<bdo id="u9ldg"></bdo>
        <tbody id="u9ldg"></tbody>

        <bdo id="u9ldg"><optgroup id="u9ldg"></optgroup></bdo>
          <menuitem id="u9ldg"><dfn id="u9ldg"></dfn></menuitem>
          <track id="u9ldg"></track>
        1. <tbody id="u9ldg"><span id="u9ldg"></span></tbody>


          We followed a two-step process:

          • Impact analysis: The Tredence team put studied the inherent nature of sub-optimal ?eet transfers and understand its drivers. We were able to infer that 40% of the transfers occurred despite inventory availability, which was driven by anticipation of demand. However, about 35% of the transfers did not result in any rental in the short term, indicating inef?cient demand analysis.
          • Solution development: We put together a demand forecast solution – a hybrid time series model that helped forecast short-term demand.

          KEY BENEFITS

          • The forecast model was scalable to predict demand at different levels, reducing suboptimal ?eet transfers
          • It enabled optimized inventory planning for district manager, leading to better ?eet utilization


          The impact of the solution was two-fold

          • 35% reduction in sub-optimal transfers during the ?rst quarter of implementation
          • Reduced stock out days through better anticipation of future demand