The AI platform aims to increase usability of schemes by ensuring that bikes and docking stations are available when and where they are needed
Latin American bike-share provider, Tembici, is deploying Stage Intelligence’s BICO artificial intelligence optimisation platform across a number of its schemes in the region. The platform will be used to automate and accelerate Tembici’s operations, creating efficiencies across their schemes as well as reducing their impact on the environment.
Increasing bike-share usability
The initial phase of the deployment will cover cities in Brazil including Rio de Janeiro, Sao Paulo, Recife, Salvador, Port Alegre and Vila Velha. In phase two, the BICO AI optimisation platform will be rolled out in Santiago, Chile, and Buenos Aires, Argentina.
Altogether, Tembici will use BICO to optimise rider experience and increase the usability of over 16,000 bikes. It is the largest bike-share company in Latin America and was looking for a way to ensure usability for riders while creating new cost-efficiencies.
Usability of a bike-share scheme hinges on the city’s ability to ensure that bikes and docking stations are available when and where they are needed most.
When riders are able to access bikes or docks, they are likely to make bike-share part of their daily routine. Reliability is an integral part of any mobility operation and ensuring access to bikes or docks enables both ridership and revenue growth in schemes.
“Tembici is passionate about the transformation in bike-share schemes and recognises the potential of AI to benefit both its operations and riders across Latin America. After a successful trial, we are extremely proud to be deploying in eight new cities and using our platform to support the growth of bike-share schemes across the continent,” said Tom Nutley, CEO at Stage Intelligence.
"A smarter approach to transport results in sustainable bike-share schemes but also healthy and happier riders and communities"
“Stage believes that a smarter approach to transport results in sustainable bike-share schemes but also healthy and happier riders and communities. We look forward to growing our partnership with Tembici across Latin America and enabling its success in new markets.”
Stage Intelligence has deployed its BICO AI optimisation platform in bike-share schemes in major cities including Paris, Helsinki, Chicago and Guadalajara, Mexico. It has had success in reducing the number of trucks needed to redistribute bikes and over the last 12 months has reduced CO2 emissions in its bike-share schemes by 10 metric tonnes.
Stage Intelligence has also seen the number of rides per bike per day increase by 5.5 in its top performing scheme. This means more people are using the scheme and using it consistently while operators benefit from increased return on investment per bike.
“The BICO AI optimisation platform delivers a benefit to our operations that enables us to keep providing an exceptional service to riders, and in the same time save costs. We have seen the power of the platform in our trials with Stage Intelligence and we believe BICO has tremendous potential for our schemes,” said Mauricio Villar, chief operating officer at Tembici.
“BICO has been proven to reduce the number of trucks required for redistribution which reduces CO2 emissions while also getting more people on bikes and enjoying cycling in our cities. It is a win-win for citizens and urban areas.”
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