We Had 8 Years of Inventory in the Warehouse. It All Expired.
There's a version of this story that ends with a clearance sale. A deep discount, some creative bundling, maybe a B2B liquidation channel that moves the excess and recovers some margin.
This isn't that story.
The brand we're describing had products that were regulated. You can't slash the price on a regulated health product and put it on a shelf at TJ Maxx. You can't donate it to a food bank or ship it overseas. When it expires, there's one option: destroy it.
By the time we got involved, the founder had somewhere between seven and eight years of inventory sitting in a warehouse. Some of it had already expired. All of it was going to.
The cash that went into producing that inventory was enough to have funded a full year of marketing for the brand. Instead, it went into pallets that got hauled away.
Here's what happened — and what it means if you're running a founder-led brand.
How You End Up With 8 Years of Inventory
It doesn't happen all at once. That's the first thing to understand. No founder sits down and says "I'd like to produce enough product to last until 2034."
It happens in layers.
Layer 1: The launch forecast comes from optimism, not data.
The brand had a new product line they believed in. The internal team believed in it. The marketing team believed in it. That belief turned into a production forecast — and the forecast was built on what the team wanted to happen, not on any real demand signal.
There was no historical velocity to reference (it was a new product). There was no comparable product in their line to use as a benchmark. There was no analysis of the addressable market, realistic retail velocity by door, or repeat purchase rate for this category.
There was enthusiasm. And enthusiasm, when it becomes a production number, has a way of overstating demand by a factor of two or three.
Layer 2: MOQs pushed the number higher.
When you're working with a co-manufacturer, you don't always get to produce exactly what you need. MOQs — minimum order quantities — set a floor. If your co-man's MOQ is 10,000 units and your realistic 6-month demand is 4,000, you're already starting with 2.5 times what you can sell.
Founders often accept this without adjusting the rest of the plan. They absorb the MOQ and assume the extra inventory will eventually move. Sometimes it does. In this case, it didn't.
Layer 3: Sales came in under the original forecast — and nobody adjusted production.
The product launched. The sell-through was slower than expected. The right response at that point is to stop and ask: what does this tell us about the demand assumption we built the production plan on? Are we off by 20%? 50%? More?
That analysis didn't happen. Instead, the next production run was placed based on the original forecast. Then the next one. Each run added more inventory to a pile that wasn't moving fast enough to justify what was already there.
By the time anyone looked at the full picture — total on-hand plus inbound production — the math was brutal.
Why Regulated Products Are Especially Unforgiving
For most consumer products, overstocking is painful but recoverable. You run a promotion. You sell to a liquidator at cost. You donate excess to reduce the tax burden. You find a way to convert the inventory back to cash, even at a loss.
Regulated products don't give you those options.
Health products, certain wellness supplements, medical devices, and other regulated categories have strict rules about how they can be sold, to whom, at what price, and in what condition. Discounting below a certain threshold can violate compliance requirements. Donating to certain channels isn't permitted. Exporting requires additional regulatory clearance.
When the product expires, the options collapse to one: dispose of it under regulatory supervision. Which means paying to destroy inventory you already paid to produce.
The loss isn't just the margin on units you couldn't sell. It's the full cost of goods for every unit that went into a dumpster.
What a Demand Plan Would Have Caught
A working demand plan doesn't require perfect data. It requires honest data.
In this case, three questions would have changed the outcome:
What's the realistic repeat purchase rate for this product?
A demand plan for a consumer product has to account for how often customers come back. If this is a product people buy once every six months, your monthly velocity is constrained by that cycle — no matter how many new customers you acquire. If the repeat rate is low (because the product lasts a long time, or because it's a one-time-use item), your annual demand ceiling is lower than your launch optimism suggests.
Is this a crowd-pleaser or an internal fan favorite?
One of the clearest patterns in demand planning is the gap between what the team loves and what the market buys. Internal teams are self-selected enthusiasts. They're not representative of the broader consumer. When a product generates intense internal excitement but modest external demand, the forecast gap can be significant. The question to ask before a launch is: what's our evidence that the people who aren't already fans of this brand will buy this product at this price?
What happens if the launch comes in 30% below plan?
Build the downside scenario before you place the production order. If the product sells 30% below your base forecast, what does your inventory position look like at month 6? Month 12? Month 18? If the answer is "fine, we'd have a bit of excess but nothing we couldn't manage," that's a healthy position. If the answer is "we'd have two years of inventory on hand," that's a signal to reduce the initial production run — regardless of MOQ pressure.
Most brands don't run this scenario because nobody wants to say out loud that the product might underperform. But the demand planner's job is to say the uncomfortable thing before it becomes expensive.
The Real Cost
The obvious cost is the destroyed inventory: units produced, units stored, units disposed. That number was substantial.
But the less visible cost is what that cash didn't do.
Capital that went into overproduced inventory couldn't go into customer acquisition. It couldn't fund the next product launch. It couldn't cover the cash gap during a slow quarter. It sat in a warehouse, accruing storage fees, until it had to be hauled away.
For a founder-led brand at the scale this company was operating, that cash represented something close to a full year of marketing budget. A year of paid social, influencer programs, retail demos, and sampling events that never happened because the money was tied up in pallets.
That's the real cost of a demand plan that was built on hope instead of analysis.
What to Do Differently
If you're about to place a significant production run — especially on a new product or a new format — ask these questions before you finalize the order:
- What's my unit-level demand signal, not just my dollar target? Revenue goals are not demand forecasts. Work backward from a realistic velocity assumption to an actual unit number.
- What does the downside scenario look like? Build the bear case. If demand comes in at 60% of plan, how many months of inventory do you have on hand? What's the expiration date, and does that math work?
- What are my options if this product doesn't move? Before you produce, know your exit options. If you're in a regulated category, those options are narrower than you think.
- **Is this MOQ driving my inventory decision, or is my demand driving it? **MOQs are supplier constraints. They should inform your negotiation with the co-man, not set your production target. If your demand doesn't justify the MOQ, either negotiate it down, find a different supplier, or produce less frequently at higher cost — but don't let the MOQ override a realistic demand view.
- Has anyone on this team said the product might underperform? If the answer is no, that's a red flag. The best planning processes have someone whose job it is to stress-test the assumptions. If everyone in the room is optimistic, the forecast will be too.
The brand in this story recovered. It took time, and it required rebuilding the planning process from scratch. But the founders understood, after the fact, that the cost of the mistake wasn't the production run. It was the absence of a process that would have asked the hard questions before the order was placed.
Worried you might be heading toward a similar situation?
Izba's free 20-minute demand planning audit looks at your current inventory position, your production assumptions, and your demand forecast — and tells you where the gaps are before they become expensive.
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