Consumer & Brand
AI Grocery Intelligence
SKU, inventory and category insights across grocery and quick-commerce — track availability, share and assortment gaps.
// SKU-level coverage across grocery & q-commerce
| sku | platform | price | stock | share |
|---|---|---|---|---|
| Tata Salt 1kg | Blinkit | ₹28 | In | 19% |
| Maggi 2-min 12pk | Zepto | ₹144 | In | 27% |
| Aashirvaad Atta 5kg | Instamart | ₹265 | Out | 14% |
Overview
What is AI grocery intelligence?
AI grocery intelligence is the structured tracking of grocery and quick-commerce products — their price, availability, images and category placement — across online platforms. It gives brands and retailers a clear view of the digital shelf, SKU by SKU.
On the digital shelf, being out of stock or missing from an assortment is an invisible lost sale. Brands rarely see, in one place, where their SKUs are available, how they are priced, and how much category share they hold versus rivals. Grocery intelligence closes that gap: it monitors availability by store and dark-store catchment, measures brand and SKU share within each category, and flags assortment gaps — products competitors carry that you do not. Captured across grocery and quick-commerce platforms in 15 markets, it turns the chaos of online retail into the structured view category and CPG teams need to act.
Capabilities
Win the digital shelf
From a single SKU to whole-category share, mapped across platforms.
SKU tracking
Price, pack size, images and availability per SKU per platform.
Stock & availability
In-stock vs out-of-stock by store and dark-store catchment.
Category share
Brand and SKU share within each grocery category.
Assortment gaps
Spot SKUs rivals carry that you don't, by market.
Content audit
Check images, titles and descriptions across listings.
Trend tracking
Watch price, stock and share shift over time.
What's included
Every grocery model ships with
Standard fields and outputs. Anything here can be extended, trimmed or customized to your scope.
Methodology
How does AI grocery intelligence work?
From listings to digital-shelf insight, in four steps.
1 · Define the shelf
You specify brands, categories and platforms.
2 · Capture SKUs
Price, availability and content are pulled per SKU.
3 · Compute share & gaps
Category share and assortment gaps are calculated.
4 · Deliver
Structured data arrives as CSV, JSON or API.
Who it's for
Get answers like
Real questions our grocery model answers for teams across the food economy.
"Are we in stock everywhere?"
Availability by store and catchment.
"Who's winning the shelf?"
Brand and SKU share per category.
"Where should we promote?"
Gaps and share by platform.
Why FoodDataScrape
Why teams choose us for this
- SKU-level price, content and availability in one feed
- Category and brand share computed across platforms
- Assortment-gap detection by market
- Free proof-of-concept on your brands
Delivery & integration
How is the data delivered?
Formats
CSV, JSON or direct API — pick what plugs into your stack. Custom schemas on request.
Refresh cadence
One-time pull, daily, weekly or real-time feeds, scoped to how fast your decisions move.
Integration
Drop into BI tools, data warehouses or apps. Webhooks and scheduled exports supported.
Questions
Frequently asked questions
Price, pack size, images, descriptions and availability per platform and catchment.
Yes — brand and SKU share within a category can be computed across platforms.
Yes — SKUs carried by competitors but missing from your range are flagged by market.
Yes — quick-commerce and traditional grocery platforms are both supported.
Yes — images, titles and descriptions can be checked for consistency.
As CSV, JSON or API on your cadence.
See your digital shelf clearly
Share your brands or categories. We'll return a free sample SKU-and-share report.
