shopify-admin-frequently-bought-together

Purpose

Analyzes order history to discover which products are frequently purchased together. Calculates co-occurrence frequency, lift scores, and confidence metrics to generate data-driven cross-sell recommendations and bundle candidates. Read-only — no mutations.

Prerequisites

• Authenticated Shopify CLI session: shopify store auth --store <domain> --scopes read_orders,read_products
• API scopes: read_orders, read_products

Parameters

Parameter	Type	Required	Default	Description
store	string	yes	—	Store domain
days_back	integer	no	180	Order lookback window
min_support	integer	no	3	Minimum co-occurrence count to report a pair
max_results	integer	no	25	Maximum product pairs to return
group_size	integer	no	2	Pair size: 2 for pairs, 3 for triplets
collection_filter	string	no	—	Limit to products in a specific collection
format	string	no	human	Output format: human or json

Safety

ℹ️ Read-only skill — no mutations are executed. Safe to run at any time.

Workflow Steps

1. OPERATION: orders — query Inputs: query: "created_at:>='<NOW - days_back days>'", first: 250, select lineItems { product { id, title } }, pagination cursor Expected output: All orders with product-level line items

2. For each order with 2+ distinct products, generate all product pair combinations

3. Build co-occurrence matrix:

   • Support = number of orders containing both products
   • Confidence(A→B) = P(B|A) = support(A,B) / support(A)
   • Lift = confidence(A→B) / P(B) — lift > 1.0 means positive association

4. OPERATION: products — query (enrichment) Inputs: Product IDs from top pairs for titles, images, prices Expected output: Product details for display

5. Rank pairs by lift score (descending), filter by min_support

GraphQL Operations

# orders:query — validated against api_version 2025-01
query OrderLineItems($query: String!, $after: String) {
  orders(first: 250, after: $after, query: $query) {
    edges {
      node {
        id
        lineItems(first: 50) {
          edges {
            node {
              product { id title }
              quantity
            }
          }
        }
      }
    }
    pageInfo { hasNextPage endCursor }
  }
}