From Challenge to Opportunity: Elerent’s Transformation
In the shared mobility sector, even small inefficiencies can generate significant costs and slow down growth. Elerent, one of the leading Italian operators of electric rental vehicles—active in dozens of cities and managing thousands of vehicles—decided to evolve its operating model to become more agile and competitive.
To tackle these challenges, Elerent chose SWITCH’s Urban CoPilot: an artificial intelligence platform that improves shared fleet management, featuring a highly reliable demand forecasting engine and a proprietary algorithm capable of reducing operating costs. The benefit? Understanding where vehicles are needed and optimizing operational tasks (battery swap, pick up, drop off). A true game changer!
This case study is designed for shared mobility operators seeking a competitive advantage through data-driven operations. See how a leading Italian operator upgraded its fleet and achieved significant performance improvements.
What you will learn inside
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How Elerent transformed its fleet operations using AI-driven monitoring, forecasting, and automation
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How Urban CoPilot improved task assignment, energy management, and in-field responsiveness
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How predictive algorithms helped position vehicles in the right areas at the right time
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The measurable results: up to 25 percent efficiency gains, fewer uncovered zones, and improved productivity
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Real feedback from operators using the system daily
Download the full case study
