How a large retailer leveraged historical data and a collaborative approach to procurement to better align its freight network and drive sustainable savings.
A Fortune 500 retailer struggled to reduce freight costs and lacked the data intelligence required to optimize their freight spend. The team had shipping data but could not utilize the data to make decisions. Engaging with RateLinx for a free Modeling & Optimization Analysis, the retailer better aligned their freight network and discovered hidden cost‑savings.
The company wanted to become data-driven—to use data to make decisions rather than justify decisions after the fact.
The free Modeling & Optimization Analysis analyzes historical data to determine performance improvement and cost savings opportunities. Results are delivered in less than 30 days.
The modeling analysis identified significant sustainable savings and highlighted exact changes the retailer needed to make for each carrier. Then, in lock-step with each carrier and with precise, prescribed changes, the company confidently and easily operationalized newly procured rates.