Imagine you have 1000 parcels to deliver and many trucks at your disposal. Assuming a single truck has a 100-parcel capacity, the number of possible combinations of routes from one address to other could be 6385051192630513023669851114202227428126290069385333177628681.
A human brain cannot practically process these many numbers of possibilities.
Feed in as many addresses as you can and have a route ready within minutes.
Geo-Coding converts English addresses to mark positions on a map, then Geo-fences mark areas that should not be clubbed when creating routes.
Our business rule engine is configurable for precise details like
Auto Routing then allows smart assignment of jobs to drivers as and when jobs originate. The most optimum route is achieved with - Score based routing. Dynamic Routing is also enabled. A manager can ‘assign to route’ a new pick up or return order on demand; considering the rider’s best efficiency, location proximity and vehicle capacity.
All this and a bunch of other algorithms are at your service!
DID WE MENTION IT’S FAST? See all this magic happen in fractions of a second.
ML capabilities empower logistics software to analyze historical data to deliver critical business information and predict issues that can impede deliveries, including congestion and early detection of pilferage and theft.
Higher OTIF is the order of today and the future. This trend will continue to put pressure on suppliers to align themselves in terms of their operations and processes to avoid penalties and retailers to boost sales.
When talking about the existence of a logistics software, the developments that took place in the 1980s plays a key role. It was during this period that personal computers emerged, and this helped supply chain owners plan logistics in a more graphical environment.