Spatially optimizing driver routes is crucial in order to deliver a superior customer experience & greater profitability in parcel delivery. Identifying optimal routes whilst considering multiple variables such as road conditions, depot status, and driver & vehicle profile is challenging. Using a spatially focused route optimization engine is paramount so that your customers are happy, & your costs are reduced alongside your carbon footprint.SEE CPG STORY
less failed deliveries
increase in network coverage
Logistics players are turning to networks of stores or self-serve lockers to serve as pick up & drop off points to reduce their failed delivery numbers. As ecommerce becomes more popular, increasing the geospatial coverage of such networks is fundamental in order to retain market share & profitability - especially with higher value items. Using spatial modeling enables supply chain firms to predict demand using new data streams (such as human mobility or ecommerce propensity) as well as to understand catchment areas.SEE VIDEO
Using Location Intelligence in the fleet management process allows your company to improve efficiency, reduce costs, and provide compliance with government regulations. Visualizing your fleets assets & optimizing their activity with data streams such as traffic, weather, & routing data can, if done properly, lead to double digit savings for your organization.SEE SECURITAS CASE STUDY
decrease in fleet fuel costs
Learn how you can optimize your supply chain network to better serve your customers and make significant savings in operational costs.
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