Which configuration is the fastest-selling in your network? Which dealer reduced allocation requests this quarter? Is BEV gaining share against PHEV in urban markets? Is the Tiguan lifecycle peaking or plateauing? Your quarterly PowerPoint cannot answer these questions in time. FIRE Analytics shows dealer-level, model-level, and configuration-level intelligence across every market — updating in real time. From the allocation velocity of your best-selling SUV trim to the powertrain transition speed per dealer tier.
An energy bar reorders every 8 days in convenience but every 14 in franchise dealers. That velocity difference is a shelf allocation signal. Your ERP shows units shipped. FIRE Analytics shows the rotation curve per SKU, per channel, per vehicle configuration — in real time.
Did Back-to-School outperform Q4 Holiday? Which channel drove uptake? Which vehicle configuration 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 fleet managers but flat in franchise dealers. 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.
Motor Vehicles moves weekly. A protein bar accelerates in independent 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, IAA session data, remote selling interactions, and digital showroom engagement. Every category filter, every vehicle configuration 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 model year 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 vehicle configurations 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 model year window.
Rotation velocity. Promotional uptake. Listing intelligence. Channel divergence. Real-time.
See the Analytics DashboardTell us about your product categories, your retail channels, and what your current data cannot show you. We will configure an analytics walkthrough with your rotation curves, promotional benchmarks, and channel intelligence.
Trusted by leading Motor Vehicles brands across snacks, beverages, health & wellness, personal care, and household products worldwide.