<pre id="9ptpr"><b id="9ptpr"><var id="9ptpr"></var></b></pre>
        <pre id="9ptpr"></pre>

        <pre id="9ptpr"></pre>
        <pre id="9ptpr"></pre>

          <p id="9ptpr"><del id="9ptpr"></del></p>
          <ruby id="9ptpr"></ruby>

          <pre id="9ptpr"></pre>


          To address this, the team at Tredence developed an analytically robust approach with the following specifications:

          • Identification of feasible savings opportunities based on current process study, data availability, opportunity size, current IT infrastructure
          • Optimizing through four specific use cases –
            • Minimize overall cost at the level of an entire DDL, as opposed to finding the cheapest alternative at a shipment-level
            • Minimize by bundling the lanes together to aggregate the carrier capacities and allocate in an optimized manner
            • Optimizing pan US DC-drop point network by considering all possible DCs that can fulfill the requirement
            • Putting off sub-optimal shipment to the next day

          KEY BENEFITS

          • Solution integration with OTM through APIs – Extracting shipment-requirements and Returning optimal shipment-allocations
          • Tiered structure is followed for complete integration of new solution to the already existing IT infrastructure


          • Estimated savings of ~$20-22M over a period of 12-18 months across outbound shipments, stock transfer orders and inbound shipments