Adastra
131 Case Studies
A Adastra Case Study
The client, a leading global wholesale distributor of building materials, faced challenges with inventory forecasting, supply and demand management, and a lack of integrated data for decision-making. These issues led to manual processes, product waste, and high costs. Adastra was engaged to develop a solution leveraging Azure Synapse and AI to address these supply chain inefficiencies.
Adastra implemented a multi-phase solution that included building a centralized data repository on Azure, deploying machine learning models for just-in-time inventory, and optimizing truckloads and warehouse layouts. This resulted in improved process efficiency, reduced freight costs, and faster order fulfillment. The project achieved multi-million dollar savings for the client through these optimizations and significantly improved inventory turnaround.
Leading Global Wholesale Distributor of Building Materials