In India, CPG brands like P&G and Unilever rely on sales forces to gather inventory orders and expand retail networks. Apart from taking the orders, one of the KPI for these salesman is to add new retail shops (Mon-n-Pop stores) to increase business. However, some sales personnel create fictitious retail shops in databases, fueled by KPI pressures, submitting random images to fulfill mandatory photograph requirements. Currently, no effective automated solution can verify store authenticity or detect duplicates.

Collaborating with a leading CPG brand, Rohit and his team processed one million images to enhance their data quality and remove duplicates. Leveraging GenAI multimodal algorithms, they distinguished store images and identified duplicates using embeddings. This presentation will showcase how GenAI Visual Question Answering addresses this real-world challenge