Using Real-Time Inventory Signals in Pricing

Here is a number that should bother you. Inventory distortion, the combined cost of running out of what customers want and holding what they do not, costs global retail roughly $1.7 trillion a year, about 6.2 percent of worldwide retail sales, according to IHL Group. Roughly two thirds of that is lost sales from stockouts and one third is the carrying and markdown cost of overstock.

Most businesses treat that as a supply chain problem. It is also a pricing problem, and that reframe is where the money is. Your stock position is a live signal about what your price should be, and almost nobody uses it that way. If you want one evidence-based read on pricing each week, subscribe to the AI Profit Pulse newsletter.

Why is inventory a pricing signal?

Because price is the fastest lever you have for changing how quickly stock moves.

Think about what a stockout actually is. Demand arrived, you could not serve it, and the sale went to someone else. In hindsight, your price was too low for the inventory you had. You sold out early at a price that left money on the table, and the customers who arrived later got nothing.

Now the opposite. A pile of unsold seasonal stock in week six is demand that never arrived at the price you set. Your price was too high for the inventory you had, and now you will discover that the hard way, through a markdown that costs far more than a small early adjustment would have.

Both are pricing failures wearing supply chain clothes. The lever that fixes both is the same: let the price respond to how fast stock is actually moving relative to how much time is left.

What signals should feed the price?

Four, and you probably already have all of them.

Sell-through rate. What percentage of your stock has sold, measured against where you expected to be by this point in the season. This is the single most useful signal, because it captures demand and inventory in one number.

Days of cover. At the current rate of sale, how long until you run out. When cover drops well below the time remaining in the season, you are heading for a stockout, and holding price (or raising it) protects margin on the units you have left.

Aging. How long specific stock has been sitting. Aging inventory carries real cost, commonly estimated at 20 to 30 percent of average inventory value annually once you count capital, storage, shrinkage, and eventual markdown. Slow movers should start their markdown path early and gently, not late and desperately.

Replenishment reality. Whether you can actually get more. A fast seller you can restock in a week is a very different pricing decision from one you cannot reorder this season.

How do you connect them without a big system?

Start with rules, not software. The discipline matters more than the tooling.

Set a target sell-through curve for the season, the percentage of stock you expect to have sold by each week. Then define what happens when reality diverges. If you are meaningfully ahead of the curve with limited replenishment, hold your price or trim promotional depth; you are going to sell out either way, so there is no reason to pay for volume you already have. If you are behind the curve, begin a small, scheduled markdown early rather than a deep one late. Early and shallow almost always beats late and deep, because you are discounting fewer units and still capturing shoppers while demand exists.

This is exactly the work AI is good at, once the rules exist. Rather than a merchant eyeballing spreadsheets, the system watches sell-through, cover, and aging across every item and flags the exceptions. That matters because the time is the scarce resource: in a McKinsey survey of retailers, merchants reported spending about 65 percent of their time gathering data and firefighting, leaving only a third for actual analysis. Automating the watching is what buys back the deciding.

If you are evaluating tools for this, our guide to evaluating AI pricing tools for better ROI will save you some expensive detours.

The mistakes worth avoiding

Discounting a stockout. It sounds absurd, but it happens constantly through automated promotions that keep running on items that are nearly gone. Check that your promo calendar cannot fire on low-cover items.

Waiting for the end of season to mark down. By then you are competing with every other clearance and discounting the maximum number of units at the deepest cut.

Letting inventory rules override trust. Raising a price sharply because stock is scarce reads as exploitation to customers, especially in a peak period when everyone is watching. Keep moves modest and explainable. Our piece on customer pricing strategies that keep buyers coming back covers where that line sits.

Ignoring the cost floor. A markdown that clears stock below your true cost to serve is not a recovery, it is a slower loss. Know the floor before the season starts.

The takeaway

Stockouts and overstock are the same failure viewed from two sides, and both are partly priced into existence. Watch sell-through against a planned curve, respect days of cover, start markdowns early and shallow on aging stock, and never let a promotion fire on something you are about to run out of. With inventory distortion running at roughly 6 percent of retail sales industry-wide, even modest discipline here compounds fast.

Want one short, evidence-based pricing idea each week? Subscribe to AI Profit Pulse. And if you would like a fast read on where your pricing is leaking margin right now, the Pricing Pulse Audit is a short place to start.