Collaborative Delivery System

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Collaborative Delivery System.

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Perform collaborative delivery with a given set of delivery agents to any no: of delivery locations based on demand.
The path traversed by the agent should be kept to a minimum, based on constraints in delivery time and a custom cost function.
Delivery runs occurring around the same time with overlapping segments are to be optimised in such a way that the overlapping segments are handled by a single delivery agent.
This means the items are swapped between delivery agents at dynamically determined way points, which leads to a drastic reduction in the overall distance covered by all the agents.

A custom cost function was designed as the weighted sum of distance and time with the weights varying based on different scenarios like traffic, weather etc.
Derivative free optimisation for the route plan was performed using Google OR-Tools.
The modules were designed as microservices using Vert.x. The microservices approach was used so that individual modules could be scaled up/down automatically based on load specifically occurring at those specific modules.
The platform was developed in Python.