Case Study: a medium-sized retail company in Europe boosts demand forecasting and cuts stockouts with InData Labs

a medium-sized retail company in Europe cuts stockouts by 60% with InData Labs

The client, a medium-sized retail company in Europe, faced challenges with ineffective inventory management and unpredictable demand due to manual processes. They partnered with InData Labs for full-cycle web application development and a predictive analytics solution to modernize their operations and expand into e-commerce.

InData Labs developed an e-commerce platform and a core AI-powered predictive analytics module for demand forecasting and dynamic price optimization. The solution delivered a 92% demand forecast accuracy, reduced stockouts by 60% per quarter, cut overstock volume by 40%, and decreased retail shrinkage by 35%, achieving a full ROI on the analytics module within eight months.