Loblaw
- Loblaws
- No Frills
- Real Canadian Superstore
- Zehrs
- Fortinos
- Your Independent Grocer
- Valu-Mart
- Provigo
- Maxi
- Atlantic Superstore
- Dominion
- Extra Foods
- Wholesale Club
Trustthedatasetbeforeyoutrustthechart
How we collect, qualify, and deliver Canadian grocery pricing data — so you know exactly what you're looking at before you act on it.
ScopeCanada-only grocery
Current cadenceUpdated weekly
HistoryDaily where available
Coverage5,200+ stores, 1.1M+ products
Monitoring prices across 189+ Canadian grocery banners
Banner coverage
Vynn.AI tracks 5,200+ store locations across 200+ Canadian retailers, grouped by parent company.
Sobeys
- Sobeys
- FreshCo
- Safeway
- Foodland
Metro
- Metro
- Food Basics
Other national banners
- Walmart
- Shoppers Drug Mart
- Giant Tiger
- Rexall
Trust rules
Freshness is always labeled
We clearly label whether you’re looking at this week’s data or historical records. You always know how fresh the numbers are.
Backed up or left out
We only publish numbers we can back up. If we can’t verify a data point, we leave it out.
Sample views are labeled
Sample views use representative products and are clearly marked. Your account data reflects your specific categories.
How to read current and historical data
Current snapshot
The weekly snapshot shows this week's shelf prices, promotions, and retailer context.
- Every view shows when the data was collected.
- Retailer, store, city, and province are always visible.
- Promotions appear alongside the current price.
- Summary metrics match the products shown.
Historical context
Daily price history is available for selected products and always shown separately from the current snapshot.
- Current and historical data are visually distinct.
- Charts state the time window being shown.
- History is included when it answers a pricing question.
- Exports include freshness and methodology notes.
What appears in Vynn.AI outputs
Pricing and promo fields
These fields support current price comparison, promotion review, and export-ready reporting.
- snapshot_date
- current_price
- base_price
- sale_price
Store and regional context
These fields explain which retailer, store, city, and region a product observation came from.
- banner_name
- store_name
- store_address
- city_or_region
Taxonomy and filtering
These fields support category browsing, product filtering, and comparison work across the dataset.
- category
- subcategory
- section
- taxonomy_confidence
Trend, trust, and delivery
These fields keep historical trends, freshness labels, and report metadata visible in dashboards and exports.
- historical_trend_summary
- promo_pressure_summary
- freshness_label
- provenance_or_observability_note
Related trust resources
Sample outputs
Role-specific examples of the reports, exports, and briefings Vynn.AI can package around the dataset.
Data schema
Business-level field dictionary for pricing, promotions, coverage, taxonomy, delivery, and trust metadata.
Exports and delivery
How sample outputs, CSV/JSON exports, and report delivery work.
Data Quality Benchmarks
Current benchmark snapshot for enterprise review materials. These values are maintained from validated production measurements and platform thresholds rather than fetched live at request time.
85.1%Brand coverage
5Nightly sweep zones
36hZone freshness threshold
48hProvider freshness threshold
Price Guard System
Every incoming price observation passes through an automated price guard before being accepted into the dataset. The guard rejects zero and negative prices outright, flags large drops for review, and preserves audit history instead of silently discarding suspicious observations. This protects aggregate outputs from obvious bad inputs.
Freshness Monitoring
Sweeps run nightly across 5 Canadian time zones — Atlantic through Pacific. Each zone and provider is monitored for freshness: zones are flagged stale after 36 hours without a successful sweep, and providers after 48 hours. Degraded states surface explicitly in the health API.
Trust the data, then act on it
Request a free sample package to see the methodology in practice with real Canadian grocery pricing data.