Project: N4 Route
At one glance
|Solutions||Individual software development|
|Technologies||Node.JS, Webservices, Business Converter|
Brief summary of the results
- From an unordered sequence of address data, N4 Route calculates a distance and time optimized route.
Time is money. In the logistics industry, this is even more important because guaranteed delivery times must be met and smooth scheduling must be ensured. Route optimisation is therefore of particular importance. Shorter, optimised routes enable significantly higher productivity on the one hand and lower fleet costs (fuel, wear and tear) on the other.
Especially when numerous destinations have to be approached, optimal route planning is no longer intuitive for a human being, or only with an enormous expenditure of time. Time which is then lacking for other work. We dedicated ourselves to this topic in order to create a solution that automatically creates an optimized route from a disordered sequence of addresses. Of course the solution had to be designed in such a way that it could be tailored to the individual needs of our customers at any time.
Map Source: https://maps.openrouteservice.org
With N4 Route a program has been created to which one can provide a list of addresses and then automatically
optimize them in the shortest possible time. These addresses can be easily exported from an existing
merchandise management or warehouse management system. Even address lists, which are available as
conventional Excel tables, can serve as input. Of course, in addition to the pure address data, it is also
possible to transfer any other parameters, such as tour name, tour line number, order number, delivery note
number or free text fields for comments etc., which are then assigned to the respective delivery. JSON or
any other common data exchange format can be used for this purpose. N4 Route returns the optimized route
including the necessary features and creates a link for displaying it, e.g. a Google Maps link. Delivery
times and distances are therefore reduced drastically in many cases.
we solved it.