Consumer Packaged Goods
Grow where it pays, and prove it
Few CPG teams turn outlet and sales data into a distribution plan the business will fund. With CARTO, you'll analyze it in your warehouse and rank where to act next.
Data that pays back
Data and analytics that never tie back to sales are the first budget cut. With CARTO, you'll combine footfall, POI, and demographic data with your own sales and prove which spend converts.
Answers, not a build
Brand and sales teams want an answer, not a platform project. With CARTO, you'll give them answers to their most pressing problems in the tools they already use.
Fits what you run
Every new tool means another data copy and another stack to defend. With CARTO, you'll run analysis inside Snowflake, Databricks, or BigQuery, on the data you already govern.
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How it works
Spatial analysis where your data already lives
Where CPG teams use CARTO
Consumer & Outlet Segmentation
One plan for every outlet means the same promotion pays back in one neighborhood and burns budget in the next.
Cluster every outlet on its own sales and the demographics around it in CARTO Workflows, running natively in your warehouse at a scale legacy GIS can't reach, so spend goes to the segments that convert.
Market Expansion
National averages hide the few areas where a brand can win, and a one-off GIS study is out of date before the budget meeting, so expansion bets stall.
Because CARTO lets you score demand, rivals, and reach on H3 cells inside your warehouse, every number traces back to its source, so the expansion case holds up with finance.
Route to Market & Territories
Territories drawn years ago in desktop GIS leave high-potential outlets unvisited, and redrawing them waits on a specialist.
With CARTO, you'll rebalance territories on outlet potential and real drive time, rerun them as outlets and reps change, and put the plan in the AI tools your sellers already use, like ChatGPT or Copilot, so they spend their week where the volume is.
Distribution Management & Retail Coverage
Spreadsheet and BI totals hide the areas where shoppers buy your category but your product isn't on the shelf.
Score every outlet against demand and plan the routes to reach the gaps in CARTO, all without data leaving your warehouse, so reps fill the biggest gaps first.
Market Research Data
Data prices climb while the question stays the same: is it earning its cost?
Data from the CARTO Data Observatory lands straight in your warehouse, next to your own sales, so you can test footfall, POI, and demographics in a proof of concept before you buy or renew.
Frequently asked questions
It depends on the analysis. Analysts can build most CPG work, from outlet segmentation to territory balancing, in low-code CARTO Workflows that run inside your warehouse. For more advanced models, CARTO lets data scientists package their work as AI Agents and MCP tools, so sales and brand teams get self-service answers on a map without waiting on a specialist.
They segment outlets and consumers (geosegmentation), find distribution gaps, choose where to expand, balance sales territories, score outlet performance, and forecast demand by area. With CARTO, you'll run all of it on your own cloud data.
Distribution channels are the routes a product takes to shoppers, from distributors and wholesalers to grocery, convenience, and e-commerce. With CARTO, you'll map your coverage against demand in each channel and find where it falls short, and plan the routes to close the gap.
A distribution void is an area with demand for your category but no stocked outlet. Gap analysis compares demand with coverage and hotspot analysis ranks the biggest gaps. With CARTO, you'll run both in your warehouse and send reps the ranking as a map.
