How leading FMCG businesses are using AI to transform commercial performance — with a practical implementation guide for each use case.
AI in FMCG is no longer a competitive advantage — it is becoming a competitive requirement. The gap between companies that have successfully integrated AI into demand planning, supply chain and commercial execution and those still running pilots is widening. This playbook sets out the practical path from experimentation to operational capability.
Senior leaders and practitioners in Retail & FMCG organisations who are responsible for strategy, transformation or technology investment decisions. Written by practitioners who have delivered in this sector — not analysts who have studied it.
How AI-driven demand sensing is replacing traditional forecast models — and why the companies seeing the biggest gains are not the ones with the most data, but the ones with the clearest data governance. The three foundations every FMCG business needs before AI adds value.
From reactive to predictive: how leading FMCG businesses are using AI to identify disruption before it hits the shelf. Case studies in supplier risk, inventory optimisation and logistics intelligence — with honest assessment of what failed and why.
AI-assisted category management is generating measurable improvements in space productivity, promotional effectiveness and new product launch success rates. What the evidence shows and how to build the capability internally.
AI tools do not deliver themselves. The commercial and supply chain teams that need to change their ways of working are the same people who built the current processes. How to manage the human transition from spreadsheet to algorithm — without losing institutional knowledge.
How to structure AI partnerships and vendor relationships so that capability accumulates inside the business rather than outside it. What to own, what to contract, and how to avoid the common trap of outsourcing the intelligence.
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