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Retail analytics

Retail and e-commerce data analytics

We connect store, online, inventory and customer data so retailers can see what sells, where stock is tied up and which customers come back.

  • POS, e-commerce and marketplace data combined
  • Sales, margin and basket analysis
  • Inventory and replenishment reporting
  • Customer segments and retention

Retail analytics we build

Sales and margin

Performance by product, category, store and channel.

Inventory

Stock cover, ageing and stock-out reporting.

Customers

Cohorts, repeat purchase and lifetime value views.

Promotions

Measuring uplift against a sensible baseline.

How an analytics engagement runs

  1. Step 1

    Questions first

    We agree the decisions the data should support and the measures that matter.

  2. Step 2

    Data review

    We profile your sources, note quality issues and confirm what is feasible.

  3. Step 3

    Build in slices

    Pipelines, models and reports are delivered one subject area at a time.

  4. Step 4

    Hand over

    Documentation, access controls and training so your team can run and extend it.

Frequently asked questions

Can you include Shopify or marketplace data?

Yes. Shopify, marketplaces and POS systems can be loaded into the same model.

Can you work with the tools we already pay for?

Yes. We usually build on your existing cloud, warehouse and BI licences, and recommend new tools only when there is a clear gap.

Tell us what you are working on

Share your goals and current setup. We will come back with questions, a suggested approach and the next steps.

Contact Raushang4 Technology