FIRST-PARTY DATA / SHOPIFY + WHITEBOXX AI

Use order patterns
to plan merchandising tests.

Analyse Shopify basket combinations and order-value distributions to identify product pairings worth testing.

BUSINESS SYSTEM → APPLICATION
Revenue and commerceShopifyDated orders · line items · order values
Your business dataExternal evidence
Evidence OS + custom engineeringData services · Execution agents · Workflows
Basket analysis and merchandising test brief
Published · Updated

THE ANALYTICAL TASK

Which product combinations are worth a test?

Products that often appear in the same basket can suggest a bundle or placement test. The analysis should show how many orders support the pattern and the spread of order values.

Choose the store, dates and permitted order fields. Existing code paginates order requests and calculates basket and order-value aggregates. Check the returned orders against the store’s expected total.

THE OUTPUT

Product patterns to inform the next merchandising test.

The report shows product combinations, their frequency and order-value distributions. A proposed test specifies the merchandising change and the outcome to measure; it does not assume an uplift.

INPUTS AND DEFINITIONS

Choose the orders and product measures.

INPUTS AND DEFINITIONS
Input or measureWhat to establish
Basket supportCount eligible orders containing each combination.
Order valueRecord currency and the treatment of discounts and returns.
Test outcomeMeasure conversion, order value or margin against an agreed baseline.

CONNECTOR BUILDING BLOCKS

Validate the order extraction and calculations.

We confirm the API version, store permissions, extraction limits and pagination. Existing calculation code covers basket affinity and order-value distributions.

Margin analysis needs product costs. Multi-currency and net-revenue reviews require agreed definitions. Publishing a bundle or changing product placement is a separate store operation.

PILOT ACCEPTANCE

How should you evaluate a Shopify integration?

PILOT ACCEPTANCE
CheckEvidence to review
Reconcile the order basisCompare eligible orders and amounts with the agreed Shopify report, including the treatment of cancellations, refunds, tax and discounts.
Count the correct grainCompute basket combinations at order grain. Repeated line items must not turn one order into several independent baskets.
Propose a measurable testPresent product pairings with order counts and the order-value distribution. Frame a merchandising change as a test, not proof of incremental sales.

PLANNING THE IMPLEMENTATION

Is this a ready-to-use Shopify connection?

Whiteboxx has connector building blocks for Shopify, which must be configured and validated for the selected tenant, source objects and analytical task. The project still needs result reconciliation and any additional application, historical-data or delivery work described above.

Use the pilot evaluation guide