Traditional replenishment is reactive — you wait until the buyer remembers to reorder. Smart replenishment is predictive — the platform knows when each buyer needs to replenish, suggests the right products at the right time, and learns from every cycle to get more precise.
Buyers reorder when they remember — not when they need to. A buyer with an 8-day consumption cycle who orders every 14 days has 6 days of stockout risk every single cycle. The gap between need and action costs revenue on both sides.
Generic "time to reorder" emails ignore that every buyer has a different consumption velocity. A high-frequency account needs weekly prompts. A quarterly buyer needs seasonal suggestions. The same message to both loses both.
When a buyer delays replenishment too long, the stock runs out. An empty stock invites a competitor's product. By the time your system notices the reorder gap, the listing may already be lost to a substitute brand.
Watch how FIRE tracks each account's replenishment status in real time.
2 accounts need replenishment suggestions today. 1 account is overdue and at risk of listing loss. FIRE sends personalised baskets to due accounts automatically and alerts your team about overdue accounts.
FIRE learns each buyer's consumption rhythm from real reorder data. An 8-day buyer gets suggestions on day 7. A 21-day buyer gets suggestions on day 19. Timing adapts to the buyer, not to a calendar.
Suggested baskets are not copies of the last order. They adapt to velocity trends, seasonal patterns, and promotional aftereffects. The buyer sees what they need right now — not what they needed last time.
When an account misses their predicted replenishment window, FIRE flags it immediately. Your team sees which accounts are at risk of stock gaps — and can intervene before a listing is lost to a competitor.
Replenishment rhythm changes with seasons. Summer velocity differs from winter. Promotional windows create demand spikes. FIRE adjusts suggestions based on cycle-over-cycle patterns — not static intervals.
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