Reducing costs & improving visibility through spatially optimized supply chain solutions is fundamental to fulfil today’s consumer’s increasing expectations.

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Route Optimization

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.



less failed deliveries

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increase in network coverage

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Pick Up & Drop Off Site Planning

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.


Fleet Management

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.



decrease in fleet fuel costs

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See for yourself

Learn how you can optimize your supply chain network to better serve your customers and make significant savings in operational costs.

What our clients say

  • 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.

    Lindsay Hirschhorn,
    Data & BI Lead at delivery.com

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