Fleet

Rebalancing 

ENSURE EACH VEHICLE IS IN THE RIGHT PLACE, AT THE RIGHT TIME

FORECASTING DEMAND

Operators often miss out on rides due to vehicles not being where they need to be. This leads to a reduced utilization rate, and in turn, reduced revenues. 

 

Ubiq addresses this problem by ensuring fleets remain balanced throughout the day. This requires forecasting where demand is likely to be and then executing the movement of vehicles from cold zones to hot zones.  

 

The first step - forecasting where demand will be - simply requires an operators fleet data and Ubiq's rebalancing engine takes care of the rest. Using historical fleet data and combining it with environmental data, the rebalancing engine suggests an optimal location for each and every vehicle, at any given time.

EXECUTING REBALANCING

Forecasting demand, however, is only half of it. Once the engine has picked out vehicles eligible for repositioning, this intelligence needs to be acted upon.

Ubiq is a unique in that it provides not just forecasts, but an end-to-end fleet rebalancing service, too. 

Ubiq provides three types of rebalancing execution:

1. Fleet Rebalancing API - this simple service sends recommendations straight to the operator's fleet management system to act upon.

2. StreetCrowd App for operational team - for ultimate ease of use for service and operational teams. Ubiq's StreetCrowd app guides them in moving vehicles from low demand to high demand locations, by alerting them when vehicles requires repositioning. 

3. StreetCrowd App for crowd-based rebalancing - for complete end-to-end rebalancing taking advantage of a StreetCrowd community hired and managed by Ubiq. As StreetCrowd users are often customers, this creates a rebalancing ecosystem utilizing the power of the crowd.

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 fleet rebalancing service  enables operators to see where potential demand will be, and provides the operator with a StreetCrowd community to execute vehicle repositioning.

Case Study:

MILES Mobility

Berlin

Increased

fleet utilization

Reduced operational costs

1,100 Vehicles