When Availability Signals Are Not Aligned: The Hidden Inventory-Demand Mismatch

The Global Signal

IHL Group, an independent retail and hospitality technology research firm, published a widely cited analysis estimating that empty shelves alone cost retailers approximately $238 billion annually worldwide, one component of a larger $634 billion total loss the firm attributes to out-of-stock situations across the industry (Chain Store Age). McKinsey has separately argued that retailers increasingly need real-time, cross-channel inventory visibility precisely because daily-updated stock counts create a specific, avoidable failure: a retailer effectively sells the same unit of inventory twice across different channels, once to an online customer and once to an in-store customer, because neither channel had a live view of what the other had already claimed (McKinsey, omnichannel supply chain).

Both sources point at the same underlying gap from different angles: a retailer's own inventory system can report a number that is technically accurate and still fail to describe whether a specific customer, in a specific channel, can actually get the product.

The Hidden Signal

Consider a hypothetical scenario that illustrates the mechanism McKinsey's argument describes: a retailer's inventory system shows a product in stock at a distribution center, technically accurate, while a customer in a different region cannot get that same product delivered within the timeframe they need, or wants a single unit when only a bulk pack is available locally. By every measure the retailer tracks, nothing is wrong; the product is in stock. The customer experiences the opposite: the thing she wanted was not actually available to her, regardless of what a warehouse database says.

Why the Visible Metric Misleads

Out-of-stock rate answers a narrow question: does the product exist somewhere in the network. It says nothing about whether a specific customer, in a specific channel and location, could actually access it in time. McKinsey's argument about channel-level inventory visibility describes exactly why this gap persists: without a live, shared view of stock across channels, a retailer's own systems can report full availability while simultaneously creating the kind of double-selling and fulfillment failure that customers experience as absence, not abundance.

The more useful measure sits beside the raw stock count: how often a customer's specific channel and format request could actually be fulfilled, not just whether the product existed somewhere in the broader network.

Implication for Operators

IHL's $238 billion empty-shelf figure and McKinsey's omnichannel visibility argument together describe a gap that is large, well documented, and still mostly invisible inside standard retail reporting. The practical shift is treating channel-level fulfillment accuracy as a distinct measure from aggregate stock levels, since McKinsey's own research suggests the two can diverge significantly without either number, on its own, revealing the problem.