Supermart Case Study

How A SuperMarket Optimize Product Placement and Space Utilization.

INTRODUCTION

One of the new, up-and-coming supermarket chains in India wanted advanced analytics about customer movement in their store and wanted to see if they can use this data to acknowledge actual benefits inside their stores. There was a collaborative experiment done in one of their largest stores in Delhi (25,000 square ft). The experiment was to quantify space usage. This Supermart Case Study would help to evaluate the customer need and choices they make in the store.

SUPERMART CASE STUDY HEATMAPS

Agrex.ai Heatmaps tracks people across cameras inside a single retail store to understand deeply the behaviour of customers inside the store. This includes information like

Hot and Cold Spots
Movement Patterns
Product Engagement

SUPERMART CASE STUDY ANALYSIS

Using the heatmaps generated from the cameras the analysis was done by the operational team to study the usage of different areas in the store by looking at hot and cold spots. In addition to the engagement with different products/areas/aisles/shelves was determined qualitatively to see how “interesting” new products were for customers. Another analysis was done on the shopper flow to see exactly how customers explore the store.

RESULTS

According to the information obtained from the heatmaps, the following changes were done inside the store :

Some more products/advertisements were added in the areas which were determined as cold zones leading to more product variety inside the store.
According to the product engagement, there was A/B testing done to identify if the traffic was because of the product itself or because of the location. High visibility locations were identified to stock high margin/preferable products at those locations
Shopper Flow was measured to identify popular paths taken and some A/B testing was done to achieve a good ratio of visibility of products All these optimisations were done over a course of a few months and simultaneous improvements were done on the floor utilisation and sales increases.

CONCLUSION

Here as an AI Software Company. We are providing a Solution to Our Clients in Supermarket Industry. Providing Constant and advanced analytics about the customers in Store, along with Real-Time Notifications. Our Journey from the scratch was to achieve faith in our Clients with video analytics. The collected data would benefit your store Inside out.