Smart Shelves: A Tool For Optimizing Retail Space and Grocery Stores inventory management

Labor intensive work can not only be difficult to maintain but also complicated to manage. Restocking, organizing, and arranging can be a hassle, especially if your store is big and busy. Facial and object detection technology is capable of making these everyday employee tasks easier, precise, and effective.

Smart shelves will have a wide impact starting at manufacturing warehouse levels all the way down to store and market retail levels. Never before have businesses been able to obtain accurate, real time, intelligent analysis and tracking of their products.

Less Employees, Less Stress

Object and Facial recognition can examine manufactured or fresh foods to properly proceed with an accurate checkout incorporating the store’s recent deals, sales, and coupons.

With proper security, your store can run 24/7 with consistent and quick AI checkout systems. Consumers can create a file and pay through their facial account.

AI checkout stations can be placed all over the store, providing all-inclusive checkout services at all times. Using facial and object recognition, AI systems can eventually be energy-saving by shutting off when a lower amount of customer service is required.

Quick and Efficient Inventory at Glance

Object recognition will provide data on when to restock and how much to purchase. The system will be able to notify workers when there is a need to refill an item in the retail setting while also alerting the manufacturers to produce more of the sold out product.

All of this can happen behind the scenes while your employees are tending to customer needs. AI technology can monitor the popularity of goods so you can buy according to consumption patterns.This information will help your company refrain from being understocked and prevent waste of excess goods.

Object recognition can observe which shelves are empty and where restocking is required. Naturally, this notification can make sure employees look in the right places when replenishing the merchandise. When a little kid puts a bag of cookies near the canned foods, employees will be notified, keeping the store clean and productive.

Detect the Bad Ones to optimize inventory management

When supply is delivered in mass shipments, defects or shortcomings can be difficult to spot and sorting products can easily be subjected to human error. AI object recognition technologies can examine any deformities or imperfections so you can notify your supplier and handle the situation straightaway. AI will separate and sort your products which not only saves time but reduces extensive labor for your employees.

Keep track of all products, whether food or merchandise, and determine if products are expired or damaged. This will enable employees to properly dispose of the item before it is seen by a customer.

Employees can only be in one place at a time. Through this technology, it becomes easier to oversee the entire store and monitor everything within it. A safer and cleaner food industry will emerge from this technology and foodborne illness could be prevented before an outbreak, as AI will detect any issue in the factory or on the shelf.

While your business can focus on other matters, detection technology will promptly identify your target audience in the blink of an eye. The data rendered from this technology can offer conclusive business information, such as which gender enjoys and appreciates your products or services more, what the average age of your customers are, and what kind of style or associated brands does our audience possess.

Companies can eventually offer a more personalized shopping experience as they become aware of their audience’s particular and exclusive demands.

Integrate Complements and Substitutes

The structure of any store is critical and knowing where to put what product may be a challenge. Whether it’s in retail, deciding if a dress fits in a certain section, or a supermarket placing the salsa next to chips, arrangement is key when attempting to grab a consumer’s attention.

This data can be recorded in unparalleled levels, helping your business figure out what customers buy, what they buy it with, what their second option is, and where on the shelf is optimal. Using facial and object recognition, artificial intelligence will observe each product and the patterns in which consumer’s purchase it. With real-time analysis, specific purchasing details can be provided that no human eye could ever detect.

With the help of facial and object recognition, rearranging complements and substitutes will stimulates positive shopping methods, making the experience favorable, pleasant, and worthwhile.

Implementing Artificial Intelligence in Stores Through KanduAI’s Technology

KanduAI’s unique, patent-pending technology incorporates facial and object recognition with your business’s offline advertising. It can run on any Edge device while using only 4% of the resources needed by other solutions. Working on battery-operated devices, as opposed to electrically-connected products, KanduAI’s solution doesn’t require high bandwidth or constant internet connection.

KanduAI’s technology is built on privacy, security, and scalability and is capable of accommodating any enterprise requirement.

Dana Reich-Adam

I am the VP of Marketing at RedFalcon.AI, a startup that brings state-of-the-art artificial intelligence to all edge devices. Through facial and object recognition on everyday devices, RedFalcon’s analytical application can provide businesses with the data they need to skyrocket their marketing campaigns. For more information on how we can help your business, contact me anytime at dana@redfalcon..ai

Leave a Reply

Your email address will not be published. Required fields are marked *