Senda already used its own algorithms alongside external GIS support such as Google Maps or Here Maps, assigning, optimising routes and enabling real-time monitoring of last-mile operations.
Now, with the new algorithm already implemented in Senda, the reassignment of customers between delivery zones to balance the number of deliveries in each of them is resolved in just a few seconds, so that workload is balanced, delivery errors are minimised and costs are saved by significantly reducing the number of kilometres driven.
This algorithm was developed by a team from the research group Numerical Analysis, Optimisation and Applications, of the University Institute of Mathematics and Applications (IUMA) at the University of Zaragoza and the Spanish Society of Statistics and Operations Research, in collaboration with Alerce, and has received the second ALIO Prize for Excellence in the Practice of Operations Research, awarded by the Latin-Iberoamerican Association of Operations Research.
SENDA is a leading application for the intelligent automation of last-mile route planning in large urban environments, where the distribution of goods and courier deliveries is becoming increasingly complex due to the multiplicity of factors operating within them.
It also facilitates the work of industrial logistics operators by allowing the configuration of variables used by the system to optimise the service, such as the characteristics of each vehicle, package sizes, the nature of the shipment or the delivery and/or collection conditions at the customer's premises - time windows, tail-lifts, special equipment, etc.
SENDA is designed to integrate with market TMS applications, as well as the one offered by Alerce, Alertran (transport operations and financial control). It also integrates with the rest of the Alerce suite applications such as Diana (driver app), Sedon (document scanning and storage), building tailored solutions for each customer to enable total cost control and optimisation throughout the supply chain.