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Product reports

The Products report group lives under P2Lab Stats → Products and currently exposes two product-side reports: cross-sell pairs and a per-product drill-down.

Stock reports (overview, low stock, dead stock, overstock, depletion risk) also live under P2Lab Stats → Products in the routing but are documented separately on the Stock reports page.

Every report follows the common chrome — chart, sortable table, filter sidebar, profile sidebar, date range with previous-period comparison.

Discovers products that are frequently bought together in the same order. The classic association-rule analysis used by recommender systems.

For each pair of products the report computes:

  • Support — share of orders that contain both products.
  • Confidence — given that order contains product A, the probability it also contains B.
  • Lift — how much more likely the pair is than chance alone (1.0 = independent, >1.0 = positive association).
  • Frequency — raw count of orders that contain the pair.
  • Basket size distribution — average basket size when the pair appears together.

Filters specific to this report:

  • Minimum support — drop pairs that appear in too few orders.
  • Minimum confidence — drop pairs with weak directional signal.
  • Minimum lift — drop pairs that aren’t more likely than chance.

Use cases:

  • Power product-detail-page recommendations.
  • Identify natural bundles to merchandise as a combo offer.
  • Spot accessory dependencies (e.g. cameras → memory cards).

The single-product timeline. Pick a product and see everything about it in one place.

The page is organised into stacked sections:

Revenue, orders, units sold and price + stock over the selected range. Price and stock series come from the daily product snapshots — useful for spotting price-change or stock-out effects on sales.

The same product sliced multiple ways:

  • By sales channel — where the product sells.
  • By country / region — where buyers live.
  • By customer group — which customer group buys it most.
  • By time — day-of-week / hour patterns for this product.

Products most frequently bought together with this one — the cross-sell pair analysis scoped to a single product.

If the product has variants, each variant row is broken out with its own revenue, units, AOV and current stock.