Devised a forecasting solution to reduce suboptimal fleet transfers for a leading equipment rental company


The rental business of the client involved frequent transfers of ?eets between branches to meet the demand. This, at times led to sub-optimal transfers. Such transfers were not cost-effective and reduced the overall margins. The client wanted to quantify the impact of sub-optimal transfers and instate a solution that could reduce such transfers.


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


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35% reduction in sub-optimal transfers during the ?rst quarter of implementation

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Reduced stock out days through better anticipation of future demand

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