Market Intelligence Agent

The Market Intelligence Agent watches the competitive shelf the same way your field team does, then does the work no rep has time for. Every visit photo, every audit note, every price captured on a route becomes a structured signal: a competitor SKU's price point, a new gondola or end-cap promotion, a multibuy or temporary price reduction, a facing gained or lost. Instead of that intelligence dying in a folder of photos, the agent normalises it against the FMCG Cloud one data model — resolving the same outlet, the same SKU, the same competitor brand across every distributor and territory — so a price seen in one store can be compared to last week, to the next town over, and to your own price on the same shelf.

Because it runs on field data rather than a syndicated panel, it sees the market at the resolution that actually matters in FMCG route-to-market: the individual outlet. The agent tracks competitor pricing drift store by store, flags when a rival promotion appears in a channel or region, and surfaces where a competitor is undercutting you or buying share of shelf. It distinguishes a one-off local discount from a campaign rolling across a territory, and it timestamps the change — so commercial teams can see not just that a competitor moved, but when, where, and how fast it spread.

Crucially, the Market Intelligence Agent doesn't stop at observing. As a working agent, its output is built to trigger the next action on the same platform: a competitor price cut becomes an alert to the Revenue Growth AI category to re-score the affected promotion or pricing line; a rival promo detected on the shelf becomes context in the rep's next visit brief; a share-of-shelf loss becomes a flag the field team can act on before the next order cycle. It reads the market and hands the finding to the part of the platform that can respond.