Your ERP knows that 500 units of an energy bar shipped last quarter. It does not know that 300 shipped in the first four weeks and 200 trickled out over the remaining eight. That velocity curve — fast start, long tail — is the signal that shapes shelf allocation, production timing, and promotional planning. Rotation velocity per SKU, per channel, per pack format. Your ERP was never designed to see it. A purpose-built platform is.
Units Shipped Is Not Velocity
Order history tells you the total. Velocity tells you the speed. The difference matters enormously for production and category planning. An SKU that ships 500 units evenly over 12 weeks needs steady replenishment. An SKU that ships 300 in weeks one through four and slows to a trickle needs a different production cadence entirely.
Shelf velocity — measured as reorder frequency per SKU, per channel, per pack format — is the metric that reveals how products actually move. Not how many shipped in aggregate, but how fast they rotate at the shelf level. FIRE Analytics captures this from every portal reorder, every trade fair session, and every remote selling interaction.
Per Channel, Per Format, Per Account
Energy bars rotate every 8 days in convenience stores but every 14 in supermarkets. That difference is a shelf allocation signal. Multipacks rotate faster than singles in convenience but slower in drugstores. That difference is a pack format investment signal. Account A reorders twice as frequently as Account B in the same channel. That difference is a sales prioritisation signal.
Your ERP shows total units shipped per product. FIRE shows velocity curves per SKU, per channel, per pack format, per account. The granularity is the intelligence.
Velocity as a Leading Indicator
When velocity accelerates, demand is growing before the order totals confirm it. When velocity decelerates, demand is softening before the quarterly report shows a decline. Velocity is a leading indicator. Order totals are a lagging indicator. The brand that watches velocity plans ahead. The brand that watches order totals reacts behind.
After three cycles of velocity data, FIRE AI begins modelling velocity curves predictively. It forecasts when an SKU will peak, when it will plateau, and when it will decline — per channel, per format. Production planning shifts from monthly averages to weekly precision.
Velocity is a leading indicator. Order totals are a lagging indicator. The brand that watches velocity plans ahead.
The Speed Signal
