Sell-in vs. sell-through: reconciling shipments and scans

Shipments and scans will never match, and trying to force them to is a waste of a week. The question of sell in vs sell through is really a question about inventory. Sell-in is what a brand ships to distributors or retailers. Sell-through is what shoppers actually buy, as recorded by register scans. The gap between them is product sitting somewhere in between.

Reading that gap well tells you more than either number alone.

What do sell-in and sell-through each measure?

Sell-in measures orders and shipments. It's the brand's revenue line, and it responds to distributor ordering decisions, promotions, trade deals and inventory policies. It can jump when a distributor stocks up and drop when they run down inventory.

Sell-through measures consumer purchases. In retail analytics, it usually comes from point-of-sale scan data. It responds to shopper demand, shelf presence, price and availability.

Over a long period, the two should roughly track each other. Product that ships eventually sells, or gets returned or written off. Over any single month, they can diverge sharply.

Why do the numbers diverge?

Pipeline inventory, mainly. Product ships to a distributor, sits in a warehouse, moves to stores, sits in a backroom, reaches the shelf and eventually sells. Each stage holds inventory. When that inventory builds or shrinks, sell-in and sell-through separate.

Timing is another cause. A large shipment at the end of a quarter shows up in sell-in immediately and in sell-through over the following weeks.

Coverage is a third. Scan data may cover some stores or channels and not others. If a brand ships to distributors serving many store types, and the scan data covers only some of them, the two numbers describe different scopes. Compare like for like before reading the gap.

How do you reconcile them?

With weeks of supply. Estimate how much inventory built up in the pipeline, then divide by the weekly rate of sell-through.

Here's a hypothetical. In a quarter, a brand ships 12,000 units into a set of distributors whose stores are covered by scan data. Scans in those stores show 9,000 units sold. Roughly 3,000 units went into the pipeline. If sell-through runs at about 750 units a week, that's four extra weeks of supply sitting in warehouses and backrooms.

Four weeks may be fine for a new item filling shelves, or a concern for an established one. The number itself is neutral. The context decides.

Do this regularly, and the pattern becomes a leading indicator. Rising weeks of supply often precede a slowdown in orders, as distributors work through what they have.

What does the gap tell you?

When sell-in runs well ahead of sell-through for several periods, inventory is building. That can mean a successful load-in for a launch, or it can mean distributors are carrying more than they'll sell. Ask which.

When sell-through runs ahead of sell-in, inventory is shrinking. That might be healthy, as a distributor trims excess. Or it might be a warning, if stores are running out and orders haven't caught up.

The myth is that one of these numbers is the real one. Both are real. They measure different points in the chain. Using both, side by side, gives a view neither can give alone. The NRS Insights monthly reports track store-level sell-through by category, and the July 2026 same-store sales report is a recent example.