The vehicle routing problem (VRP) isn’t just about finding shorter routes or less routes, it’s a strategic way to reduce costs & your fleet’s carbon footprint. By considering the spatial components in supply chain networks & gaining more visibility of your assets, you can create more spatially compact routes for your fleet to reduce fuel & maintenance costs, using new data streams such as road traffic & weather as part of your constraint-based optimization.
reduction in fleet fuel costs
reduction in late deliveries
Real-time on-demand transportation challenges are on the rise as consumers continue to adopt new food & grocery delivery services. Unlike traditional VRPs, users expect an immediate response & accurate ETAs as part of the customer experience. Whether you need to look at historic data to optimize the locations of riders or ghost kitchens, or you are planning expansion into new markets - our platform enables the rapid analysis & enrichment of spatial data to support your decisions.
With rapidly evolving customer preferences & an unprecedented pace of change in regulation, being able to accurately forecast demand in existing & new markets can help your organization to better monitor resources & cut costs. Using spatial models you can simulate demand enriching with data streams relating to events or weather, providing insights to predict & test future demand scenarios.
increase in forecast accuracy
Since we’ve partnered with CARTO, we’ve looked at our data in a different way connecting to Looker. We can now better understand trends across the restaurant delivery service industry and how those trends affect us in different cities, saving us time & resource in the process.
Data & BI Lead at delivery.com