Demand Prediction 

KNOW WHERE DEMAND WILL BE FROM DAY ONE

Launching a mobility sharing service in a new city is tricky when you’re entering a market blind. Without historic user patterns it is difficult to address demand without valuable usage data.

 

Ubiq fills this gap using a mix of historic demand patterns from anonymized third party fleets, weather, airport scheduling and localized events to ascertain demand for services. This allows for the optimization of fleet deployment from day one, enabling a better fleet distribution to meet demand.

Case Study: Free2Move

Washington D.C.

Increased fleet utilization

Increased revenue per vehicle

600 Vehicles

Problem

Operators miss out on revenue due to vehicles being located in the wrong places.

Solution

Ubiq's dynamic demand prediction model enables operators to see the potential demand of each and every vehicle in its fleet. This means every vehicle, at any given time, can be positioned to best supply demand.