Deployment optimisation



Dott is a scooter sharing start-up, offering dockless, electrical scooters and bikes as alternatives for short-distance travel. Dott has been active in various European cities since early 2019. Dott stands out by focussing on sustainability by design, repairing instead of replacing broken scooters, and a strong collaboration with municipalities and local mobility ecosystems.

Each morning, Dott’s deployment team re-distributes fully-charged scooters throughout the city of Paris using a heuristics-based approach to pick deployment locations. Dott asked BLOOM to help develop a data-driven, automated deployment optimisation service, such that scooters are distributed optimally and utilisation could be substantially increased.

Using an iterative approach, BLOOM developed a deployment optimisation algorithm, consisting of both optimisation and routing functionality. On a daily basis, the algorithm suggests deployment spots based on predicted demand and current scooter locations. For all selected spots, the routing algorithm calculates and schedules deployment routes, such that the immense city-center traffic jams are avoided and deployment times are cut to a minimum.

We’re impressed with what BLOOM has achieved. Their pragmatic data-driven approach led to a step function improvement to our deployment process—and functioned as a true catalyst for our data science teams.
– Ben Cohen, analytics manager at Dott

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