By Elie Dufeu, CTO & Co-Founder, Metreecs. Published 20 August 2026.

Backorder meaning: what it is and how retailers should handle it

A backorder means a customer has purchased a product that is currently out of stock, with a confirmed date for when it will ship. Unlike a plain out-of-stock listing, a backordered item still shows up in the order system with a promise attached: more units are coming, and this order is in line for them.

If you have ever gotten an email that says "expected ship date: 3 weeks," you have seen this from the customer side. If you run a retail operation and watch backorder rates creep up on your bestsellers, you are seeing the same event from the other direction, and it usually points to something upstream in the forecast. This guide covers both angles: how backorder differs from out of stock and pre-order, why backorders happen, and how retailers keep the rate low without starving customers of what they actually want.

Key Takeaways

• A backorder is an out-of-stock item with a confirmed restock and ship date; a plain out-of-stock listing has no confirmed date at all.
• Poor demand forecasting is the single largest driver of stockouts and the backorders that follow, ahead of ordering errors, warehouse delays, and supplier issues.
• McKinsey research on AI-driven demand forecasting found it can cut lost sales from product unavailability by as much as 65% when applied at the product and location level.
• Brands and retailers could recapture an estimated $22 billion in sales lost to product unavailability, according to research cited by the Grocery Manufacturers Association.
• A rising backorder rate on a specific product usually points to a safety stock or lead time problem, not a warehouse problem, and the fix starts with the forecast.

What does "backordered" mean for a customer?

When an online order shows as backordered, the retailer has already sold through its available stock of that product but expects a new shipment by a specific date. The system reserves a unit for that order once the shipment arrives, and the customer is told roughly when to expect it.

Take Renata, who ordered a specific shade of a popular skincare serum three days before a holiday weekend. Her confirmation email read "ships in 12 to 15 days" instead of the usual two. The brand had sold through its stock faster than planned after a social media mention, and a new production batch was already scheduled. Renata got her order, later than usual, and the brand kept the sale instead of losing it to a competitor.

That is the difference a confirmed date makes. A retailer doing this well is telling the customer: more is coming, and your spot is already held. See how AI-powered demand forecasting works at the product and location level, where most of these gaps start.

Backorder vs. out of stock vs. pre-order

These three terms get used interchangeably, but they describe different situations for both the retailer and the shopper.

The practical distinction that matters most for planning teams: a backorder assumes the product has a track record and a demand forecast behind it, while a pre-order is closer to a new product introduction with a manufacturing timeline rather than a replenishment cycle. Out of stock, by contrast, is the state you end up in when neither confirmed supply nor a forecast is in place, and it is the one that costs the most in abandoned sales.

What causes backorders in retail?

Backorders start with a stockout, and stockouts are rarely a single-cause event. Industry data on retail stockouts consistently points to the forecast, not the warehouse, as the leading factor: poor demand forecasting accounts for roughly a third of stockouts, ahead of ordering errors, distribution delays, supplier issues, and in-store process failures combined.

Demand forecasts miss the signal that matters. A category-level or last-year-plus-growth forecast smooths over the exact spikes that create backorders: a product that sells steadily most weeks and then triples in a single week because of a promotion, a viral mention, or a seasonal shift the flat forecast never saw coming. The hidden cost of inaccurate sales forecasts breaks down how this error compounds over a season.

Safety stock is set too thin, or set the same way for every product. Products with volatile, hard-to-predict demand need a bigger buffer than steady sellers. When every product in a category gets the same safety stock rule, the volatile ones run out first and that is where the gap opens up.

Lead times get longer without the reorder point adjusting. A supplier that used to ship in three weeks and now ships in six has effectively changed the math on when to reorder. If nobody recalculates the reorder point, the retailer keeps ordering on the old schedule and runs out before the new shipment lands.

Across Metreecs' work with footwear and home décor retailers, the backorder rate on a single product line is often the first visible symptom that a supplier's lead time has quietly stretched out, long before anyone flags it in a supplier review. It shows up in the order queue before it shows up in a report.

Is backordering good or bad for a retailer?

Neither, by itself. A backorder is a tool, and whether it helps or hurts depends on how it is used.

Where it helps: a confirmed backorder date keeps a sale that would otherwise be lost outright. Research on consumer behavior around stockouts shows that a meaningful share of shoppers, when faced with a plain "out of stock" message and no date, simply buy the same product from a different retailer instead of waiting. A real, honored date like that gives the retailer a chance to keep that customer instead of handing the sale to a competitor.

Where it hurts: if the promised date keeps slipping, or if backorders become the default way a bestseller is sold rather than an occasional buffer, trust erodes fast. A customer who gets burned once on a promise like that is far less likely to order ahead again, which pushes future demand toward instant-availability competitors.

Diego, a planner at a mid-sized electronics accessories retailer, noticed the backorder rate on a bestselling charging cable climb from roughly one in twenty orders to one in six over eight weeks. The product hadn't gotten more popular; the supplier's lead time had quietly grown from three weeks to five. Once Diego recalculated the reorder point against the new lead time, the rate on that product dropped back to its usual range within a month, without adding a single unit of extra safety stock elsewhere.

One mistake we repeatedly see is treating a chronically backordered product as a merchandising win because it "keeps selling," when the underlying signal is that the safety stock and reorder point for that product have not been recalculated in months. The sales are real, but the margin for error is gone, and a single supplier delay turns a manageable backorder into a real stockout. From stockouts to overstock: can AI be the balancing solution? covers this exact tradeoff in more depth.

How to reduce backorders

The goal is not zero backorders. A retailer with zero backorders is usually carrying too much safety stock across the board, which shows up as excess inventory and markdown risk elsewhere. The goal is keeping the rate occasional and predictable rather than chronic on the same products. Retailers evaluating Metreecs for this problem usually start here, since the underlying issue is almost always forecast granularity, not the total amount of stock on hand.

1. Segment safety stock by demand variability, not by category. Pull sell-through data for your top-selling products and separate the volatile ones from the stable ones. Give the volatile group a larger buffer instead of applying one blanket rule, an approach covered in more detail in this guide to reducing overstock through better inventory optimization.
2. Recheck lead times against your reorder points at least quarterly. Supplier lead times drift, especially with overseas manufacturing or shared production lines. A reorder point built on a three-week lead time stops working the moment that lead time becomes five weeks.
3. Forecast at the product and location level, not the category level. A category forecast tells you total expected demand; it says nothing about which specific product and which specific store or channel will run out first. Product-level, location-level forecasting closes that gap directly.
4. Watch for demand signals outside your own sales history. A promotional calendar, a social mention, or a seasonal shift can outpace a forecast built only on last year's numbers. Building in a short lookback window for recent sell-through velocity catches these spikes earlier than a monthly review cycle does.
5. Set a backorder policy and stick to it. Decide in advance how long a backorder window is acceptable for your category, and do not offer a backorder promise you cannot realistically keep. A short, honored window builds trust; a long, frequently missed one destroys it.

In our experience deploying product-level demand forecasting, the retailers who cut chronic backorders fastest are the ones who stop treating the reorder point as a fixed number set once a year and start treating it as something that updates as lead time and demand variability change.

How to communicate a backorder to customers

The mechanics of a backorder matter less to the customer than the honesty of the communication around it.

Tell the customer at checkout, not after the order is placed. A shopper who finds out about a delay only in the confirmation email feels misled, even if the product page technically disclosed it. State the estimated ship date clearly, and flag whether it is a firm date or an estimate that could move. If the date changes, notify the customer proactively instead of waiting for them to ask. Offer an easy cancellation path if the wait no longer works for them; forcing a customer into a long wait they did not sign up for guarantees they will not order ahead again.

Priya, who runs digital merchandising for a home décor brand, tested this directly on a popular ceramic vase that kept selling out between restocks. Swapping a generic "temporarily out of stock" label for a specific ship-date range at checkout cut order cancellations on that product by roughly a third over the following month. The change cost nothing to implement; it just required the ship-date estimate to actually be accurate.

FAQ

What is the difference between backorder and out of stock?
A backorder has a confirmed date for when new inventory will arrive and ship; out of stock has no confirmed resupply date at all. This implies the retailer can still take the order today, while out of stock usually means checkout is disabled.

Is it bad to order something on backorder?
Not inherently. If the retailer has a real, confirmed shipment date and a track record of honoring it, ordering on backorder secures your place in line for a product you might otherwise miss entirely. The risk rises when the date is vague or has already slipped once.

How long does a backorder usually take?
It depends entirely on the cause. A short supplier delay might resolve in one to two weeks. A backorder tied to a longer manufacturing or shipping lead time, especially for imported goods, can run six weeks or more. The retailer should give you a specific estimate, not a vague range.

Can a backorder be cancelled?
Yes, in almost all cases. Because payment is typically processed or authorized at the time of order even though the product has not shipped, most retailers allow cancellation any time before the item ships, with a refund issued if payment was already captured.

Why do popular products go on backorder so often?
High-demand products sell through available stock faster than the reorder cycle can replace it, especially if the demand spike (a promotion, a trend, a restock announcement) was not fully anticipated in the forecast. The fix is closing the gap between actual sell-through velocity and the forecast that sets the reorder point, not just increasing stock across the board.

Should a small retailer offer backorders at all?
Yes, selectively. Backordering makes the most sense on products with real demand and a confirmed, reasonably short resupply window. It makes less sense as a permanent fix for a product that is chronically understocked, since that usually signals a deeper forecasting or supplier problem worth solving directly.

Conclusion

A backorder, at its core, is a promise: the product sold out, but a specific shipment is already on its way. Handled well, with an honest date and a policy that gets enforced, backorders protect sales that would otherwise walk to a competitor. Handled poorly, or left to become the default state for a bestseller, they erode the trust that got the sale in the first place.

The retailers who keep their backorder rate low and predictable are the ones treating it as a forecasting signal rather than a shipping inconvenience: segmenting safety stock by how volatile each product's demand really is, rechecking lead times before they quietly stretch out, and building a demand picture at the product and location level instead of the category level. Book a demo to see how product-level forecasting flags a rising backorder risk before it reaches your customers.

Sources

• McKinsey & Company, research on AI-driven demand forecasting and product availability in retail
• Grocery Manufacturers Association, research on lost sales from product unavailability, cited via Retail Dive
• Industry survey data on the primary causes of retail stockouts (forecasting, ordering, distribution, supplier, and in-store factors)