Case Study: Fashion Industry achieves faster, AI-driven order fulfillment and reduced stockouts with Ezappsolution

Manufacturing Order Fulfillment Using AI

Fashion Industry, a leading supply chain management provider for fashion retailers, faced inefficiencies in backfilling stockouts, meeting high demand through procurement, and needed more structured, responsive and secure applications. The customer engaged Ezappsolution to augment their technology team and revamp existing applications, with a focus on automating stockout prediction and accelerating timely order fulfillment using AI integrated into their sales platform and Order Management System (OMS).

Ezappsolution implemented an AI-powered solution that integrated with the OMS and reporting engine and deployed multiple machine learning models (including Random Forest, XGBoost, LGBM, Bayesian networks, BSTS, neural nets and ensemble/Markov approaches) for demand forecasting, stockout prediction, shipment forecasting and sales-driver analysis. As a result, Ezappsolution helped Fashion Industry streamline order fulfillment, reduce stockouts, improve forecasting accuracy (MAPE-based pipelines) and achieve more timely fills and measurable sales growth.