Which vintage is moving fastest in Japan? Which importer reduced allocation requests this cycle? Is Burgundy gaining or losing share against Bordeaux in on-trade? Your quarterly spreadsheet cannot answer these questions in time. FIRE Analytics shows vintage-level distribution intelligence across every market, every channel, every importer — updating in real time. From the velocity of your 2023 Chablis in London to the allocation pressure of your Prestige Cuvée in New York, every metric is visible now.
An energy bar reorders every 8 days in convenience but every 14 in supermarkets. That velocity difference is a shelf allocation signal. Your ERP shows units shipped. FIRE Analytics shows the rotation curve per SKU, per channel, per pack format — in real time.
Did Back-to-School outperform Q4 Holiday? Which channel drove uptake? Which pack format converted? Without real-time promotional analytics, every answer arrives after the budget was spent. FIRE shows uptake velocity per window while pre-orders are still open.
Health & wellness growing in drugstores but flat in supermarkets. Multipacks gaining in convenience but declining online. Your aggregate report shows a blended average. FIRE Analytics shows each channel separately — where the divergence is, how fast it moves.
Wine & Spirits moves weekly. A protein bar accelerates in convenience stores over three weeks, plateaus, then declines. Your quarterly report shows the total. It does not show when the acceleration started, when it peaked, or that it already declined before the report was published. Real-time rotation velocity shows the curve while production windows are still open.
FIRE Analytics aggregates data from every channel into one intelligence layer: portal reorder patterns, trade fair session data, remote selling interactions, and digital showroom engagement. Every category filter, every pack format comparison, every promotional commitment — structured as analytics updating in real time.
The promotional tracking alone justifies the investment. Knowing within the first week whether a promotional window is tracking above or below its pre-order target — that is the difference between confident production scaling and end-of-season discounting. FIRE provides this visibility from the first pre-order.
After one full promotional cycle, your analytics show which SKUs drive velocity per channel and which pack formats gain per segment. After two cycles, category planning starts with evidence. After three, FIRE AI predicts promotional uptake and flags underperforming listings automatically.
Reduce effort, accelerate velocity, and capture intelligence — across every channel and every promotional window.
Rotation velocity. Promotional uptake. Listing intelligence. Channel divergence. Real-time.
See the Analytics DashboardTell us about your brand, your current B2B setup, and what you are looking to improve. We will show you exactly how FIRE works for your specific situation.
No generic demos. No slide decks. A real walkthrough with your products and your industry configuration.
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