With an AI-based management platform, transport operators benefit from utilising a variety of data sources. For Bike Share Schemes, the platform can give insights as to where bikes are required and instantly inform distribution trucks about where bikes need to be picked up and dropped off.

When information is being processed instantly and communicated to drivers, there is no lag between new demand emerging and that demand being served.

The value of AI is its ability to process vasts amount of data across a Smart City and make it useful for operators. Citizens get the resources they need and that supports the long-term sustainable growth of public transport.

As a form of modern transport, AI platforms simplify the management of Bike Share Schemes and deliver unique benefits to operators:

User satisfaction: Increased user satisfaction by ensuring bikes and docking points are available when and where required

Cost reductions: Improved operational efficiency and reduced requirement of operational resources

Remove unnecessary processes: Move away from traditional schedule or dispatch-based approaches and eliminate wasted journeys

New visibility: Real-time truck locations, colour coded station status and station clustering as well as access to advanced analytics and actionable reports via a single dashboard

Increased autonomy: Drivers receive direct communications often via a mobile app, allowing them to work independently of each other and the back office with less wasted time

Greater control: Autonomous operation of a Bike Share Scheme that reflects real time conditions, offers consistent delivery instruction and a detailed overview of the scheme

Scenario simulation: The simulation engine in such management platforms offers the ability to see responses to “what if” scenarios, allowing improved and more efficient resource planning

Scale up: Increase the size of a Bike Share Scheme without the need to simultaneously increase available resource to maintain operation levels.

The demand for public transport is growing with more citizens turning to Bike Share Schemes as a viable mode of transport. In a growing and competitive Bike Share market, AI could be the key to success for many operators. It has already proven its value to some of the largest schemes in the world and will continue to be at the heart of modern transportation in the future.

To find out more about the advantages of utilising AI in transportation read our full whitepaper on How to Grow a Smart City Bike Share Scheme.

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