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

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.