Resources
Resources
Three content types, kept apart: analysis, practical guides, and definitions. This page is a hub, not a blog roll.
Articles
All resourcesAnalysis and point of view on agentic AI in FMCG distribution
Article
What van sales distribution is, and what an AI agent does in an FMCG network that a dashboard cannot
What van sales means in FMCG distribution, and how an AI agent turns invoices and beat data into a decision that business intelligence only describes.
Article
Business intelligence versus agentic AI on invoices and the FMCG supply chain
What business intelligence describes well in distribution, and what agentic AI builds as cause and action from the same invoices.
Article
How an AI agent joins primary and secondary sales in FMCG distribution
The split between sales into the distributor and sales out to retail in FMCG, and when an AI agent may read the two layers as one claim.
Guides
All resourcesPractical guides for sales and commercial managers
Guide
Start with one process, not an “AI transformation”
How to pick the first agentic workflow in distribution sales so it is defensible in ninety days.
Guide
How to read an agentic AI’s answer in FMCG distribution sales
A practical guide to reading an AI agent’s answer - claim, evidence, confidence, recommended action, and data gaps - for a manager who should not stop at the chart.
Guide
Questions a distribution sales manager should ask their AI agent every week
A short list of questions to ask your FMCG distribution AI agent every week - brand decline, customer concentration, campaigns with no effect - that cost money while unanswered.
Glossary
All resourcesDefinitions for agentic AI and sales-analysis terms
- Action SpaceThe action space is the closed list of things an agent is allowed to do. The more open that list, the harder governance becomes.
- Active CustomerAn active customer is a customer who has made at least one purchase in a defined time window. The definition of that window differs by company and must be stated explicitly.
- Agent EvalAgent eval is repeatable measurement of run quality on a known set of questions. Without it, a prompt or model change is only a feeling.
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