carto for supply chain optimization

Supply Chain Optimization

Minimizing costs in Supply Chain Optimization, while fulfilling increasingly high consumer expectations is an inherently spatial challenge. See how location data help along the way.

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Route Optimization

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.

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Route optimization with carto
Route optimization using carto
Distribution Management with carto

Last-Mile Logistics

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.

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Distribution Management with carto

Demand Modeling

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.

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Demand Modeling
Demand Modeling mobile
FEATURED STORIES

Get inspired by our customers

"Using CARTO has allowed us to analyze large amounts of spatial data for 5G deployment at scale and build a creative solution to a complex industry problem."

Kendra Lord
Kendra Lord
Director of Geospatial Engineering & Analytics, T-Mobile
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“By working with CARTO we’ve been able to build the world’s leading telco data monetization solution (Vodafone Analytics) for Tourism, Real Estate & Retail - turning mobile event data into highly valuable spatial insights in 5 countries.”

David Gonzalez
Chief Data Officer at Vodafone Group
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The ability to scale our data is a big selling point, as well as the features in the Analytics Toolbox. I also love how easy it is to plot something using CARTO Workflows. As a team leader, I am looking forward to what we can create and achieve using CARTO.

Julieta Landerreche
Data & Analytics Manager at Mercado Libre

“CARTO makes map making easy. I can quickly pull the data in, get it on a map, do some light SQL and then share. Collaboration is easy and within a couple of hours we can have a really great visual product to share with decision-makers.”

Jason McVay
Data Scientist, Indigo Ag

"Working with the CARTO platform has helped take our Location Intelligence strategy to the next level. The platform’s rich set of data analytics features and cloud-native approach helps us deliver outstanding insights that fuel our strategy, execution, and performance measurement."

Michal Klis
Head of Location Intelligence at Allegro

Considering spatial data in our aggressive expansion plans has been a key part of our success. By designing our territories in CARTO, we’ve been able to improve customer satisfaction significantly - working closely with our grocery store partners.

Neera Chatterjee
Senior Product Manager at Instacart

Related content

Video
Calculate Routes at Scale

Routing analysis is fundamental to many use cases - from transport planning to fleet optimization to site selection. Learn how to calculate routes at scale.

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Blog
Calculating Routes at Scale Using SQL on BigQuery

Read this guide about route optimization using Google BigQuery, a cloud-native and scalable alternative to PgRouting and Network Analyst.

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Blog
Why Use Data Warehouses for Geospatial Analysis

Why to use BigQuery, Snowflake, Redshift & Databricks for geospatial analysis? Explore now a real-life example.

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