Retail & E-commerce
Advisory programmes that identify where AI creates measurable impact on retail revenue, margin, and customer retention — and deliver a phased implementation plan with commercial validation.
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Years in production
Industry overview
Retail AI advisory that assesses commercial and operational data maturity, prioritises use cases by revenue and margin impact, and produces a phased implementation plan backed by business cases the board can approve.
At a glance
Retailers face a wide choice of AI investment options — personalisation, pricing, forecasting, visual search, in-store automation — but limited budgets and implementation capacity. Choosing the wrong starting point creates a failed pilot that sets back the AI programme by years. ArrayMatic advises on where the commercial impact is highest and the implementation risk is lowest — then delivers on the prioritised use cases.
We audit commercial performance data to identify the highest-value improvement opportunities — typically in inventory accuracy, promotional effectiveness, or customer retention — and model the revenue and margin impact of AI addressing each. Use cases are scored on impact, data readiness, and implementation complexity. We produce detailed business cases and phased implementation plans for board approval. Where clients want delivery alongside advisory, we move from plan to engineering within the same engagement.
Key capabilities
Engagements are scoped to your business context — these are the core capabilities we bring to retail & e-commerce clients.
Commercial data audit for highest-impact AI opportunity identification
Use-case scoring by revenue impact, data readiness, and complexity
Board-ready business cases with financial modelling
Technology and platform vendor evaluation and selection
Phased implementation roadmap with 90-day quick win identification
Programme governance and commercial outcome measurement
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