Quick answer
To forecast demand through Chewy, project both the distributor's replenishment draw and the sell-through at the retailers it serves, and plan production to protect fill rate. Connecting Chewy data to a live model ties downstream demand to cash.
What Chewy data brings to inventory forecasting
Chewy is the largest online pet retailer, buying inventory and driving heavy autoship (subscription) demand, with purchase-order and sell-through data through the integration.
Forecasting for Chewy resembles a 1P relationship: anticipate Chewy's replenishment POs and the steady autoship demand behind them, and protect fill rate.
| Chewy data | What it drives in the forecast |
|---|---|
| Distributor draw / POs | DC replenishment demand |
| Downstream retail sell-through | True consumption |
| Fill-rate performance | Service level and deductions |
| DC inventory | Channel coverage |
Forecasting through a distributor
With a distributor, you ship into its DCs and it fills downstream retailers. The forecast has to project both the distributor's replenishment draw and the sell-through at the retailers it serves, and plan fill rate to avoid deductions.
Formula: Weeks of supply at retail = units on shelf and in the retailer's DCs / average weekly sell-through (units per store per week x active stores). Replenishment timing works back from the retailer's reorder cadence and your production lead time.
The trap is mistaking a distributor's one-time stocking order for real demand. Watch downstream retail sell-through so you produce to consumption, not to a warehouse fill that will not repeat.
From Chewy data to a cash-aware forecast
Retail sell-through is only actionable when it connects to what you must produce and the cash it consumes. Drivepoint pulls Chewy data through its Chewy integration into a live, Excel-native model, turning store-level velocity into forward weeks of supply, replenishment timing, and the cash each production run requires.
For a wholesale brand, that connection answers the real question before you commit a purchase order: can we afford it? It is the same discipline that turned an Oats Overnight timing decision into a $4M EBITDA gain. For the underlying method, see our guide to purchase order forecasting.