Danilo Soto
Founding Partner EREA Decisions Lab. A Division of EREA Consulting Group
Why do so many retailers tie up their liquidity in inventory that doesn’t convert into sales?
The scene repeats itself with a frequency that should be cause for concern: the sales team says there is no product to sell, the warehouse is fuller than ever, and management is looking for ways to cover payroll. The tension is not that any one of them is wrong. It is that all three things are true at the same time. Capital is tied up in inventory—and shareholders are tied up in the operation.
Inventory that reports availability but does not generate sales
In televisions, 32″ models drive volume, but orders were placed across the entire range. Large-screen models have been sitting untouched for months, while the best-selling model is about to run out of stock. In building materials, drywall sheets deteriorate in the warehouse due to humidity and mishandling, but they continue to count as available inventory. In hardware stores, sealants and additives expire on the shelf because no one defined a date control process. In all cases, the report shows coverage. The capital, however, is already committed and does not convert into cash.
Part of the reason lies in how portfolios grow. New brands and variants are added without a process to define what should be removed from the assortment, and in some cases, minimum purchase requirements with suppliers force retailers to carry slow-moving items in order to access the conditions for those that do sell. When a brand enters a category without a clear role within the portfolio, total sales do not necessarily grow—but capital investment and operational complexity do. The accumulation is gradual and spread across categories, brands, and warehouses, until it becomes impossible to separate what sustains sales from what simply takes up space.
How degradation progresses without indicators showing it
The lack of depth reaches the salesperson first. In the store, they work with what they have. In B2B operations, they commit to a delivery and, when it comes time to ship, they discover that the system reports inventory that does not match the physical inventory, or that the product was committed to another channel. After losing several sales this way, the salesperson stops offering what they cannot confirm, and the portfolio they present to their customers is reduced without anyone having decided to do so.
The turnover indicator drops, and the internal reading is that demand has weakened. But turnover may have fallen because a product in real demand lost depth, or because the system reports inventory that has been unsellable for weeks—damaged, committed, or simply non-existent in physical form. That gap between theoretical and physical inventory is rarely corrected in time: declaring it means recognizing a loss that impacts the margin. By the time the indicator reflects the decline, the commercial degradation has already occurred.
In high-ticket categories, there is another way this happens: the price is set with a margin expectation that does not reflect the competitive reality, the product does not move for months, and finally it is adjusted to a value that the market does absorb. Capital was tied up all that time, and in the reports the item already appears as low turnover. The product did not lose demand; it had the wrong sales conditions.
Distribution that produces the result that then justifies the decision
In multi-branch operations, the decision of which product goes to which store is often made before the inventory arrives at the central warehouse. That distribution reflects, in many cases, a historical perception of which stores are the main ones. The flagship store receives greater depth and a better assortment; the others receive what is left. But demand profiles change. Remittances, internal migration, and shifts in regional purchasing power can mean that a location that was secondary three years ago now has customers willing to buy products that never arrive.
The store that receives an incomplete or inadequate assortment experiences the same deterioration described in the previous paragraphs, and its sales velocity confirms the perception that it is a low-performing location. Distribution produced the result that is then used to justify it. The capital invested in that inventory is trapped in a location where it cannot generate the sales it would generate in another.
This logic also works in the other direction. When availability is insufficient to supply all stores, the criteria for distributing the shortage are rarely defined in advance. It is improvised. And in that improvisation, the products that sustain sales for the entire network compete for the same decision space as marginal references.
A break in a product that sustains sales for the entire network and a break in a marginal reference end up receiving the same operational response. Degradation progresses, but without differentiated action.
What the best operators do differently
There are retailers who understand this logic not as an inventory management problem, but as an operational discipline that is applied consistently in r each cycle. In certain formats, the value proposition is built on the constant renewal of the assortment: what does not rotate within a defined period is removed, not because it is impossible to sell it at a greater discount, but because it takes up space and capital that could be financing the replacement of what does sell. The discipline is not about discounting; it is about priority.
In categories such as appliances or technology, that discipline takes another form: it is clearly defined how much depth to protect in the current model and when to stop financing the previous generation so as not to duplicate capital on the floor and in the warehouse. In both cases, the priority is not to maximize the permanence of each item in the assortment, but to protect the turnover that finances the operation.
What distinguishes these operators is not the sophistication of their systems. It is that they have a clear answer to three questions that, in most organizations, cannot be answered quickly: what is the actual coverage of the twenty products that contribute most to sales, how much capital is committed to items that have not rotated in ninety days, and what minimum depth is needed to protect next month’s sales without compromising liquidity. When those questions are answered, the decision of what to protect and what to release is no longer negotiated between departments each purchasing cycle.
The question that separates those who manage it from those who repeat it
One concrete way to understand where the organization stands is to ask each area to answer, with the information available today, how much of the current inventory effectively supports sales and how much does not. If Sales, Finance, and Operations come up with three different figures—or if the answer takes more than a day because it requires cross-referencing the system with Excel files and manual adjustments—the organization has no way of separating the inventory that finances the operation from that which only commits capital.
At EREA Decisions Lab, we have been working with retailers in Latin America for more than eighteen years, and this pattern appears more frequently than the indicators allow us to see. The difference between those who address it structurally and those who repeat it every cycle is rarely in the size of the inventory or the technology available; it is usually in the clarity with which they distinguish what to protect and what to adjust, and in the speed with which that distinction reaches the operational decision.
Inventory is not just a number on the balance sheet. It is capital. And that capital is either turning into cash or it is trapped. When the business knows which is which, works for its shareholders. When it doesn’t, the warehouse may be full, yet there may still be a shortage of product to sell.
