Car Sharing
Become a legitimate replacement to car ownership
Micromobility.
Put scooters where people want them
Car sharing companies (both free-floating and round-trip) use Zoba to predict the demand for their service, then use various optimization tools, including price optimization and rebalancing recommendations, to increase the utilization of their vehicles.
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.
Car Sharing
Integrated. Easy.
Always Learning.
We use a stream of your ride data and external datasets to produce real-time demand forecasts, then integrate recommendations into your operations stack.
Calculating decisions in the background.
Our goal is to improve your performance without changing how you do business. We use your existing data and plug into your existing software.
Just flip the switch and increase utilization. It's really that easy.
Scale at will.
Zoba's API can handle millions of events from hundreds of thousands of vehicles—on day one. Deploy models and experiment with optimizations and scale according to your needs.
MODULAR ARCHITECTURE
Customer
Event Data
Customer Event Data
We ingest a stream of your historical ride data into our demand models to return the most accurate forecasts at all times.
Zoba Demand Inferencing
Understand historical demand for mobility services. Where would have riders used your vehicles if they had been available anywhere?
AUTOMATED BY API CALL
Zoba Demand Forecasting
Use temporally variable features to predict when and where you will see demand for periods in the near future.
FEATURE DATA
Weather
Events
Seasonality
Customer Operations Systems
We integrate with whatever system you currently use to run your operations. We can scale the complexity of our recommendations to match your software.
Zoba Fleet Optimization
Use techniques like rebalancing and dynamic pricing to move your fleet into a distribution to best capture demand and increase utilization.
The industry's most powerful models. One API call away.
We put the power of complex models into two simple API calls:
Z.estimate_demand and Z.optimize.
Forecast demand for any time frame with a simple API call.
Demand is the rides that consumers would take in the absence of supply constraints. If there were infinite vehicles available, which ones would they ride and when? By planning operations using demand forecasts, you can ensure that you are maximizing utilization.
We package complex demand models into a few lines of code. Use a simple API call: Z.estimate_demand and specify a timeframe to learn exactly how many rides per hour you can expect on every street corner in any city based on historical demand and temporal features such as seasonality and weather.
Once computed, results feed into optimization modules or are prepared for visualization.
Optimize thousands of vehicles just as easily.
Optimization allows you to capitalize on your new ability to forecast demand. Zoba hosts specially tuned and powerful optimization solvers to find the mathematically optimal distribution of vehicles, price, and more.
With Z.optimize and a timeframe, we will tell you where your vehicles should be placed so that they don't just get one ride, but ride the waves of demand to capture rides all day. Whether you use stations, drop off points, or an entirely free-floating model, we can recommend a distribution for your fleet that will significantly increase your utilization. Don't want to move physical assets? We offer dynamic discounting and pricing to respond to the demand through user incentives.