Which specification is the fastest-growing across your distributor network? Which wholesaler reduced orders this quarter? Are IP65 products gaining share against IP20 in industrial markets? Is the RCBO transition accelerating or plateauing? Your quarterly spreadsheet cannot answer these questions in time. FIRE Analytics shows distributor-level, family-level, and specification-level intelligence across every market — updating in real time.
An energy bar reorders every 8 days in convenience but every 14 in electrical wholesalers. That velocity difference is a shelf allocation signal. Your ERP shows units shipped. FIRE Analytics shows the rotation curve per SKU, per channel, per IP rating — in real time.
Did Back-to-School outperform Q4 Holiday? Which channel drove uptake? Which IP rating 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 project managers but flat in electrical wholesalers. 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.
Electrical Components moves weekly. A protein bar accelerates in installers 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, Light+Building session data, remote selling interactions, and digital showroom engagement. Every category filter, every IP rating 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 project 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 IP ratings 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 project 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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