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.

Stage Intelligence Data Shows the Direct Impact AI Has on Growth and Sustainability in Bike Share Schemes

The BICO Artificial Intelligence optimization platform is enabling schemes across the globe to reduce CO2 emissions while increasing scheme ridership.

LONDON, 24 October 2018 – Stage Intelligence, the leading Artificial Intelligence (AI) platform provider for Mobility and Logistics, has released data showing how AI directly impacts Bike Share Scheme growth, efficiency and sustainability. Across Bike Share Schemes in Divvy Bikes (Chicago), City Bikes (Helsinki) and MIBICI (Guadalajara, Mexico), AI has been able to deliver positive outcomes for riders, scheme operators and the cities themselves.

One of the largest and most costly challenges in Bike Share Schemes is the redistribution of bikes across a city. The BICO AI optimization platform enables Bike Share Schemes to ensure bikes are available where they are needed, and docks are free when a rider ends their journey. A rider experience optimized with BICO’s AI drives repeat and regular use of the Bike Share Scheme resulting in increased riders and the reduction of redistribution trucks and staffing resources.

Ridership Growth Since Deploying Stage Intelligence’s BICO AI Platform:

 

  • Divvy Bikes, Chicago: Ridership increased by 0.75 Rides Per Day
  • MIBICI, Guadalajara: Ridership increased by5 Rides Per Day
  • City Bikes, Helsinki: Ridership increased by5 Rides Per Day

 

“When you see ridership growth increase, it means more riders are enjoying a reliable scheme and making it part of their daily routine while operators are increasing profitability. Each ride per day adds to a scheme’s bottom line and enables it to grow and scale effectively/efficiently,” said Tom Nutley, CEO at Stage Intelligence. “We are seeing AI create more liveable cities with sustainable transportation solutions, reducing traffic and improving air quality. That will have a lasting impact on how we experience urban environments.”

Over the last 12 months, the BICO AI optimization platform was able to reduce the number of miles driven by redistribution trucks by 10,000 miles with 100,000 less bikes being moved. With less redistribution trucks on the road, CO2 emissions caused by redistribution trucks were reduced by 10 metric tonnes, enabling schemes to reduce their carbon footprint while offering green transportation options moving one step closer to carbon neutral operations.

Divvy Bikes in Chicago is one example, they have seen a reduction of 4,000 hours of redistribution time which equates to 2.2 drivers per annum. This means there are less trucks on the road, new efficiencies in operations and an increase in ridership year on year. BICO enables them to optimize its resource management and ensure it is giving riders the best possible experience.

The BICO AI optimization platform enables users to collect, manage and visualise vast amounts of data and turn this data into actionable insights to drive growth within businesses. It enables users to automate processes to increase agility and adaptability whilst moving away from traditional reactive manual processes.

“The number of trips per bike has increased significantly in recent years, however we are continuing to work with the same resources as two years ago with the Government providing re-balancing vehicles for the scheme. Currently, during the week we register more than 12,000 trips per day, that is, about 6 trips per bicycle per day. This means that MIBICI represents an efficient transportation alternative for people and has had a very high level of acceptance,” said Mario Delgado, director of BKT bici pública Operator of MIBICI, a project from ‘Gobierno del Estado de Jalisco, Mexico’.

“In this context, the BICO platform has been an invaluable tool for the operation of the system, we have obtained greater performance of the vehicles and has been adapted to our additional strategies for the rebalancing,” Delgado added.

 

About Stage Intelligence 

Stage Intelligence specialises in developing Artificial Intelligence solutions for the transport and logistics industry. Its flagship solution, the BICO AI optimization platform, delivers real-time intelligence for the management of Bike Share Schemes and other forms of mobility.

BICO enables precise and optimal decision making and has been purpose-built to remove the complexity from managing resources within a Bike Share Scheme. Partners choose Stage Intelligence because its solutions increase their agility, adaptability and enables them to move beyond traditional manual processes.

Since its inception in 2011, Stage has collaborated with leading Bike Share operators from around the world to solve complex problems and deliver solutions that have a lasting impact on their operations.

www.stageintelligence.co.uk

 

 

Stage Intelligence Appoints Tom Nutley as CEO to Drive Its Next Phase of Growth

The appointment comes as Stage Intelligence ramps up its development of new transportation solutions based on its BICO Artificial Intelligence platform

 

LONDON, 03 October 2018 – Stage Intelligence, the leading Artificial Intelligence (AI) platform provider for Mobility and Logistics, has appointed Tom Nutley to the role of Chief Executive Officer (CEO). The appointment marks the next phase of growth for Stage Intelligence as it uses its BICO Artificial Intelligence platform to solve an increasing number of challenges in Mobility and Logistics.

 

Nutley has a track record of success in business development and nurturing Bike Share Scheme customers across the globe. He has spent the last two years expanding Stage Intelligence’s presence in the Americas and Europe while enabling millions of riders to benefit from optimal Bike Share Scheme experiences. Nutley assumes the day-to-day leadership of the company and succeeds Toni Kendall-Troughton, who will maintain her role on the board of Stage Intelligence.

 

“It is a tremendous honour to serve as CEO for Stage Intelligence. I’ve seen so much accomplished over the last two years and I believe our BICO AI platform can do even more to optimise how people experience transportation and their urban environments. We’re already seeing more people using Bike Share Schemes globally thanks to our platform and as we deploy in new cities we’re helping schemes to expand and grow,” said Tom Nutley, CEO at Stage Intelligence. “I’m excited for our future and look forward to pushing our platform to new places and solving our customers’ challenges”.

 

Stage Intelligence has deployed its BICO AI platform in Bike Share Schemes in major cities like Paris, Helsinki, Chicago and Guadalajara, Mexico. It has success in creating new efficiencies in Bike Share Scheme management and enabling the optimised distribution of bikes across a scheme. The result is cost-savings for the scheme operators, growth in ridership and an enhanced rider experience.

 

“Tom is passionate about our business and is dedicated to our mission of solving some of the biggest challenges in Transportation and Logistics with AI. Over the last two years, he has been on the road telling our story and helping our customers to understand how AI can transform how they operate,” said Toni Kendall-Troughton, Board Member at Stage Intelligence. “Going forward, I see Tom driving our growth in new areas that can benefit from AI like dockless bikes, electric scooter schemes as well as taxis and other forms of transportation. It is an exciting time at Stage Intelligence and Tom is a great pick to lead the business into the future.”

 

The BICO AI platform enables users to collect, manage and visualise vast amounts of data and turn this data into actionable insights to drive growth within businesses. It enables users to automate processes to increase agility and adaptability whilst moving away from traditional reactive manual processes. Over the coming months, Stage Intelligence will be announcing new products and services that use the BICO AI platform to support the growth of a range of transportation types. It also has schemes coming online across North and South America in the coming months.

 

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. Partners choose Stage Intelligence because its solutions increase their agility, adaptability and enable them to move beyond traditional manual processes.

Since its inception in 2011, Stage has collaborated with leading Bike Share operators from around the world to solve complex problems and deliver solutions that have a lasting impact on their operations.

www.stageintelligence.co.uk

Helsinki AI

Stage Intelligence Deploys Its Artificial Intelligence Platform in Helsinki to Support Bike Share Scheme Growth

Moventia and CityBike Finland OY go live with Artificial Intelligence technology that is simplifying and optimising Helsinki’s Bike Share Scheme.

 

LONDON, 10 July 2018 – Stage Intelligence, the leading provider of Bike Share Scheme management solutions, has partnered with Moventia, a widely recognised urban transport operator, and CityBike Finland OY, the Bike Share operator for Helsinki, to deploy its BICO Artificial Intelligence (AI) platform in Helsinki’s Bike Share Scheme. Helsinki CityBike has gone live with Stage’s AI management platform and is supporting over 600,000 residents with their new season of Bike Sharing.

The BICO solution is actively collecting citywide data and optimising Bike Share operations in Helsinki. The partnership with Stage Intelligence enables CityBike to use its BICO AI platform to drive usability of its more than 2,000 bikes and increase ridership for the new season of Bike Sharing as the CityBike scheme continues to expand into the city of Espoo.

Stage specialises in developing, training and deploying AI technology to optimise the management and operations of Bike Share Schemes globally. Its flagship BICO solution has been helping multiple Bike Share operators around the world deliver a better optimised scheme while reducing operational costs.

“Helsinki is in one of the top ten most livable cities in the world with strong cycling infrastructure and public transportation links. We are excited to go live with CityBike and its partners to transform how over 600,000 Helsinki residents experience Bike Sharing every day. Over 96% of its residents have a positive attitude towards cycling and we’re proud to be using city data and AI to get even more people cycling through optimised and efficient Bike Share Scheme management,” said Tom Nutley, Head of Operations at Stage Intelligence.

BICO is being used to optimise Helsinki’s Bike Share Scheme and get more of its citizens cycling and using public modes of transport. Helsinki is one of the top cities internationally for cycling with around six journeys a day made by bike, according to the City of Helsinki’s Bicycle Account 2017 report. By 2020, it’s aiming to increase the number of journeys taken by bicycle from 10% to 15%.

“Cycling is quite often the fastest and most comfortable way to travel in Helsinki and the city has built quite a strong culture around it. The residents love cycling, and we want to get more people on two wheels and using the city’s extensive public transport methods,” said Jordi Cabañas, GM of the Bikesharing Division at Moventia. We chose Stage Intelligence because they understand the city and have strong processes that can help us achieve our ambitious goals in making Bike Sharing more accessible and attractive to all citizens of Helsinki.”

With population figures expected to reach 860,000 people by 2050, city officials and planners are focused on getting more of its residents cycling. Helsinki City Bikes have been at the heart of promoting the city’s cycling efforts.

“Public transportation is a big part of Helsinki with over 50% of the population relying on it for its daily commuting and Bike Sharing plays a very special role in this. Over 60% of users combine CityBike with public transportation and use it to get around the city as the Bicycle Account report states. It’s why we’ve gone live with Stage Intelligence to deliver a more efficient Bike Share Scheme and help more people in Helsinki see bikes and public transportation as a viable mode of travel,” said Juha Pitkänen, Service Manager at CityBike Finland Oy.

Stage’s BICO solution is currently deployed in numerous Bike Share Schemes around the globe including Divvy Bikes in Chicago, MIBICI in Guadalajara and Helsinki CityBike with several more deployments in the near future. It has been crucial in reducing operational costs for operators and enabling the rapid roll out of new features for its riders. Stage Intelligence has supported the Divvy Bike Share Scheme achieve over 15 million trips in Chicago.

 

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. Partners choose Stage Intelligence because its solutions increase their agility, adaptability and enable them to move beyond traditional manual processes.

Since its inception in 2011, Stage has collaborated with leading Bike Share operators from around the world to solve complex problems and deliver solutions that have a lasting impact on their operations.

www.stageintelligence.co.uk

 

About Moventia

Moventia is a public transport group since 1923, with a clear international vocation. Moventis is specialized in all type of mobility services (regular, urban, interurban and special) and moves around 110 million passengers per year with 1.300 buses, 41 tramways, special services and 26.000 bicycles, both traditional and electric with 1.700 stations. Regarding the automotive industry – 65 years this year – Movento sells about 27.000 new and used vehicles of the 17 brands it represents. Moventia, with 4.000 employees, is defined as a socially responsible group committed with the society, people, institutions and the environment.

www.moventia.com

 

About CityBike Finland OY

CityBike Finland is a subsidiary of Smoove and Moventia. The consortium is responsible for producing and operating the Helsinki Bike Share System. It was awarded a ten-year bicycle contract for the city of Helsinki, which was signed in December 2015 between HKL and the Moventia-Smoove consortium. CityBike Finland has also won an eight-year contract for the Finnish city of Espoo.

The Helsinki Bike Sharing service offers a turnkey solution aimed at providing the citizens of Helsinki with the most advanced public bicycle service in the world via a service with 1,500 bikes and 150 stations.

www.citybikefinland.fi

 

Stage Intelligence’s Usability Data Reveals the Need for Better Bike Share Scheme Management

Insights from schemes in London, Paris, New York and Chicago show that data can be used to deliver optimised rider experiences and grow Bike Share Schemes

LONDON, 8 November 2017 – Stage Intelligence, the leading provider of Bike Share Scheme management solutions, has released its 2016 Q4 data on bicycle and docking station usability and availability across Bike Share Schemes in London, Paris, New York and Chicago. Usability is central to providing an exceptional rider experience and supporting the growth of Bike Share Schemes. It ensures bikes and docking stations are available when and where they are needed most.

The data reveals Chicago and London leading the group with an average usability figure for the quarter of 99.3% and 99.4% respectively. Chicago has been consistent in delivering a reliable Bike Share Scheme to its riders. London is also rated highly but this could indicate over servicing its market, which can create unnecessary costs and limit growth.

New York City ranks the lowest of the major cities with an average usability figure of 90.2% for the quarter. It means that on average 10% of riders at any given time cannot access the bikes or docking stations they want. Paris follows New York City with an average usability of 98.1% with usability dipping to lows of 76.7%. The inconsistency in the scheme means that it may be difficult for riders to depend on the scheme on a daily basis.

“Bike Share riders and cities benefit from Schemes that are easy and reliable to use,” said Tom Nutley, Head of Operations at Stage Intelligence. “Operators need to make sure that riders have access to bikes when and where they need them without over servicing the market. This is where the London scheme could be at most risk. The data is very positive for London but it could be using too much city resources to manage its operations especially when there is no need to.”

Stage’s usability measure compares all docking stations that are within easy walking/cycling distance in a published 500m radius from each other, which can be altered by the BICO platform. The platform takes into account each city’s SLAs when measuring the usability of a Bike Share Scheme. A docking station is usable if there are bikes and docking points available at the station itself or at one or more of its neighbours. The BICO platform can also set custom usability defined by a specific threshold or the SLAs of different cities.

“For Bike Share schemes to be seen as a real, public transport solution and a smart answer to urban mobility, they need to work as good or better than existing public transport services,” said Paul Stratta, Director, at Platform for European Bicycle Sharing & Systems (PEBSS), an initiative from the ECF. “Nowadays people go to bus and railway stations expecting the services to be there, and for it to operate on time. It should be the same with Bike Share schemes. Collecting and analysing data allows Bike Share operators, and their city clients, to get a big picture of operations and understand where bike share can improve and how exactly to do it.”

The neighbourhood approach goes beyond the usual cluster and geographic data collection method which may be a sub-optimal approach – especially in larger schemes. It can identify if Bike Share Schemes are managed well and if it is over or under servicing the cities and its riders. The BICO platform is dynamic to each city and considers each city’s user patterns and prioritisation as well as the SLAs they operate under to measure the usability of Bike Share Schemes and provide valuable data for operators.

“Our BICO platform allows us to take a deep dive into individual Bike Share Schemes in different cities and neighbourhoods around the world and find ways to improve usability within them,” said Toni Kendall-Troughton, CEO at Stage Intelligence. “We were particularly impressed with Chicago’s Bike Share scheme which was performing well without over servicing its neighbourhoods or the market. It was consistent throughout the quarter with high usability figures and over-performed on busy summer weekends to meet the rise in demand.”

 

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 bikeshare schemes. BICO enables precise and optimal decision making and has been purpose-built to remove the complexity from managing resources within a bikeshare 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.

www.stageintelligence.co.uk

 

Stage Intelligence Launches Accessible Artificial Intelligence Programme for Bike Share Schemes

Stage has introduced an introductory offer that enables small-to-medium Bike Share operators to leverage AI in the distribution and management of Bike Share Schemes

LONDON, 21 August 2017 – Stage Intelligence, a leading provider of Bike Share Scheme management solutions, has launched its accessible Artificial Intelligence (AI) programme to support small-to-medium Bike Share Scheme operators with affordable Artificial Intelligence (AI) technology. Operators with up to 2,000 bikes can leverage AI with real-time data and self-organising algorithm capabilities with Stage’s limited time introductory offer.

Stage Intelligence, founded in 2011, specialises in using AI solutions to tackle some of the most complex problems in transportation and the shared mobility market. In public Bike Share Schemes, Stage has been highly successful in supporting operators around the world in collecting data and optimising redistribution efforts. Operators are seeing more than 20% reduction in costs through improved operational efficiency with the BICO Solution. The introductory offer is levelling the playing field in a rapidly growing industry.

“Up until now, AI has been limited to the largest players in the market and required significant investment to develop and implement. Our accessible AI programme allows small and medium sized players to adopt new technology and use it to grow,” says Tom Nutley, Business Development Director at Stage Intelligence. “Bike Share Scheme operators globally can deploy AI and simplify how they manage their schemes. We are enabling more riders to enjoy an optimised Bike Share experience.”

BICO has been purpose-built to remove complexity and accelerate decision making. Through intelligence on weather conditions, seasonality, city events and a near infinite number of factors, operators can stay ahead of fluctuating demand. BICO enables Bike Share Scheme operators to take a smarter approach to redistribution by moving away from the traditional schedule or dispatch-based approach and eliminate wasted journeys.

“The shared mobility market is only the beginning for Stage and there are applications of our software in all aspects of transportation from public transit to optimising delivery. We have spent years enhancing our AI technology to support operators and ensure resources are there when and where people need them. Ultimately, this is what will help us to move beyond shared mobility and address the challenges of the wider industry” says Toni Kendall-Troughton, CEO at Stage Intelligence.

Stage’s BICO solution has been proactively managing one of biggest challenges in Bike Share, the availability of bikes and docking stations. Through AI, self-organising algorithms and real-time data, the software has simplified management and optimised operations for Bike Share Scheme operators worldwide. Stage’s state-of-the-art AI technology will be at the forefront of how people move from A to B in the future.

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 bikeshare schemes. BICO enables precise and optimal decision making and has been purpose-built to remove the complexity from managing resources within a bikeshare 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.

www.stageintelligence.co.uk

Stage Intelligence Integrates the GBFS Open Data Standard into its BICO Bike Share Recommendation Engine

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.

www.stageintelligence.co.uk