We work with UK FMCG and retail brands where the data should be driving decisions — but isn't yet.

You’re listed in Tesco, Sainsbury’s, Waitrose, or Ocado — maybe all four. But your sell-through data arrives weeks late, your promotional spend is going in without clear ROI, and your rate of sale is something you piece together from distributor reports rather than know in real time. Meanwhile, private label is gaining share in your category and the buyer wants a stronger incremental case at every range review.

UK grocery is concentrated. Eight retailers control the majority of consumer spend. Challenger brands winning and holding shelf space need the same commercial visibility that the big players have — but they don’t have enterprise BI teams, Nielsen contracts, or a head of category analytics. They have ambitious commercial directors, spreadsheets that’ve outgrown themselves, and decisions that need to be made faster than the data currently allows.

We work with UK FMCG brands to close that gap. Connecting POS, promotional, and distribution data into a single commercial picture. Building rate-of-sale tracking that surfaces distribution gaps and velocity issues before the buyer raises them. Engineering the promotional ROI analysis that makes your next range review conversation unambiguously evidence-based — not a slide deck of optimism.

Multi-channel complexity, growing SKU counts, and returns eating into margin. Boots, Space NK, Cult Beauty, and your own DTC all telling a slightly different story — and nobody in the building with the time to reconcile them. You’ve outgrown basic analytics but you’re not ready for (and don’t need) an enterprise implementation that takes six months and costs six figures.

Growth was strong two years ago — now it’s flattened and nobody can pinpoint exactly why. The UK beauty market is shifting fast: Boots’ loyalty data is a competitive weapon, Ocado Beauty is growing, and the brands winning are the ones making faster, sharper commercial decisions. The answer isn’t another dashboard — it’s clarity on which decisions are being made blind.

We work with beauty and wellness brands to diagnose where growth or margin is leaking and engineer the specific fix. Channel mix decisions. Returns analysis that goes deeper than the P&L. Customer behaviour patterns your current tools can’t surface.

Subscription plus retail mix getting harder to manage. Pets at Home range reviews getting more competitive. Category expansion creating margin pressure instead of momentum. The UK pet care market is a £3B+ category and still growing — but challenger brands are finding that growth in the market doesn’t automatically translate into growth on the shelf.

Territory decisions being made on instinct rather than evidence. Vet channel vs retail channel economics unclear. D2C acquisition costs rising while retention data sits in a CRM nobody has time to properly analyse. We work with pet care brands to identify the specific commercial levers being missed: where expansion is diluting margin instead of building it, and where the data that would change the next decision currently doesn’t exist in usable form.

Seasonal volatility making forecasting a fiction. Return rates eating margin faster than sales can replace them. Channel fragmentation between DTC, ASOS, wholesale accounts, and own-retail — each with its own data format and none of them talking to each other. The P&L says one thing but the real story — after returns, fulfilment, markdown, and discounting — is different.

We work with mid-market UK fashion brands to cut through the noise: engineering clarity on true margin by channel, building sell-through and markdown models that reduce end-of-season exposure, and identifying the commercial decisions that are costing money because they’re being made on instinct rather than evidence.