Which SKU is moving fastest in the corporate segment? Which dealer reduced their reorder frequency this month? Is recycled paper gaining share against standard? Is the ergonomic range growing in the right accounts? Your quarterly spreadsheet cannot answer these questions in time. FIRE Analytics shows dealer-level, category-level, and SKU-level intelligence across every segment — updating in real time. From the velocity of your best-selling pen in small dealers to the reorder prediction of your largest corporate account, every metric is visible now.
An energy bar reorders every 8 days in convenience but every 14 in corporate accounts. 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 size — in real time.
Did Back-to-School outperform Q4 Holiday? Which channel drove uptake? Which pack size 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 resellers but flat in corporate accounts. 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.
Office Supplies moves weekly. A protein bar accelerates in small dealers 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, Paperworld session data, remote selling interactions, and digital showroom engagement. Every category filter, every pack size 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 seasonal 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 sizes 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 seasonal 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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