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
Increased fleet utilization
Increased revenue per vehicle
Operators miss out on revenue due to vehicles being located in the wrong places.
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.