Uber for Couriers: Logistics Software Promises to Minimize Traffic and Emissions

The new software reroutes trucks and delivery vehicles with real-time data and machine learning.

The Guardian
Premonition’s technology can optimize large job sets, rerouting multiple vehicles in real time based on a plethora of factors: changed traffic conditions, weather, delivery windows, incoming orders and returns, truck capacity, a driver’s final destination and consumer requests such as redirected parcels.
Premonition’s technology can optimize large job sets, rerouting multiple vehicles in real time based on a plethora of factors: changed traffic conditions, weather, delivery windows, incoming orders and returns, truck capacity, a driver’s final destination and consumer requests such as redirected parcels.

Brad Lorge began his entrepreneurial journey helping charities more effectively coordinate the collection of food from supermarkets and warehouses.

Now the software engineer is the co-founder of Premonition, a logistics optimization firm helping online retailers and shipping companies meet heightened consumer expectations and develop more sustainable supply chains.

While optimization and fleet planning software isn’t new to the logistics industry, Lorge says Premonition’s platform is unique globally and is already helping to manage the deployment of thousands of vehicles on Australian roads, saving tens of thousands of kilometers each day.

Premonition’s technology can optimize large job sets, rerouting multiple vehicles in real time based on a plethora of factors: changed traffic conditions, weather, delivery windows, incoming orders and returns, truck capacity, a driver’s final destination and consumer requests such as redirected parcels.

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