Client:
Grocery Retail Chain with multiple stores.
- Challenge:
- The client aimed to enhance the performance of individual stores by optimizing inventory levels, pricing, and customer experience.
-
- Solution:
- The grocery retail chain implemented CODA IQ to analyze EPOS data from different stores, focusing on KPIs like sales by product category, customer footfall, and price elasticity. They also incorporated competitor sell-out data to gain insights into market dynamics.
-
- Results:
- - Adjusted inventory levels based on product popularity and customer demand patterns.
- - Optimized pricing strategies by comparing competitor pricing and identifying price-sensitive products.
- - Analyzed footfall data to improve store layout and staffing during peak hours.
- - Implemented targeted promotions and loyalty programs based on competitor insights.
- - Store-level performance improved, leading to higher customer satisfaction and increased revenue.
-
- These case studies illustrate how CODA IQ, the EPOS analytics tool for the FMCG industry, can be utilized for new product launches, SKU optimization, and store-level performance enhancement. The tool's ability to analyze EPOS and competitor data provides brands with valuable insights to make informed decisions and achieve their business objectives.
