Logistics

Plan for where demand is going

Every blind spot in your network costs deliveries. With CARTO, analyze hubs, lockers, routes and fleets live, inside your own cloud.

CARTO AI Agent comparing road detour factors across eight Gulf ports, with truck routes from each port to the stores it supplies across the US and Mexico

Network decisions without the queue

Planners ask where to add a hub, depot or locker and get a ranked answer from live data and self-service tools, instead of joining a queue of GIS requests.

Plans that move with demand

Re-run a network plan on fresh volume, mobility and weather data the day demand shifts, not at the next annual review.

Maps your customers can use

Embed live maps in your own portal so shippers can explore their deliveries on the same data you run on.

Trusted by the world's leading logistics companies
DPD is a CARTO customerAena is a CARTO customerAllegro is a CARTO customerWerner Enterprises is a CARTO customer

Where logistics teams use CARTO

Hub, Depot & Network Planning

A hub in the wrong place costs you for years, yet most are sited from last year's volumes and a spreadsheet. With CARTO, test every option against live demand and drive times before you commit.

Twenty-minute drive catchments around two distribution branches in Chicago, with outlets on and off route and uncovered weekly cases by channel

Fleet & Telematics Analytics

Fleet data arrives by the billion, and most tools can only sample it, so the trouble spots stay hidden. With CARTO, analyze every GPS ping and find where vehicles dwell, deviate and get stuck.

CARTO AI Agent measuring the delay from a highway closure, with rerouted delivery legs and affected stores across Los Angeles

Locker & Pickup Point Networks

Failed deliveries start with a network that sits where parcels used to go, not where people are now. With CARTO, prove the demand for every locker and pickup point before you build it.

CARTO AI Agent ranking the top 100 new parcel locker sites across London by predicted demand, with a rollout curve and locker estate widgets

Last-Mile Delivery

A route plan built on yesterday's roads and depots misses today's deliveries. With CARTO, re-plan routes and service areas the moment conditions change. DPD Ireland is rolling CARTO route optimization out to more than 80% of its 40 depots, taking three to four vans off the road at each.

CARTO AI Agent advising on a courier fleet mix, with a map of walkable and driving-only delivery routes across New York City

Customer-Facing Apps

Shippers expect to explore their own deliveries, not wait for a monthly report. With CARTO, give them live, branded maps on the data you already run on, inside your own portal.

Branded parcel locker planner app built with CARTO, scoring a London location at 93 out of 100 with its walking catchment, demand and depot access
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How it works

Spatial analysis where your data already lives

Shipment and fleet data is huge and sensitive, and every copy adds cost and risk. With CARTO, analysis runs inside your cloud data warehouse, so nothing is copied or exported.
Specialist tools slow every new request. Create maps, apps, and workflows in CARTO, or describe them to an agent with CARTO for Agents and refine them in natural language.
Routine questions pile up on the GIS team. Publish self-service experiences that answer them on demand, so planners and operations managers can ask for themselves.

Frequently asked questions

Can we show customers their own deliveries?

Customers can track their own deliveries on live maps embedded in your customer portal. With CARTO, build those maps and apps on the shipment data already in your warehouse, branded as your own, and your permissions make sure each shipper only sees its own parcels and routes. Learn more for developers.

How is location intelligence used in logistics?

Logistics teams use it to decide where to put hubs and lockers, plan last-mile delivery and understand fleet movement. In CARTO that means catchment analysis, site scoring, demand forecasting, routing and hotspot analysis, all running on your own cloud data. Explore CARTO for Supply Chain Optimization.

How do you choose locations for hubs, depots and lockers?

Map parcel demand onto a spatial grid such as H3, measure what each candidate site can reach in drive time, then score every candidate on demand, access and cost. With CARTO, you run that as one repeatable workflow and compare scenarios when volumes change. Learn more about Site Selection.

How can logistics companies analyze fleet data at scale?

Aggregate every GPS ping onto an H3 grid inside your warehouse, then use hotspot analysis to find where vehicles dwell, deviate or run into trouble. Nothing is sampled or copied out. On Snowflake? Learn how to run fleet intelligence there.

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