Put scooters where people want them.

Micromobility companies use Zoba to predict when and where exactly their customers will want to use their scooters, mopeds, or bikes.


They then use the Zoba optimization tools to place those vehicles so that they follow the flow of demand throughout the day, not just getting that first ride, but as many rides as possible over a specified period. 

The Problem.

Most fleets underperform.

Consumer behavior and demand isn't always intuitive and it is impossible to intuit optimal distributions of fleets across space and time. Few micromobility operators are optimally deployed, leading to chronic underperformance.

Understanding Demand.

Remove the supply constraint.

Demand can't be observed, but it can be modeled. To truly understand demand, we must remove any supply constraints on consumer behavior because consumers ride vehicles where they are placed. Micromobility companies use Zoba to predict where their customers would take rides if there was a vehicle on every street corner of the city.

Optimizing Operations.

Follow the flow of demand.

Demand moves through a city like a wave throughout the day. Starting at people's residences, moving to their place of work, then moving back towards their homes in the evening. Scooter companies use Zoba to place their vehicles so that they catch that demand and ride it throughout the day, capturing rides from dawn to dusk.