dataplane

Industry

Omni-Channel Retail & E-Commerce

Online store, physical stores, marketplaces, loyalty programmes — retail data is fragmented by design. We've spent years joining it back together for premium retailers, and turning it into stock, pricing, channel and marketing decisions.

Sound familiar?

  • Online and in-store data live in different systems, so nobody sees one customer
  • Stock and buying decisions made on instinct while the data sits unused
  • Shopping campaigns limited by feed quality nobody is monitoring
  • New stores opening without knowing what they do to the online business
  • A BI estate that grew organically and now nobody trusts or wants to pay for

Retail generates more usable data per rand of revenue than almost any other industry — orders, stock movements, price changes, promotions, foot traffic, feeds, campaigns. The problem is never volume; it’s that the data arrives fragmented across channels and systems that were never designed to agree with each other.

We work across that whole surface for omni-channel retailers: building and migrating the warehouses where the data converges, the dashboards where teams read it, the models that turn it into stock and pricing decisions, and the paid-media machinery that turns product data into efficient acquisition.

Because we’ve done this end-to-end — from warehouse migration to store-impact measurement to daily product-feed monitoring — we know where retail data projects actually fail: not in the algorithms, but in unglamorous details like dataset usage audits, feed hygiene and conversion tracking. We start there.

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