Here are 4 top data platforms to help you maximize your ridership and optimize rebalancing operations in your cities.
There are many ways to increase your ridership. This may mean running PR and marketing campaigns to improve acquisition, but it could also mean optimising your existing operations.
Thanks to the smart, connected vehicles in your fleet (and in other companies’ fleets!), there is a wealth of data at your disposal - data that can be used to achieve better vehicle placement and earn more rides.
Zoov's all-in-one solution for operators gives you a fleet of bikes, a user app (for either sharing or leasing, or both!), and unrestricted access to an advanced control center made up of maintenance and fleet management tools.
Whilst this will give you everything you need to pilot and optimize operations, there are certain platforms that can help really delve into your data.
- Zoba - operational gains and adaptive pricing
- fluctuo - data visualisation and discovery
- Vulog - optimize supply and demand
- Lanterne - smart tasks and demand predictions
In the past, operators have simply placed vehicles on hunches or on ‘best guess’ scenarios with basic hotspot forecasting and mapping, whilst prioritising transport hubs, train stations or large metro stations. You can look at your ridership data from week to week and make relocations to test new areas but, because of the variables that can change from one week to the next, it’s hard to derive meaningful conclusions about the effectiveness of your relocations.
“Ultimately, the goal is to do the right tasks, at the right time, in the right order”.
- Joseph Brennan, Co-founder of Zoba
With algorithmic decision automation, operators can leverage their historical data to predict which vehicles will get rides downstream after a deployment or a battery swap, and thus prioritise vehicle interventions to maximize ridership and revenue.
Another challenge for operators is when users leave vehicles in areas where they will not get picked up again - or users avoid a vehicle because it has low battery (but there is still a trip left in it).
To solve this, Zoba can also make recommendations for vehicles to discount. Discount recommendations are based on demand, where the vehicle will likely end up after a ride, and battery level.
Giving your users an incentive to pick up these vehicles and take them to a more suitable area for the next rider, and/or get that final ride out of the vehicle before the battery runs out will help boost revenue significantly.
Read more from Zoba in The Ultimate Guide to Profitability in Micromobility
When launching in a new market, one of the biggest - and most costly - mistakes is to go in ‘blind’. For successful operators, simply guessing where to place shared vehicles is not an option. Real success in fleet management depends on real market knowledge - and that means access to real data.
As Europe’s leading aggregator of shared mobility data, fluctuo offers new providers a crucial snapshot of new micromobility markets before they launch, then gives them critical business intelligence to optimize ongoing operations.
For over 85 cities, fluctuo’s City Dive dashboard allows users to:
- Identify hotspots for vehicle demand, including vehicle concentration heatmaps
- Monitor origin-destination traffic and map key routes
- Evaluate trends over time, including periods of peak demand and hourly ridership indicators
- Benchmark themselves against the existing service offering including total fleet size, total trips and usage rates in the whole city.
“Time and time again we see new operators struggling in new markets because they don’t have access to the right market data. The single most important factor for smart, sustainable fleet management is being informed about the local demand for micromobility - and this is where fluctuo comes in”.
- Julien Chamussy, CEO of fluctuo
One of the biggest names in mobility software is undoubtedly Vulog.
They develop prediction models to optimize supply and demand: maximise vehicle availability, increase fleet usage, provide better service to end-users.
With their smart analytic tools, you will be able to better understand mobility patterns in cities, and take more strategic decisions when it comes to organising your fleet.
In addition to smart tasks, similar to what Zoba are doing above, Lanterne has developed an advanced platform to help predict demand.
The demand prediction model leverages your internal fleet utilisation and supply data as well as external data such as weather and geography (e.g. proximity to tourist hotspots or public transport) to make highly accurate demand predictions.
The model is tailored specifically towards identifying areas of oversupply and undersupply, so you know where you need to take action. What makes this platform different is that it gives you estimates on the underlying demand in any given area, rather than just an estimate of utilisation.
“Powered by our demand prediction modelling, our Smart Operations Manager helps operators achieve the highest fleet utilisation with the lowest operational costs, resulting in the best fleet performance".
- Alex Barnes, CEO of Lanterne
Looking for more ways to acquire users? Check out our latest guide: