Stage Intelligence Integrates the GBFS Open Data Standard into its BICO Bike Share Recommendation Engine
BICO uses Artificial Intelligence to enable bike share schemes around the globe to maximise their potential and deliver an optimal user experience.
LONDON, 21 August 2016 – Stage Intelligence, the leading provider of bike share scheme management solutions, has integrated the General Bikeshare Feed Specification (GBFS) open data standard into its BICO recommendation engine. The GBFS integration enables BICO to access real-time data feeds from all participating bike share schemes. Bike share schemes that use GBFS are able to rapidly deploy BICO and use Artificial Intelligence to optimise their bike share schemes.
BICO has been designed to simplify how bike share scheme operators manage and grow the bike share scheme using Artificial Intelligence. BICO takes into account an almost infinite number of factors and criteria in its decision making, enabling operators to leverage new levels of real-time intelligence.
“The GBFS integration accelerates access to real-time intelligence for participating bike share schemes. Bike share schemes that use BICO see more than a 15% reduction in operational cost while ensuring that bike share users always have access to the bike or dock they need,” said Toni Kendall-Troughton, CEO at Stage Intelligence. “We are the only provider of Artificial Intelligence-based solutions for bike share schemes with live deployments in major cities. The GBFS integration will support our growth around the world.”
The GBFS open data standard was adopted by the North American Bikeshare Association (NABSA) in November 2015. It makes real-time data feeds publicly available online in a uniform format so that map and transportation based apps can easily incorporate this data into their platforms.
“We are in a pivotal moment for bike share – one where technological advancements make bike share a more accessible form of transportation and easier to use than ever before.” said President of NABSA, Nicole Freedman. “The bike share industry has the opportunity to more seamlessly integrate into other forms of public transportation and trip-planning apps with the data GBFS offers.”
BICO uses real-time intelligence to understand and predict demand within a bike share scheme, while communicating where bicycles need to be redistributed to drivers via a mobile app. It removes the need for manual processes and decision making and enables operators to accurately predict demand across a coverage area. This means better service for customers, greater efficiency in operations, and the ability to scale and grow bike share schemes.
“Data drives innovation. The GBFS integration gives access to data around new scenarios and behavioural patterns within bike share schemes. That helps us to develop new solutions and gives our machine algorithms vital data for optimising bike share schemes in participating cities but also around the world,” said Francois McDonald, Solutions Director at Stage Intelligence.
About Stage Intelligence
Stage Intelligence specialises in developing Artificial Intelligence solutions for the transport and logistics industry. Its flagship solution, the BICO recommendation engine, delivers real-time intelligence for the management of bike share schemes. BICO enables precise and optimal decision making and has been purpose-built to remove the complexity from managing resources within a bike share scheme. Customers choose Stage Intelligence because our solutions increase their agility, adaptability and enable them to move beyond traditional manual processes. We collaborate with customers to solve complex problems and deliver solutions that have a lasting impact on their operations.