Use AI to optimise your delivery network and reduce carbon emissions
Route optimisation is the process of planning the most efficient and effective route for a fleet of vehicles to travel. It involves taking into account a variety of factors, such as the location of stops, vehicle capacity, traffic conditions and time constraints.
It's a classic problem in optimisation—and is the generalised version of a problem referred to as the Travelling Salesperson Problem.
Route optimisation is a complex task that only gets more complex as you deal with larger fleets, more constraints or increasingly complicated delivery schedules. Hence, traditional methods of route optimisation can be time-consuming and—as complexity increases—inaccurate, as they may not be able to take into account all of the relevant factors.
AI route optimisation solutions can help businesses to overcome the challenges of traditional route optimisation methods. These solutions use AI to analyse large datasets of data, including historical delivery data, traffic data and vehicle data. This information is then used to generate optimal routes for large, complex delivery networks.
AI route optimisation solutions provide a number of benefits, including:
AI route optimisation solutions can benefit businesses in a wide range of industries, including retail, logistics, transportation and field services. They benefit businesses of all sizes, from small businesses to large enterprises. Though, the more complex the delivery network, the higher the ROI an AI solution is likely to produce.
Some of the specific roles that can benefit from AI-powered route optimisation solutions include:
A typical Datasparq route optimisation solution works by analysing the following types of data:
This data is then used to train a machine learning model to generate optimal routes for businesses. The model can then be used to create routes for individual vehicles, or for entire fleets of vehicles.
As outlined above, by optimising delivery routes, AI solutions can help businesses to reduce costs, improve customer service, increase productivity and reduce their environmental impact.
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