Tembici, Latin America’s leading bike share provider, has partnered with mobility AI leader Stage Intelligence to deploy AI optimisation across bike shares in Argentina, Brazil and Chile.
The bike share schemes run by Tembici will adopt Stage Intelligence’s pioneering BICO AI platform, allowing the company to automate its processes, boost rider experience and reduce emissions. Deployment will begin in Brazilian cities including Port Alegre, Recife, Rio de Janeiro, Salvador, Sao Paulo and Vila Velha; with the second phase expanding later into Buenos Aires, Argentina and Santiago, Chile. More than 16,000 bikes will be included in the scheme.
Tom Nutley, CEO at Stage Intelligence, said: “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. Stage believe 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 successfully launched the BICO AI platform in a number of other major cities, including Chicago, USA; Paris, France; and Helsinki, Finland. Over the last 12 months urban bike share programmes augmented with Stage Intelligence technologies have seen their CO2 emissions reduced by 10 metric tonnes; while daily rides have increased by up to 5.5 per bike.
Mauricio Villar, COO at Tembici, said: “The BICO AI optimization 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. 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.”