Resourcesthatexplaintheproduct,data,andoutputs

Use these pages to understand what Vynn.AI shows, what teams can export, how data freshness works, and how the data supports day to day pricing and promotion work.

Core resources

Sample outputs

Role-specific examples of the reports, exports, and briefings Vynn.AI can package around the dataset.

Open resource

Data schema

Business-level field dictionary for pricing, promotions, coverage, taxonomy, delivery, and trust metadata.

Open resource

Exports and delivery

How sample outputs, CSV/JSON exports, and report delivery work.

Open resource

Methodology

How we collect, qualify, and label grocery pricing data. Banner coverage, freshness rules, and trust framework.

Open resource

Evaluate the data for your project

Canadian grocery price history: request a retailer SKU, interpret returned dates and keep different banners separate.

Canadian grocery retailer coverage: inspect dated configured membership and check observation volume for your intended scope.

What the platform covers

These are the main areas customers use Vynn.AI for when reviewing current grocery data.

Price Comparison

Compare observed product prices in the current qualified coverage. Filter by brand, category, or province. Export the comparison before your next buyer meeting.

  • Current, regular, and sale price on the same row
  • Cross-banner comparison for the same SKU
  • Per-unit pricing for pack-size comparison

Promotion Monitoring

Review observed promotions, discount depth, and sale windows from the active reference panel.

  • Promo text, badge type, and discount depth captured
  • Sale timing and promotional pressure by category
  • Competitor promotion alerts with email notifications

Reports & Exports

Weekly CSV, PDF briefs, JSON feeds, or REST API. Same structure every cycle — paste into your spreadsheet, feed into your model, or brief your exec team.

  • Available fields depend on the scoped output
  • Coverage notes can be included in scoped outputs
  • 4 export formats: PDF, CSV, JSON, API

Clear data freshness

A scoped output can identify its snapshot date and any retained history included.

  • Weekly snapshot date on all key views
  • Historical daily records kept separate from current coverage
  • Confirm freshness guidance for the selected output

Outputs users can actually share

  • Weekly price and promotion summaryWeekly
  • Competitor price comparison exportScheduled delivery
  • Watchlist change digestWeekly or account-linked

See full sample outputs

Ready to explore the platform?

Get started with a free sample package or book a walkthrough with our team.