Grocery is the most local business in retail — prices change by store, ZIP code and delivery zone. We give US grocers, CPG brands and quick-commerce platforms the hyperlocal data they need to price, stock and compete trade area by trade area.
A US grocer or CPG brand competes store by store — and quick-commerce platforms add their own zone-based pricing on top. The same item carries different prices, promotions and stock across stores just miles apart. A blended national figure tells these teams almost nothing; they need data captured where the shopper actually shops.
We turn the fragmented world of US grocery and q-commerce into structured datasets your pricing, category and brand teams can act on at the local level.
Prices captured by store and ZIP, not a national blend.
Grocery prices, promos and stock refreshed every day.
From your scope to a validated grocery data pilot.
One data partner serving grocers, CPG brands, quick-commerce platforms and the teams inside them.
Price competitively in every trade area, not on average.
Track how products are priced and stocked across grocery.
Benchmark assortment, pricing and delivery economics.
Feed hyperlocal competitor pricing into decisions.
Find category price gaps store by store.
Compare own-brand prices against national brands.
Use availability data to protect on-shelf presence.
Build local market views from structured grocery data.
Each solution is a focused dataset — combine the ones that match your priorities.
Hyperlocal grocery price, promotion and stock tracking.
View solution →Assortment, pricing and delivery data from US q-commerce.
View solution →In-stock and out-of-stock monitoring across stores.
View solution →Weekly-ad deals and discount monitoring by category.
View solution →Competitor pricing across the wider US retail market.
View solution →Match grocery products to competitor listings accurately.
View solution →Hyperlocal grocery data drives pricing, category management and brand strategy.
Set prices competitive in each local market.
Compare a banner against rivals in the same ZIP.
Track own-brand gaps against national brands.
See how rivals discount staples by region.
Track delivery fees and platform pricing.
Catch grocery stock-outs before they lose sales.
A simple five-step path — and you talk directly to the engineers building your pipeline.
Tell us your products, ZIP codes and platforms.
We configure location-level grocery capture.
Data is cleaned, validated and deduplicated.
Clean output via CSV, JSON, API or dashboard.
Daily updates with monitoring and alerts.
We focus on US grocery and q-commerce platforms and US response hours — so your team gets fast pilots and data that is genuinely hyperlocal.
Prices at store and ZIP level, not a national blend.
Like-for-like comparison across pack sizes.
Delivery fees captured alongside item price.
Your team is told when local prices move.
Grocery and quick-commerce companies use hyperlocal pricing, promotions, assortment and availability data to price by trade area, manage their catalog and benchmark competitors store by store.
Grocery and quick-commerce prices change by store and ZIP code. A national average hides what shoppers actually see, so the data must be captured at the location level to be useful.
We cover Instacart, Kroger, Walmart Grocery, Amazon Fresh, Gopuff and DoorDash, and can add other US grocery banners and rapid-delivery platforms on request.
Yes. Grocers use the data to price competitively by trade area; CPG brands use it to track how their products are priced and stocked across grocery and q-commerce channels.
We deliver CSV, JSON and Parquet files, REST API endpoints, SFTP and cloud destinations, plus optional dashboards with hyperlocal price comparison.
Tell us your products and target ZIP codes and we'll return a sample grocery dataset within 1 business day.