Data & AnalyticsAI & AutomationUK Retailer
£500–600k revenue uplift identified
£500–600k
Annual uplift identified
25–70%
Revenue from focused subset
90 days
Controlled pilot
“What should we order, in what quantity, and when — given noisy demand, margin pressure, and stock risk?”
The problem
Ordering leaned on intuition and static rules that did not reflect shifting product performance.
Years of ERP data existed but were not structured for repeatable decision experiments.
Leadership needed proof before changing purchasing behaviour at scale.
What we built
- Product and SKU performance segmentation from multi-year ERP extracts
- Revenue concentration analysis to isolate high-leverage subsets
- Pilot protocol with baselines, targets, and guardrails
- Executive narrative tying numbers to operational actions
Outcome
£500–600k annual upside quantified with a defensible method, not a slide hypothesis.
Path to scale created only after measured pilot success.
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