In a budget discussion where inventory levels come up, the exchange almost invariably opens from the same three positions: procurement points to lengthening supplier lead times, manufacturing points to the cost of an unplanned line stoppage, and finance points to the compression of the cash conversion cycle, leaving the table to search for a settlement among three individually legitimate arguments. That settlement rarely takes the form of a number; it takes the form of a drift, in which inventory is held a little higher for a little longer, because the cost of drawing it down is visible and attributable to a named individual while the cost of holding it sits quietly as a line on the balance sheet. Asked in that same room what the previous period's days inventory outstanding actually was, the answer typically arrives from a person rather than from a system, recalled from memory or from a spreadsheet that individual maintains privately. This is not an isolated shortcoming but a recurring pattern: across a large share of companies, inventory days are measured without ever being managed.

That gap between measurement and management is the first place the reviewing party looks. Days inventory outstanding is a ratio recoverable from the financial statements by simple arithmetic, which means the existence question appears, at surface level, to answer itself in the affirmative. Taken seriously as a diligence dimension, however, existence interrogates not whether the number can be calculated but whether it is formally defined inside the company: which inventory categories fall within the calculation, how work in progress and consignment stock are treated, whether the cost base is cost of goods sold or manufacturing cost, and whether the denominator rests on period-end stock or on an average across the period. Absent a written answer to those questions, a divergence of several weeks opens between the inventory days the company reports and the inventory days an acquirer will model, and it opens without anyone having acted in bad faith on either side.

The mechanism underneath that gap is that inventory behaves as an asset in the accounts and as insurance in the operation. Carrying stock simultaneously reduces the cost of supplier delay, quality rejection, demand volatility and error in the production plan, which makes the tendency to hold inventory not an error at all but a rational shortcut that lowers cost under uncertainty. The difficulty lies not in the shortcut itself but in its persistence after the condition that justified it has changed. When lead times normalise, when the product range is rationalised, or when the supplier base is diversified, the level ought in principle to come down; for it to come down, however, somebody has to decide that it should, and where that decision has no defined owner the level remains elevated by default. Inventory is a line item on which upward decisions are easy and downward decisions are hard, since surplus stock inconveniences nobody in particular while a shortage inconveniences one identifiable individual immediately.

The documentation dimension looks precisely for the record of that asymmetry. What carries weight at the review table is not a slide displaying the inventory days trend but the written form of the decision rule that produces the level: target days by item group, the safety stock formula and the service level it encodes, reorder points, and the relationship between minimum order quantities and supplier payment terms, together with a record of when those parameters were last revised, by whom, and on what stated grounds. Where that record is absent, the assertion that the company operates an inventory policy remains a verbal assertion and is not treated as verifiable. An undocumented policy resolves, in practice, into a policy carried in the head of the founder or a long-serving procurement manager, which routes the question directly into the continuity dimension, where it produces a considerably heavier cost.

On the implementation dimension the method is not to read the policy but to examine its breaches. Where a written target exists, the review asks whether realised values oscillate around that target or sit persistently above it, and whether exceeding it generates any exception record at all. If deviation has been normalised, meaning that breaching the target triggers no mechanism whatsoever, the policy exists on paper and not in the operation. The same logic applies to physical verification: the frequency of stock counts, the magnitude of count variances, and the accounts to which those variances are posted together indicate how closely the inventory record tracks physical reality. Where count variances run systematically in one direction rather than distributing around zero, the reported days inventory outstanding is itself systematically biased, and every downstream working capital figure inherits that bias.

The distinguishing question on the measurement dimension is whether the aggregate figure has been disaggregated to the item group level. An aggregate is by construction an average, and an average conceals slow-moving inventory behind fast-turning lines, which is why a company can present an entirely reasonable overall inventory days figure while a material slice of its stock has not moved in more than a year. The review therefore turns to the ageing schedule, to the proportion of inventory beyond defined age thresholds, and to the consistency between that schedule and the provision recognised for obsolescence and net realisable value. Where the provisioning policy diverges from the ageing data, meaning that inventory aged beyond a year carries no corresponding provision, the finding ceases to be operational and becomes a finding on adjusted profitability, pulling down the very base to which the multiple is subsequently applied.

Ownership is the dimension on which inventory days are most weakly institutionalised, for the straightforward reason that inventory is never under the control of a single function. Procurement determines quantity, production planning determines timing, sales feeds the demand forecast, and finance carries the cost of the outcome; where none of those four roles can be held individually accountable for the resulting inventory days, accountability for the outcome does not exist. Establishing ownership means considerably more than writing a name in a responsibility matrix: it requires a defined answer to who holds decision rights when the target is breached, at what threshold the matter escalates and to whom, and against which performance measure that decision is subsequently assessed. From the investor's vantage point, an unowned working capital line is a line that everyone expects to improve in the first year after closing and nobody is able to commit to improving.

The continuity dimension asks whether the outcome is reproducible independently of any individual, and it is here that the underlying proposition of the whole exercise takes its most concrete form: what governs the valuation is not the performance itself but the demonstrability that the performance can be reproduced without the founder. A company reporting low and stable inventory days is presenting a favourable indicator, but if that outcome is produced by the founder's personal relationships with suppliers, an intuitive reading of demand, or direct intervention in expedited order decisions, the indicator is good while the capability is not transferable. Diligence tests this by examining inventory behaviour during periods when the founder was absent, the distribution of signatures across the purchase approval chain, and whether the supply agreements that secure favourable terms are contracted to the legal entity or attach informally to an individual.

The channel through which deficiencies in these dimensions reach the valuation is direct, and it usually opens before any discussion of the multiple, in the negotiation over the working capital adjustment. When the parties fix the normalised working capital level within the closing mechanics, they typically anchor on an average across a reference period; where the company holds no defined inventory days target and no record of compliance against one, the acquirer's reasonable position is to treat the highest observed level as normal. The practical consequence is an increase in the cash the seller must leave on the balance sheet at closing, which operates as a silent reduction in consideration without ever appearing as a price concession. Beyond that, unprovisioned slow-moving inventory depresses adjusted profitability, while a founder dependency finding exerts pressure toward a longer earn-out period or a higher escrow proportion.

The starting point for structural intervention is decision architecture rather than individual discipline, since the tendency to hold inventory arises from an asymmetry of incentives rather than from an absence of information. The mechanism BEIREK builds in this area comprises four separable components. The first is a written target days figure and safety stock formula set at item group level, with distinct parameters for groups whose lead times and demand volatility differ, rather than a single consolidated target that averages those differences away. The second is an exception record triggered automatically when the target is breached and capturing the justification at the moment of the decision, since a justification written retrospectively at period end converts into rationalisation. The third is a monthly inventory review at which procurement, planning, sales and finance sit at the same table and whose conclusions are committed to a written output. The fourth is a disposal rule for slow-moving stock, tied to the ageing schedule with thresholds defined in advance rather than negotiated case by case.

The second function of these components is that, once established, they generate their own evidentiary chain. Minutes of the monthly review, the revision history of the targets and the accumulated series of exception records, presented together at a diligence table, demonstrate that the inventory days figure is an output rather than a coincidence; and that demonstration is structurally stronger than any narrative explanation supporting the same number, because it validates the process that produces the figure rather than the figure itself. In the structures where our work continues after a transaction has closed, a further function emerges: in the working capital adjustment negotiation, the seller's assertion regarding the normalised level ceases to be a bargaining position and becomes a fact supported by twelve months of documented practice, and the cash value of that difference exceeds the advisory cost by a substantial margin in most transactions of any scale.

Understood in these terms, days inventory outstanding is less a measure of efficiency than a record of how a company negotiates with uncertainty: elevated inventory represents a decision to purchase certainty with cash, and under certain supply conditions that decision is entirely correct. What the diligence table seeks is not a demonstration that the decision was wrong, but evidence that it was taken deliberately, tied to a stated parameter, assigned to an owner, and made reversible once the underlying condition changes. The question worth asking of any company's inventory is therefore not whether the level is high or low, but when it was last set, by whom, and on what stated grounds. Where that question has a dated answer, inventory is an asset; where it does not, inventory is a habit that happens to be recorded as one.