Enabling Dynamic Pricing, Promotions, and Assortments Recommendations for RetailersEnabling Dynamic Pricing, Promotions, and Assortments Recommendations for Retailers
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
Business Challenge
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 channel
Case Studies
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Real Results
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