Industry

Omni-Channel Retail & E-Commerce

Retail work crosses stores, e-commerce, stock, buying, finance, feeds and campaigns. We join those systems so people spend less time reconstructing the business and more time improving it.

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 produces data across orders, stock movements, price changes, promotions, foot traffic, feeds and campaigns. The practical challenge is rarely getting hold of it — it’s that the data arrives fragmented across channels and systems that were never designed to agree with each other, so joining it reliably enough to support a decision is most of the work.

We work across that whole surface: the warehouses where the information converges, the reporting people use, the stock and pricing tools, the integrations into finance, and the paid-media machinery around the product catalogue.

The useful opportunities are often in ordinary details: a dataset nobody uses, a feed error that keeps recurring, a reconciliation somebody performs by hand, or a conversion that means something different to marketing and finance. We start with the people living with those details.

Work we've done in omni-channel retail & e-commerce

a premium homeware omni-channel retailer

Migrating a retail BI estate from Redshift to Snowflake

The reporting estate moved warehouse in stages, with each migrated dataset compared against its Redshift output before switchover — and datasets the usage logs showed nobody queried were left behind rather than ported.

a premium homeware omni-channel retailer

Catching product-feed problems before they cost a month

Product disapprovals, demotions and price-competitiveness shifts now surface as daily alerts instead of end-of-month surprises.

an omni-channel retailer opening physical stores

What does opening a store do to online sales?

Per-store, per-segment estimates of what a new store does to online spend — with the assumptions behind each one stated, and the stores where the evidence is weaker flagged as such.

a voucher and loyalty platform serving major retail brands

Merchant analytics for a multi-brand loyalty platform

Each merchant brand now has its own redemption analytics, and the whole dashboard estate can be re-deployed across accounts and regions from version-controlled definitions.

retail and education businesses across three ad platforms

An ad-management platform with a human in the loop

Every account change is now proposed with evidence, approved by a human, validated before applying, monitored daily, and formally evaluated after two weeks.

a premium homeware omni-channel retailer

Getting the systems to agree — and surfacing the ones that don't

Sales, payments and stock now flow between systems automatically, and daily reconciliations turn month-end cross-checking into a short exception list.

Relevant services

Process Automation

Repeated work that keeps a business running while consuming skilled time—rekeying between systems, chasing files, assembling the same report, checking the same list. Often the systems you already own can hand off to each other, so the work disappears without new software being the answer.

Data Analysis & Visualisation

Getting the numbers to answer the actual question, then presenting them so the answer is obvious to the person who needs it, at the moment they need it. That includes the reporting and business intelligence—reports that build themselves, arrive on time and get read, and stand watch over everything automated so that when something drifts, you know quickly.

Decision Modelling & Predictive Analytics

Using what already happened to make better calls about what happens next, whether that is demand, stock, cash or capacity. A model earns its keep by changing a decision, not by being clever.

Data Infrastructure

The plumbing under everything else—getting data out of ageing systems and into ones that talk to each other, without losing anything and without stopping the business while it happens. Unglamorous, and the foundation for all of the above.

Paid Media & Marketing Data

Taking the mechanical load out of paid channels and commerce operations, from feed management to budget allocation, so the humans involved spend their time on strategy and judgement rather than housekeeping.