Growing Market Share with Vision Analytics for a Global FMCG Company

Client

The client is a British multinational consumer goods company headquartered in London, England. Their products include food and beverage, health and hygiene, and personal care products.

Challenges

• To Identify, measure, and act on the share of brand SKUs on retail shelves compared to competitors.
•  Customer dealt with lost sales and market share because of non-compliance of SKU placement in shelves to set guidelines.
• Inconsistency of manual updates from individual sales representatives on the SKU placement/on-shelf availability.
•  Customer wanted to automate this process by using images of the shelves for image processing to decipher the store’s compliance with standards that would aid in better planning and decision-making to ensure ongoing product availability.
•  Customer wants to monetize the improved execution to report an incremental revenue number.

LTM Solution

• Images are ingested and processed by the AI solution to detect attributes such as SKU Unit, SKU category and sub-category, and SKU quantity for both the customer and competitor products 
• Addressed labelled data problem using active learning and auto-annotation 
• The model output is then delivered in an Excel format that is made available to stakeholders on a weekly basis

Benefits

• Solution benefits 2000+ stores and supports the planning of 11 Brands comprising 50+ SKUs across 4+ countries
• By automating the process of analyzing SKU placement in retail stores, effort savings is achieved allowing better sales representative productivity
• 1000+ images processed per week to enable consistent reporting of SKU placement/on-shelf availability allowing for an accurate, standardized view of market share KPIs
• Using this solution, customer was able to recommend new products to stores
• Potential to improve on-shelfavailability of customer’s products resulting in revenue uplift