The Order With the Lower Unit Price Cost the Customer More

The customer had found a better price.

At least, that's what it looked like on the quotation.

The difference was about $0.80 per piece.

For a 3,000-piece order, that meant roughly $2,400.

The customer was happy with the saving.

We understood why.

If you are buying thousands of garments, saving $0.80 on every piece sounds like a very good reason to change suppliers.

There was just one problem.

They didn't actually need 3,000 pieces.

The order was for a heavyweight T-shirt in three colours.

The customer was an established brand, but this was a new design.

They had some sales history from similar products, so they had a rough idea of what might sell.

The original plan was around 2,000 pieces.

Then they received another quotation.

The supplier offered a much lower unit price if they increased the quantity.

The numbers looked attractive.

At 3,000 pieces, the unit price came down.

So the customer started thinking about ordering more.

This is where MOQ can become a little misleading.

A lower unit price is easy to see.

The extra inventory is harder to see.

We asked the customer one question:

"Are you confident you can sell the additional 1,000 pieces?"

They didn't have a clear answer.

They thought they probably could.

But "probably" is not quite the same as knowing.

Especially when the 1,000 extra pieces are spread across three colours and several sizes.

We broke the numbers down by colour and size.

That was when the situation became more obvious.

The black T-shirt was expected to sell well.

The grey one looked reasonable.

The third colour was more experimental.

If the customer ordered 3,000 pieces evenly across the three colours, they would end up with a significant amount of inventory in a colour they had never sold before.

The unit price would be lower.

But the inventory risk would be higher.

There was another problem.

The sizes could not simply be divided equally.

A 300-piece order doesn't mean 50 pieces of every size.

Most brands have a size curve.

Some sizes sell faster.

Some move slowly.

If the customer ordered too many pieces based on a simple average, they could end up with plenty of the wrong sizes.

The factory would consider the order complete.

The customer would still have a stock problem.

We suggested a different approach.

Instead of chasing the lowest possible unit price, we looked at the total order.

The customer could keep the quantity closer to what they actually expected to sell.

We also discussed whether the colours needed to have exactly the same quantity.

They didn't.

The strongest colour could carry more of the order.

The experimental colour could start smaller.

The unit price was slightly higher.

That part was unavoidable.

But the total amount of money tied up in inventory was lower.

More importantly, the customer wasn't taking the same level of risk.

They could see how the new design performed before committing to another large quantity.

The customer eventually chose the smaller order.

It wasn't the cheapest price per piece.

But it was the cheaper decision for the business.

That distinction is easy to miss when comparing supplier quotations.

We see something similar with MOQ discussions quite often.

Customers naturally ask:

"What's your lowest price?"

It's a reasonable question.

But sometimes the better question is:

"What's the quantity that makes sense for this product?"

Those aren't the same thing.

Imagine two options.

Supplier A offers a hoodie at $10 with an order of 1,000 pieces.

Supplier B offers it at $9.20, but requires 2,000 pieces.

Supplier B looks cheaper immediately.

But you are spending $18,400 instead of $10,000.

If you sell everything quickly, the lower unit price may be worthwhile.

If 600 pieces sit in your warehouse for months, the calculation changes.

Inventory has a cost even when it doesn't appear on the factory quotation.

There is warehouse space.

Cash tied up in stock.

Packaging.

Shipping.

Potential discounts.

Unsold colours.

Slow-moving sizes.

And eventually, the possibility of having to clear old inventory.

None of these appear beside the unit price.

This doesn't mean ordering more is always a bad idea.

For a proven product, a larger order can make perfect sense.

If a brand already knows the style sells consistently, lowering the unit cost can improve margins.

The problem is using the same logic for an untested product.

A product that has never been sold carries a different level of risk.

We've also seen the opposite situation.

A customer orders too little because they are afraid of inventory.

The unit cost becomes unnecessarily high.

In that case, increasing the quantity can make sense.

The goal isn't always to order less.

It's to find the point where the unit economics and inventory risk make sense together.

That is why we don't think MOQ should be treated as just a number on a quotation.

It is a business decision.

The right quantity depends on the product, the sales history, the number of colours, the size range, the launch plan, and how much inventory the brand is comfortable holding.

Sometimes 3,000 pieces is the smart order.

Sometimes 1,000 is.

And sometimes the best decision is somewhere in between.

The customer from this project eventually sold through the first production run faster than expected.

They came back for another order.

This time, the quantity was larger.

And the unit price was lower.

That was a much better time to chase the lower price.

They had real sales data.

They knew which colour worked.

They knew which sizes moved fastest.

They weren't guessing anymore.

The interesting part is that the customer eventually got the lower unit price they wanted.

They just didn't get it by ordering more on day one.

They earned it by understanding the product first.

That's the difference between getting a cheaper price and making a cheaper decision.

A lower unit price looks good on a quotation.

A lower total cost is what matters after the goods arrive.