Services

Data Department offers seven services that share one method: start from a business decision, prove value in a short pilot, then put the solution into production with your team. Classical machine learning, operations research and generative AI are weighed equally; we choose the simplest approach that moves your metric.

Forecasting

Demand forecasting and inventory optimisation

Probabilistic demand forecasts turned into reorder points, safety stock and production plans your planners can act on.

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Pricing

Dynamic pricing for e-commerce and retail

Price recommendations based on measured demand response, set within the margin and brand guardrails you define.

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Customer analytics

Churn prediction and customer analytics

Churn, propensity and uplift models that put retention and cross-sell budget where it changes customer behaviour.

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Computer vision

Computer vision for quality inspection

Vision models and software for defect detection, counting and safety, running on your cameras and tested against your own acceptance criteria.

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Generative AI

Generative AI assistants and agents for business

RAG assistants, natural-language database questions, document AI and scoped agents, each measured against an evaluation set.

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Optimisation

Optimisation and simulation for operations

Operations research models that find the best plan under your constraints, and simulations that test how a plan holds up under uncertainty.

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AI strategy

AI strategy and fractional Chief AI Officer

Senior AI leadership without a full-time hire, covering roadmap, vendor and architecture reviews, governance, training and team building.

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30 min

Not sure which fits?

Tell us the decision you want to improve. In a free 30-minute review we tell you which approach fits, or whether AI fits at all.

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Not sure where AI would pay off? Ask us.

Book a free 30-minute AI opportunity review. A senior consultant looks at the decision you want to improve and tells you honestly whether AI fits, what data it needs and what a first step would look like. We reply within two working days.

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