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Stage Intelligence Data Reveals the Power of Artificial Intelligence to Increase Efficiency and Profitability in Micro-Mobility Schemes

The BICO AI Optimization platform moved 40,000 bikes per day in 2018 and delivered an average of 98% usability while reducing distribution hours by 20%

London, 18th June 2019 – Stage Intelligence, the leading Artificial Intelligence (AI) platform provider for Mobility and Logistics, has launched its BICO Performance Report 2019, showing the direct impact of AI on Micro-Mobility schemes across the globe. The report reveals that AI can be a driver for both enhanced user experience as well as increased operational efficiency. AI can solve operators challenges around revenue growth while also reducing costs.

The report uses captured from Stage’s BICO AI Optimization platform, which enables operators to visualise, automate and optimise their Micro-Mobility schemes. 

BICO is live across three continents, seven countries and 12 cities handling 40,000 bikes a day of which 15,000 are electric.

In 2018, BICO platform has reduced distribution hours and miles covered by distribution trucks by 20% leading to a 20-tonne reduction in carbon dioxide emissions. Schemes were able to deliver a 98% availability and increase rides per bike per day by two enabling them to maximise the potential of their scheme.

Schemes that have deployed BICO on average have seen:

  • 98% usability
  • 94.5% availability
  • 30% reduction of bikes moved
  • 20% reduction of redistribution trucks required
  • 25% reduction of rebalancing jobs

“Micro-Mobility schemes can be complex to manage, costly to operate and difficult to grow. That puts limits on the impact Micro-Mobility can have for citizens and cities. When an operator deploys an AI-based solution, they transform their operations and increase the health and sustainability of their schemes,” said Tom Nutley, CEO at Stage Intelligence. “Our data shows the impact that AI is having in the real world. It is solving the most pressing challenges operators face while making it easier for users to make micro-mobility part of their daily routine.”

BICO enables micro-mobility scheme operators to remove complexity from their operations and reduce costs and in the past 12 months the platform has improved KPI performance for operators by 8%. With historic visibility into scheme performance, BICO enables operators to increase ridership, reduce costs and automate operations allowing them to grow and add new capabilities.

“Operators need an intelligent foundation for delivering the next-generation of Micro-Mobility and offering new users experiences. The ones that will be successful will be armed with new intelligence, data visualisation, real-time decision-making, optimized resources and have the freedom to grow and innovate,” added Nutley.

Simplifying and Accelerating Micro-Mobility in 2019

In 2018, we took our business to a new level and put a foundation in place to continue our growth globally whilst utilising our technology to solve new challenges. It was also the most exciting and successful year Stage Intelligence has had to date. We executed our vision for AI-optimised mobility and our partners are seeing the results every day.

This year we met partners across the globe, had more productive conversations, and listened to a growing number of operators as they look to innovate their operations. At every event I attend, I’m reminded of how young, fresh and exciting the Micro-Mobility market is. Everyone is looking at ways to deliver for end users, improve and expand their operations across urban areas or with new modes of transport.

It really feels like 2018 was a landmark year for Micro-Mobility in terms of growth and recognition. The pace of change has been amazing, and the ups and downs throughout the year have shown how important it is to have simple and powerful solutions for managing an increasingly complex mobility landscape.

That’s where we are creating real long-term value for our partners no matter how their organisations evolve in the future. From start-up operators through to the largest Bike Share Schemes in the world, our platform is simplifying and accelerating how they operate.

I’m extremely proud of all that our team has achieved in 2018 and we saw what we are capable of. I know we can continue to build on our success and not only enable more partners to benefit from our platform, but also enable more users to experience the best Micro-Mobility service possible. I believe we can play a critical role in creating sustainable mobility options, businesses and urban environments and that is an exciting prospect in 2019 and beyond.

We’re Moving Fast

At the beginning of the year, our BICO AI optimisation platform was live in two Bike Share Schemes, and by December 2018 it had been deployed in 15 schemes across three continents. Our growth has been transformational for our business. We’re operating in a range of unique environments and have shown that we can scale to serve some of the world’s largest and most dynamic schemes. Smaller schemes that have adopted BICO have also seen the benefits of adopting AI within their schemes, making them more cost efficient enabling them to grow and scale efficiently. There really aren’t any limits on where we can deploy our platform and have positive impacts on operational performance.

In July, we announced our deployment in Helsinki with CityBike Finland OY from which it has grown to be our most successful scheme in terms of ridership. After deploying BICO, CityBike Finland saw ridership grow by five riders per bike per day. That means more citizens are using the available bikes and the scheme is growing its profitability, shown by another expansion planned for the coming season – It’s a win-win for the city, operator and the users.

In Latin America, we partnered with Tembici to deploy BICO in cities across Brazil including Rio de Janeiro, Sao Paulo, Recife, Salvador, Port Alegre and Vila Velha. Our phase two deployments include Santiago, Chile, and Buenos Aires, Argentina. This is a major leap forward for our presence in South America and a vote of confidence in our platform. Tembici believes in BICO and will utilise the platform to scale their operations across Latin America and beyond.

In Europe, we’re working with Smovengo and have deployed BICO across the Velib in Paris, France. We’re extremely proud to see BICO live in the largest Bike Share Scheme in the Western world, and increasing the usability of more than 21,000 bikes of which 7000 will be electric. It’s a major milestone for our business and really shows that no matter the size of scheme, season, vehicle type or weather, BICO can drive efficiencies for our partners.

Each of these BICO deployments shows the potential of our business to directly influence the future of Micro-Mobility globally, and enable the success and growth of more operators across the world. With every scheme we add we’re evolving, refining and improving our platform. Each scheme adds something new and drives our platforms features and functionalities forward.

Priorities in 2019

Since becoming CEO of Stage Intelligence in 2018, I’ve been focused on continually pushing our business forward and building on and adding to our successes. The biggest challenge in AI and Micro-Mobility is remaining focused on where we add value and not try to chase every opportunity. We have to stay aligned with our original purpose. We make solving complex challenges simple for our partners.

In 2019, we’re going to build on our core strengths and use all we’ve learned to expand into some new areas. I see 2019 as a year where we add some new dimensions to BICO and find some interesting ways to add value for our partners.

There are six areas that we are going to prioritise in the 2019:

  • Nurturing Our Core – We will continue to grow the number of Bike Share Schemes we’re deployed in and support more operators globally. There are more than 1,600 Bike Share Schemes globally and we know that we can help them to operate efficiently and deliver an optimised experience for users. I see huge potential in North America, and we’ll be making a big push in the market in 2019.
  • Adding New Capabilities – We’re expanding what our platform can do for our partners. We’re adding new support for managing broken bikes, electric bikes and optimised battery management. Operators need a more efficient way to deal with maintenance and we see an opportunity for BICO to help them solve these challenges.
  • Supporting Hybrid Models – We’re looking at ways to support Hybrid Bike Share models where docked and dockless systems are integrated. Depending on the exact model, bikes can be docked at physical docking stations, “virtual docking stations” or remain free-floating. It adds new complexity to scheme management but ultimately offers a flexible user experience. The challenge is to help operators manage their bikes and ensure they are available when and where they’re needed.
  • Deliver Micro-Mobility Through a Single Pane – As the number of modes of transport grow across a city, we’re developing ways to visualise the entire Micro-Mobility landscape in an urban area. Operators want to see and understand their entire operating environment through a simple, optimised dashboard. They want to gain insights from data and make faster decisions. Micro-Mobility will only grow in complexity and we’re finding ways to make it simpler to manage.
  • Growing Our Team – In 2019, we’re going to continue to grow our team and bring on board new skills and talent. We added Alex Churchill to the team at the end of 2018 to expand our AI expertise, and he brings new perspective and insights to our operation. Our AI platform is delivering amazing results and we want to continue to refine and optimise it. The tech team will grow as well as we expand our platform, while sales and marketing will also see new additions.
  • Continued Execution for Partners – The most important thing is that we continue to execute for partners and deliver the results we’re capable of. The numbers show precisely the kind of impact we can have on a scheme within months. Each scheme we work with sees cost-savings and new growth in their ridership. It is that simple. We just need to keep delivering for partners.

This Time Next Year

This time next year I think the Micro-Mobility market will have had another year of huge growth and disruption. Personally, we will have double digit growth in the number of schemes we’re deployed in and our platform will support more diverse needs of our partners.

There will be more modes of transport deployed in cities across the globe and the need for a simpler, faster and easier way to manage schemes will only grow. We’re going to work closely with partners to collaborate and co-create features or solutions that solve their challenges. If we keep listening to their needs, the potential in our business is limitless.

Part of this is about getting out in the market and to even more events. We’re going to be sharing our ideas, data and results. I want to evangelise AI in Micro-Mobility and share our partners’ success stories. I see an opportunity for us to offer consultancy to new partners and really act as a trusted advisor for new schemes that are launching, or existing schemes that want to go to a new level.

There has never been a more exciting time in our business and our industry and I’m looking forward to a huge 2019.

Delivering New Visibility to Bike Share Operations with Spin-off Environments

Management of Bike Share Schemes often come second to operators that are looking to expand to new markets globally. Today, operators can gain new visibility into their existing Bike Share operations by testing in a spin-off environment.

 

A spin-off environment simulates an operator’s current redistribution and management processes in a particular market to find new operational efficiencies. It looks at variables such as the number of trucks in use, capacity of these vehicles, staff shift patterns and other factors to assess if resources can be better utilised.

 

When Bike Share operators have visibility into how their schemes are run they can make quick decisions that can help reduce cost, win riders and grow in local and global markets.

 

Platforms that offer spin-off environments on-demand give Bike Share operators a huge advantage in the local market. With redistribution accounting for over 30% of the total operational costs, spin-off environments enable operators to reduce internal resources and optimise rebalancing to maximise their bottom lines.

 

In an increasingly multi-vendor state, where more than one Bike Share operator compete in the local market, the winners are the ones that are efficiently testing operations and managing resources. It gives them significant cost savings compared to its competitors, build strong ridership through better rebalancing and grow.

 

Operators can see the impact of managing resources with a spin-off environment. They are not unnecessarily spending huge amounts of money and time adding new resources. They gain real insights into management and can build a strong redistribution strategy.

 

Bike Share operators around the world now have the opportunity to test their management processes in spin-off environments. They have the ability to better optimise and manage their schemes day-to-day.

 

From the partners we’ve worked with they have seen real value in the testing in a spin-off environment. They were able to turn up their operations locally with very minimal increases in internal resources. That’s a big win for us. Our goal is to help operators reduce cost through better management of their existing resources.

 

We are able to work closely with operators and leverage our platform’s capabilities to spin-off environments on-demand. They see new opportunities in their operations that can help them compete more efficiently in the local market. They see results almost instantly, reducing the risk of managing a Bike Share Scheme.

 

If you are interested in finding out how our BICO platform is able to spin-off environment on-demand and deliver actionable insights into new markets, please contact us: tom.nutley(@)stageintelligence.co.uk.

Delivering On-demand Team Management to Bike Share Operators

Bike Share operators around the world are looking for easier and better ways to manage its operations and operational staff. They need solutions that can make internal team management simple and reliable.

Today, Bike Share operators are struggling with outdated team creation and management processes that restrict how they carry out their day-to-day tasks. They are burdened with manual inputting, time implications and constant miscommunications internally.

When your operational staff are not working together efficiently, your whole scheme could be at risk. Your redistribution and internal operations are not optimised and that could have a negative impact for your riders.

It’s why team management has been a big priority for us. Operators are looking for easier ways for its distribution teams to work together, communicate and collaborate. In BICO version 15.1.0, we made it simple to create and manage multiple teams.

Operational staff can now set up teams in real-time without the need to do so in advance. They are free to start their day and update the app as they pick up new job requests. It saves valuable time and effort for staff and enables them to operate more efficiently when redistributing the bikes.

Bike Share operators really benefit from a dynamic management platform that can keep up with the changing industry. You’ll see better optimised internal processes that enable your teams to work together to better serve the market. That gives riders complete confidence in your scheme.

Riders can trust that your bikes and resources are available when and where they need them. They can rely on your scheme to get to their end location each and every time. That builds strong ridership and helps you grow locally and around the globe.

In BICO v15.1.0, we’ve worked closely with our partners to add new features including:

 

  • Simple Team Creation

Our BICO Android application lets users create teams with the app by selecting a User Name, Shift, Break Time, Vehicle, Depot and Team Name, which can be easily edited.

 

  • User Verification

The latest BICO update includes a simple user verification process that can be set up by entering the username and password. This is an optional feature and can be turned on or off.

 

  • Usability & Stability Improvements

BICO 15.1.0 also comes with a range of usability improvements, general bug fixes and stability improvements.

 

At Stage Intelligence, we’re continually updating our app to deliver a simpler, faster and better way to manage a Bike Share Scheme. We’re improving the usability, stability and performance of the app while adding new features to give partners around the globe a reliable Artificial Intelligence (AI) platform.

 

If you’d like to find out more about the latest BICO update and how that impacts Bike Share operators around the globe, please get in touch: tom.nutley(@)stageintelligence.co.uk

Bike Share: The Foundation for Mobility as a Service

Bike Share Schemes can be the foundation for developing Mobility as a Service (MaaS) in an urban city. It has a proven model that supports the deployment of MaaS across many different areas.

 

MaaS integrates various forms of transport services into a single mobility solution. It combines a range of services from trains and buses to taxis and bike sharing to offer a tailor-made transport solution that connects you door-to-door.

 

Bike Share Schemes make it easier to facilitate the move towards MaaS. MaaS operators can take advantage of its large user base and learn from its management approach to drive efficiency beyond Bike Share.

 

We believe a well-run Bike Share Scheme is the foundation for MaaS models. It supports the move away from personally owned vehicles to modes of transportation that are just as effective and cost-efficient whilst better connecting existing transportation.

 

Research by DTimes and ofo has found that shared bikes have the ability to seamlessly interlink existing transport infrastructure. Bike Share Schemes make it easy for users to access other transport links as well get to their final destination.

 

When residents can rely on transportation services to fully connect them to where they need to go, they are likely to use the services again and on a regular basis. That can facilitate the move towards MaaS initiatives in the future.

 

We are seeing the growth of MaaS apps such as Whim in Helsinki that could soon be the norm for modern transport around the world. It provides the convenience of private vehicle travel without the need of ownership particularly when on average cars are parked for over 95% of the time.

 

For cities looking to adopt MaaS models and transform the culture of personal vehicles, simplifying and optimising Bike Share Schemes should be the first step. It makes the financial and convenience case for using public and private means of transport over own personal vehicles.

 

With MaaS, operators and city officials gain complete visibility across a cityscape. It provides a clear picture of its users and their transportation needs. Visibility can be matched with technology such as AI to optimise all journeys in the urban city.

 

At Stage Intelligence, we are leaders in Bike Share Scheme management and hold a track record of simplifying operations around the world using our AI technology. We combine data and AI to deliver actionable insights that makes the management of Bike Share simple and efficient for operators.

 

To find out more about how Stage Intelligence can optimise your Bike Share Schemes with its AI platform, please contact tom.nutley(@)stageintelligence.co.uk

E-bike Sharing

Delivering New Growth for Bike Share Schemes with E-Bikes

Electric bikes (e-bikes) have huge potential for Bike Share Schemes but it brings a new level of management challenges for operators. Over its manual counterpart, e-bikes need to be fully charged for each rider, every time and that requires efficient distribution.

 

E-bike is a pedal bicycle with an electric motor. It assists the rider with additional electric power whilst offering many of the same characteristics as traditional bicycles. Many e-bikes are legally classified as bicycles and subject to the same local laws.

 

E-bikes can be a great way to travel. It can reduce door-to-door time of commutes with a lot less effort and makes transport more accessible to the new or less-experienced cyclists. For operators, it delivers new opportunities to compete in the industry and win new riders.

 

In the recent CES 2018 event, we saw many operators reveal their plans to incorporate e-bikes. Limebike, Spin, Ford GoBikes and Social Bikes all announced the introduction of e-bikes within their operations. It marks the shift in the industry that caters to the end users and their Bike Sharing experience.

 

E-bikes are a convenient way to get from A to B but it is faced with challenges in the market that limit its growth. The perception of e-bikes as ‘cheating’, the added weight of the battery pack to cycles and the cost of purchasing and repairing one all affect e-bike adoption with the public.

 

Manual pedal bikes are also much cheaper and easier to purchase, build and maintain for operators. It makes it simple for operators to grow fast and grow far. It’s one of the reasons why we are seeing thousands of pedal bikes being launched globally and at such a rapid pace.

 

For operators, the key is to deliver a service that people will want to use regularly and e-bikes offer a solution that removes the limit on how and when riders can use the schemes.

 

One major concern I see is in how operators manage their e-bike schemes. The demand for e-bikes is likely to be higher than the current pedal Bike Sharing schemes. It will put pressure on operators to deliver each and every time.

 

E-bikes will also need to be charged at the end of the trip and ready to be used by the next rider. That requires seamless management of resources and expert understanding of the local market.

 

Bike Share operators will need to have a strong management process in place to not only handle the challenges of e-bike sharing but to also take full advantage of the many opportunities it looks to bring for operators. Operators will be required to match local demand with efficient redistribution to succeed in the market.

 

At Stage Intelligence, we are using our expertise in Bike Share management to address the challenges of e-bike sharing. We are incorporating new e-bike technology within the artificial intelligence platform. Our processes enable us to add new features and functionality to cater to the dynamic Bike Share market.

 

To find out more about how Stage Intelligence can support and simplify your Bike Share Scheme operations, please contact tom.nutley(@)stageintelligence.co.uk

Five Bike Share Trends to Watch in 2018

When I talk to people at events, I see how business models have changed over the last year. Bike Share operators are constantly challenged to keep up with the rapidly changing industry and offer better rider experiences to its users.

 

A big opportunity for operators in 2018 is in how Bike Share Schemes are managed. It will not be enough to just supply the bikes, questions will be asked about how operators cater to the local market needs.

 

Intelligent operations will be at the heart of Bike Share Schemes in 2018 with operators focused on delivering the best experience to compete in the highly saturated market.

 

As Bike Share continues to grow across the globe, I see the following trends changing the marketplace:

 

  1. Rise in App-Based & Dockless Bike Share Models

App-based Bike Share Schemes are being deployed in more markets globally. In many urban cities, you now have access to free-floating bikes that can be picked up and dropped off virtually anywhere. In 2018, we will see an increase in cities adopting these schemes in an effort to reduce the strain on existing transport infrastructure and facilitate the move from personal vehicles.

 

  1. Growth of Multi-Operator Environments

Multi-operator environments are not new. We are already seeing many cities where more than one operator is running a scheme. Throughout 2018, this is likely to grow to more cities around the world and operators will be asked to deliver an optimised Bike Share Scheme to keep up with the competition. Cities will also need assuring that resources will be better managed to avoid bikes being damaged or left in unsuitable places.

 

  1. Optimised Redistribution with New Technology & Incentives

The growth in Bike Share Schemes and multi-operator environments will be the driving force for better redistribution. Operators will be challenged to offer schemes that work well and is not a nuisance to cities or its citizens. Fortunately, new technology such as geo-fencing and incentives including financial rewards will drive better rebalancing processes. From the events I’ve been to, it’s clear that operators are looking to do more to improve their redistribution efforts.

 

  1. Increased Bike Share Regulations

Bike Share operators have welcomed the prospect of more regulations. While some may hinder current operations, most regulations will help Bike Share Schemes to thrive. It will guide operators as to what is required and enable them to grow into new markets much easier.

 

  1. Driving Intelligent Bike Share Scheme Operations

In 2018, operators will look towards better ways to manage their schemes and to grow their ridership. We see growth in technology such as Artificial Intelligence (AI) simplifying the management process. It enables operators to sort through vast amounts of data to gain actionable insights that has a direct impact on their operation. That kind of information makes management of Bike Share Schemes simple and efficient.

 

In 2018, we will continue to see disruption in all parts of Bike Share and the wider transportation industry. It will impact how operators do business. How these schemes are managed will still be the main focus for many cities and its citizens.

 

Users expect transportation to be as simple and efficient as the other services they consume on a day-to-day basis. That puts the pressure on operators to deliver a well-run Bike Share Scheme.

 

An optimised scheme enables users to rely on its services and use it regularly. It reduces unnecessary costs and complications for operators while driving profits to their business.

 

Fortunately, I see new technology, incentives and processes enabling operators to transform their current business model.

 

At Stage Intelligence, we combine citywide data with AI technology to deliver real value to Bike Share Scheme operators. Our BICO platform makes it easy for operators to simplify their operations and deliver Bike Share Schemes that works for both cities and the users.

 

To find out more about how Stage Intelligence is transforming Bike Share Schemes around the world with AI technology, please contact  tom.nutley@stageintelligence.co.uk

 

2018: A Tipping Point for Artificial Intelligence in Transportation

2018 will be the tipping point for Artificial Intelligence (AI) in the transportation industry. It will be a year where AI becomes an essential tool with new understanding and recognition that it is critical to success. In our business and beyond, we’ve seen how influential this technology can be in changing business models and creating better transport solutions.

 

At Stage Intelligence, we’re seeing this become a reality. In 2017, we’ve seen tremendous momentum behind our business and growing demand for real AI solutions in transportation. We’re rolling out our AI-based Bike Share management solution in cities across the globe and changing the perception that Bike Share isn’t a viable, reliable transport option.

 

We are helping to accelerate transformation in transportation and utilising self-organising algorithms and elements of machine learning to simplify and empower Bike Share management.

 

2018: Challenges in AI

The future of transportation will be defined by AI. Research firm Gartner predicts that by 2020 almost every new software product will have AI technologies. In transportation, we are starting to see widespread application and development of AI technology that is being powered by the collection of data and use of algorithms.

 

That said, it is still a very young market with challenges ahead. I see three big challenges for AI in transportation:

 

  1. Not All “AI” is the Same – Many businesses that say they use AI don’t actually have it deployed. It is a buzzword and many businesses are doing data visualisations or pretty interfaces but when you look under the hood there’s nothing there. Operators eager to benefit from AI don’t get what they paid for and won’t see the best of it.

 

  1. Transportation Expertise and Focus – AI solutions need to address specific challenges. They need to be purpose built for transportation and developed by both experts in transportation and AI. Otherwise, you get generic solutions that solve generic problems rather than enabling real innovation and agility in transportation.

 

  1. Nurturing AI – AI isn’t just about building solutions. It is about training it and nurturing it to deliver the results you want. It requires people, time, effort and a lot of data to continuously maintain and develop the technology. You don’t just flip a switch. It requires an expert experienced in developing and growing successful solutions.

 

As we see more AI-based solutions adopted, there will be a move towards quality and performance. Solutions that are based more on buzzwords than results will fade away.

 

In 2018, more people will understand the basics of AI and make better decisions about the solutions they deploy. That’s good for transportation and will accelerate its growth.

 

Building Better Bike Share Schemes

We’ve seen tremendous growth in our business over the past year. In 2017, we deployed our solutions in new corners of the world.

 

Our business development team led by Tom Nutley was out and about at events and meetings almost on a monthly basis. We’ve been successful in sharing our belief in automated rebalancing and using self-organising algorithms to build better Bike Share Schemes and that has led to trials and deployments around the world.

 

Our flagship BICO Bike Share Scheme management platform has been adopted and is supporting ridership growth in unique markets in the Americas and Europe. In 2017, We added greater functionality to BICO including a successful internationalisation process that helped us to better serve our partners abroad and dynamic replenishment values for greater predictive management of a scheme. Both have made it easier for operators to deploy and benefit from our solution.

 

We are also proud to have partnered with industry bodies to accelerate transformation in Bike Share Schemes. We are a member of the platform for European Bicycle Sharing & Systems (PEBSS), created by European Cyclist’s Federation (ECF). Our work with ECF and PEBSS highlights our commitment to growing a healthier cycling market for all.

 

In November, our usability data was shared around the world and is influencing conversation about how to create Bike Share Schemes that give riders an optimised experience. We are sharing our data and analytics to show what is possible in Bike Share when you take a new approach.

 

This Time Next Year

Throughout 2018, we will develop our AI technology for the shared mobility market, innovate for Bike Share operators and continue to roll our solutions around the world. It is an exciting time for our industry and we are ready to help our partners benefit from our solution and encourage the continued growth of Bike Share.

 

As cities around the globe continue to push towards cleaner and more sustainable transportation, we will see increased demand for user-friendly Biker Share. How cities and operators manage their schemes and support riders will define their success.

 

The tipping point in Bike Share will be seen when automated rebalancing becomes a critical part of any Bike Share operator’s conversations about growth. AI will at least be considered when discussing a path forward for schemes looking to grow. That’s a big step forward in an industry that is constantly changing.

 

There are a few things that I believe will define the Bike Share in 2018:

 

  • Growing Bike Share Schemes

As more Bike Shares use AI-based management solutions, riders will get a better experience and schemes will grow. It will enable faster decision making for bike distribution, ensuring that riders get bikes and docks where and when they need them. That drives growth and creates new efficiencies.

 

  • Move Towards Electric

We will see a greater push in electric cars, bikes and scooters in an effort to reduce emissions and drive down costs. We will see more Bike Share offering e-bikes and even further introduction of e-scooter sharing in cities around the world. With greater range and a larger, more diverse user base, schemes will need better management solutions to drive efficiency.

 

  • Mobility as a Service

We will see mobile phones play a greater role in traditional transportation. Mobility as Service (MaaS) showed its potential in 2017 and now MaaS will begin being rolled out in cities around the globe. It will streamline how we travel and deliver even more data about how we commute.

 

  • The End of the Free-For-All in Free Floating

The free-for-all in Free Floating Bike Share has to come to an end. Healthy markets do not tolerate massive oversupply and as we’ve seen in some cities in China it leads to failing schemes. Free Floating Bike Share Schemes need to be managed and follow policies set out by local governments to be successful. In 2018, we hope to see less mistakes made and a lesson to be learned.

 

All of these things will drive demand for AI-based solutions and the evolution of Bike Share Scheme management. Bike Share operations should be simpler to manage with better experiences for riders. In 2018, we will solve some of the challenges in transportation and deliver solutions that benefit cities, citizens and the environment. I see tremendous potential in our business and our industry. 2018 will be a phenomenal year for AI in transportation.

 

Increasing Rider Satisfaction with Artificial Intelligence

Big data and Artificial Intelligence (AI) provide a valuable opportunity for growth to Bike Share Schemes that have been deployed and developed across the six continents. Both schemes that are in the planning stages and ones that have already been deployed can benefit from leveraging big data and AI

Operators looking to drive growth to their schemes need AI to sort through vast amounts of data. If you combine millions of different criteria across a large urban area, the sheer number of possibilities can be overwhelming.

Every element matters and can influence where bikes are dropped and congestion occurs. In the worst-case scenarios, a rider borrows a bike but can’t find a dock and must travel away from their destination to drop it off and when they return there are no bikes remaining.

Data and AI is key to avoiding this situation. It ensures rider satisfaction by predicting demand in popular areas and managing supply. Only with data and AI technology can Bike Share Schemes look to improve existing processes, operations and logistics, and drive growth to their operations.

Going forward, data needs to be more accessible to operators. Open data allows Bike Share Scheme operators to deliver a transport solution that works for all. Data ensures bikes are available when and where it’s needed to support the growth of Bike Share Scheme deployments around the world.

Regulations such as the General Data Protection Regulation (GDPR) will still be paramount in the push for the openness of data. Cities, operators and all others involved have a duty to follow secure practices and take necessary steps in protecting user information.

Data and AI are ready to help operators to adapt and grow their schemes while refining and simplifying how they manage distribution.

For operators, getting started is simple:

  1. Evaluate long and short-term goals and growth objectives
  2. Explore what AI-based management platforms are available
  3. Look at what open data, shared data and Smart City initiative have been launched or are being developed locally
  4. Collaborate with AI experts and begin the journey towards smarter and more efficient Bike Share Schemes

To find out more about how operators can grow their Bike Share Schemes, read our full whitepaper on ‘How to Grow a Smart City Bike Share Scheme’.

Artificial Intelligence for Modern Transport Operators

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’.