethearting, an act of a cashier feigning a product scan at the checkout in cooperation with a customer who could be a friend, family member, coworker, or someone they can refer to by the endearment.
With AI, stores can have a good checkout vision system that detects checkout faults or cashiers that skip scanning at the grocery checkout counter thereby omitting the concept of sweethearting and preventing theft.
You may also be interested in: How AI can help Grocers with Category Planning
Waste Reduction
In the food and grocery business, AI appears to be dominated by innovative start-ups and tech firm alliances that are building machine learning algorithms to address specific difficulties. Smart scales, AI-guided intelligent meters, and cameras are used by companies to distinguish between different types of food waste and to measure food quality. To recognize the thrown food, the system is programmed using machine learning techniques.
AI can also assist by eliminating needless food waste and preventing the waste of edible food. AI is one of the most important technological advances of the Industry 4.0 era, and it offers a once-in-a-lifetime potential to shift the food system from a linear to a circular paradigm.
Inventory Management
One noteworthy advancement in AI for groceries is the use of robotics to assist in inventory management, which, if left unchecked, may lead to price errors and out-of-stocks, all of which can have a direct influence on sales and earnings. Out-of-stock products, price inconsistencies, and lost items are all detected using AI in grocery and produce, which employs visual recognition and machine learning technology.
