The international mobility consortium behind the programme will use Stage’s Bico AI optimisation platform to reduce costs, bring efficiencies and provide a better experience
Stage Intelligence, an artificial intelligence (AI) platform provider for mobility and logistics, has partnered with Smovengo to help optimise Paris’ bike-share scheme.
The partnership enables Smovengo to use AI to increase the usability of more than 21,000 bikes of which 7,000 will be electric across the French capital.
Smovengo is a consortium made up of four international mobility experts, Smoove, Moventia, Mobivia and Park Indigo. It is in charge of operating Paris Metropole’s bike-sharing system, Vélib’. The Vélib’ Métropole service aims to further the development of new forms of travel across the Île-de-France region that operate alongside existing transport options.
Smovengo will deploy Stage’s Bico AI optimisation platform to collect and visualise data, automate processes and optimise working environments. It is anticipated this will result in new efficiencies, cost reduction and a better bike-share experience.
Riders will be able to access bikes where and when they want them and find free docks at the end of their journey. Bico enables operators to offer a consistent experience that encourages more riders to use bikes as part of their day-to-day lives.
“Our partnership with Smovengo is a milestone in our business and we’re proud to be serving the largest bike-share scheme in the Western World,” said Tom Nutley, CEO at Stage Intelligence.
“It demonstrates Bico’s scalability, resiliency and ability to simplify a complex and dynamic scheme. This partnership shows that we can execute at the highest level.”
“We have seen rides of six to 10 per bike per day on our mechanical and e-bike. That benefits our organisation but more importantly it makes Paris a healthier and more sustainable city”
As part of the partnership, Stage Intelligence said it is expanding Bico’s features to include the management of e-bikes and hybrid bikes while also adding broken bike and user availability applications.
“We have already seen rides of six to 10 per bike per day on our mechanical and e-bike respectively. That benefits our organisation but more importantly it makes Paris a healthier and more sustainable city,” added Pierre Heyraud, COO at Smovengo.
“We selected Bico because it unlocks the potential of data in our scheme and enables us to move faster to serve the needs of riders. It is an essential tool for optimising and growing a bike-share scheme.”
“There is tremendous momentum behind our platform and a growing number of organisations are seeing how AI can impact how they operate,” continued Nutley.
“Our platform is focused on simplifying and accelerating their operations and they see immediate results. That’s powerful for any organisation focused on mobility and logistics.”
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