E-Commerce and Retail

Enabling Dynamic Pricing, Promotions, and Assortments Recommendations for Retailers

#AI and Data Management

Business Objective

The Client, a global management consulting firm, sought to provide a real-time pricing optimization service to its retail customers

Transformation

  • The Client partnered with Exadel to design, validate, and develop a high performance and scalable data warehouse to underpin AI-powered applications providing dynamic retail pricing, shelf assortment, and promotions recommendations
  • Engineered a modern, cloud-native data platform to pipeline, store, and serve large, complex datasets including retailer and competitor pricing, retail locations and shelf parameters, product velocity and volume, and ad spending and performance across channels

Results

Engineered a modern cloud-native data foundation to underpin current and future AI-powered retail pricing, promotion, and assortment recommendation applications

Improved ML and application development productivity by standardizing data pipelines and warehousing for large, diverse, and complex datasets