Case Study: a large retail technology solutions provider improves promotional forecasting with AgreeYa Solutions

AgreeYa's Cloud-based Solution Enables Retailers to Achieve Better Results with Promotional Activities

A large retail technology solutions provider faced challenges with its outdated promotional forecasting applications. Due to shifting consumer behavior, its process for forecasting promotional lifts had become inefficient and time-consuming, hindering its ability to deliver a competitive edge to its retail clients. The provider engaged AgreeYa Solutions to modernize its solutions and help optimize promotion forecasts based on multiple geolocations and pricing.

AgreeYa implemented an efficient cloud-based solution using Google Cloud Platform, node.js, and BigQuery. Their experts used an Agile development strategy, breaking the workflow into small events to improve performance and maximize cloud resource availability. The solution ensured the timely availability of accurate data, removed technical restrictions, and enabled the customer to satisfy its clients and meet SLAs. AgreeYa delivered the optimized solution within a minimal timeframe while covering maximum features.