Doudlah Farms' Amazon channel has grown faster than its operational infrastructure can support. January 2026 sales hit $136,000 (~$6,100 peak single day), and the current system — manual inventory tracking, garage-based packing, and reactive shipment preparation — is creating stockout risk that directly damages search rankings and long-term revenue.
This article documents the diagnosed problems, the proposed system redesign, and the infrastructure decisions needed to support continued growth.
The current model is reactive: Karly calculates what's needed, sends Jason a packing list, Jason packs it, and it ships. At $20k/month this was manageable. At $136k/month — trending toward a truckload per week — it creates compounding failures:
The proposed model is proactive: pack continuously for inventory, maintain a 2–3 month buffer of packed product, and fulfill orders by pulling from that buffer rather than packing to order.
"We shouldn't be packing to ship. We should be packing for inventory... somebody ought to be packing every day, five days, seven days a week."
— Mark Hope
Running out of stock is not a temporary sales gap — it triggers algorithmic demotion that takes weeks to recover from:
| Product | Pre-Stockout Rank | Post-Stockout Rank | Recovery Status |
|---|---|---|---|
| Organic Black Beans | #1–2 | #30 | Partially recovered (~#5) |
| Yellow Cornmeal | Top position | Major drop | Recovering |
This makes inventory continuity a ranking protection strategy, not just a fulfillment concern. A 2–3 month packed buffer is the minimum needed to absorb demand spikes and shipping delays without going out of stock.
Amazon Warehousing & Distribution (AWD) was trialed but rejected due to:
Current approach: Split each order into 10+ smaller shipments directed to different Amazon fulfillment centers. This saves roughly $4,000 per shipment cycle ($4k vs. $8k) but is labor-intensive and will become unmanageable at higher volumes.
The shipping strategy should be revisited as volume grows, but AWD is not the near-term solution.
Consider dropping 25 lb bags from Amazon:
- Lower margin per pound (~$4/lb) vs. 5 lb bags (~$6/lb) and 1 lb bags (highest margin)
- Slower velocity and harder to pack/stage
- Focusing on 1 lb and 5 lb SKUs concentrates packing effort on highest-return products
The 2-car garage cannot support current volume. A dedicated space is needed for:
- Continuous packing operations
- Staging 40–60 pallets of finished inventory
- Loading dock access for outbound truck shipments
Priority 1 — Edgerton Warehouse Rental
Doudlah Farms already stores grain at the Edgerton warehouse. The goal is to negotiate a dedicated section with:
- 40–60 pallet positions
- Access to existing dock doors (doors 19 and 20 are current Doudlah positions)
- Space for a packing setup (low power requirement)
Note: Another company has rented half the Edgerton warehouse, so available space needs to be confirmed. Jason to scout and arrange a walkthrough with Eric (warehouse manager) on Friday.
Priority 2 — New Building Phasing
An 8,000 sq ft building is planned on the farm property but delayed until ~June due to financing (concrete pour pushed to late March). The recommendation is to phase construction so the packing area comes online first, before the full build is complete.
See also: [1] for full infrastructure timeline.
The inventory system decisions are downstream of a deliberate channel prioritization:
| Channel | Margin | Notes |
|---|---|---|
| Amazon (1 lb / 5 lb bags) | ~35% | Premium price position; ~$2/bag profit |
| Retail (e.g., Woodman's) | 4–5% | Plus slotting fees; not core business |
| BeanVIVO / Valley Foods (bulk) | Near break-even at $1.10/lb | Useful for clearing surplus; not a growth channel |
Amazon's margin advantage is significant enough that protecting Amazon inventory takes priority over fulfilling bulk wholesale orders. The 77,000 lb Amazon holdback on black beans is a direct expression of this strategy.
For the KAHI/Wild Oats private-label opportunity (meeting Feb 19), the same logic applies: the deal only makes sense if it clears margin targets. See [2] for the broader framework.