With the advent of e-commerce giants, the retail industries have been on a decline, forcing a lot of them to close their unprofitable stores and seek for a change in strategy. The over reliance of customers on e-commerce has implied shoppers to see more choices, detailed information, customer reviews and customized selections of things that are remarkably picked for them when they shop on the web.

While it is very easy to capture rich relevant information about customer behavior and preferences on an online store, it is extremely difficult to do so for a brick and mortar store. Fortunately, when retail is seeing some dark days, another area of technology has appeared that will empower these retail stores to give unique experiences to their buyer. These innovations are powered by Computer Vision.

Just Analytics’ Retail Genome empowers any retail store to use off the shelf cameras to capture rich and actionable information about customer behavior and preferences. It can help a store give personalized experience to its customers while bringing down costs associated with stock outs and inventory monitoring. The offerings covered under Retail Genome are:

1. Shopper Analytics

Using computer vision, we can detect what products customers are looking at and putting into the basket. You can even break down the analysis to see demographic trends (age, gender, and ethnicity), psycho-graphic insights (brand affinity, consumer trends), and behavioral (research offline buy online, impulse buying) patterns of your customers.

2. Customer Service

If a customer looks unhappy or confused, our model sends a notification to the Store Executive to assist the customer.

3. Inventory Management

Computer vision can also assist with retail inventory management. On-shelf availability is a key factor affecting sales. Retail Genome uses computer vision to notice when items are running low on the shelf and sends notifications to the Store Executives with the exact restocking action. This helps reduce overhead in refilling and drives profitability by preventing lost sales.

4. Product Placement

Using Association rules mining, Retail Genome gives the most optimal product placement and bundling recommendations.