Use Case
How a large retailer leveraged historical data and a collaborative approach to procurement to better align its freight network and drive sustainable savings.
Shipments Analyzed
Annual savings Discovered
Days to Completion
Overview
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.
Challenge
The company wanted to become data-driven—to use data to make decisions rather than justify decisions after the fact.
Approach
The free Modeling & Optimization Analysis analyzes historical data to determine performance improvement and cost savings opportunities. Results are delivered in less than 30 days.
Analyze Historical Data
Identify change opportunities in shipping practices to improve performance and reduce costs.
Improve Procurement
Deliver advanced, detailed routing information so the shipper can select the least costly carrier in every lane.
Discover Sustainable Savings
Highlights cost improvements with "best fit" carrier, changes to carrier mix, and improved transit times.
Conclusion
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.
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