Network Optimisation Using Advanced Analytics
National Equipment Hire Company
Optimised
National Footprint
The Challenge
A national equipment hire company needed to optimise its store and depot footprint. Decisions about locations, closures, and capital investment were being made without rigorous analytical support, leading to suboptimal capital allocation and network overlap.
Our Approach
Used advanced analytics and computational models (in partnership with Wolfram) to analyse customer demographics, market coverage, competitive positioning, and financial performance across the entire network. Identified opportunities for consolidation, strategic expansion, and capital reallocation.
The Outcome
Data-driven store footprint optimisation delivered measurable improvement in network efficiency. Capital reallocation plan adopted by the executive team, with several underperforming locations consolidated and high-potential sites identified for investment.
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