Challenge

The client is a Fortune 500 company, a leading Consumer Goods player with a large presence in brick-and-mortar retail.

The company was using human-based processes to track, trace and fulfill their CPG/FMCG products/brands/SKUs at several brick-and-mortar retail distribution point-of-sales. Given the scale of operations on various SKUs/brands/variants handled at each point-of-sales touch points, the process of acquiring information was slow and unreliable, leading to missed sales opportunities and absence/delay in customer satisfaction.

Solution

Our Point-and-shoot camera-based AI mobile application makes this process simpler, reliable and easy to integrate with existing retail sales operations. The entire process can be executed within minutes to capture images and process image analytics to get real-time and accurate data reporting to ensure best retail execution with relevant information to make faster decisions.

Impact

Automated measurement and monitoring of KPIs like Distribution, Shelf-Share%, Price-Points, Competitive Intelligence and Planogram Execution/Compliance in real-time led to 20% improvement at points-of-sale.

Video

• https://youtu.be/6vVe3GNVTE8

Challenge

The client CavinKare is a pioneer of sachets in India. 80% of their hair care business comes from sachets. They wanted to know their share of visibility in the kirana outlets.

Kirana outlets are very small spaces, cluttered with several products hanging on a wire across the shop.

The sachet sizes are about 2”x1.5”. The challenge was to count competitive sachet strips and provide as much granular details as possible.

Solution

Using the image recognition expertise built into CAInatics, Constems-AI engineers trained the data on this smallest SKU in the shampoo category not only to read brand names but also sub-categories, ingredients and benefits.

Outcome

This is a technological breakthrough, a never been done before feat.