The 12 KPIs a distribution director should track in 2026

1. Gross margin by account / category / rep. Definition: the margin you earn, not in aggregate but broken down by customer, product family and salesperson. Why it matters: the average lies. It hides the high-volume account you serve at a loss and the rep who buys their number with discounts. Target: not a single figure but a controlled spread — find the 10% of accounts or lines that destroy margin and address them one by one.

2. DSO — days sales outstanding. Definition: the average number of days between invoice and payment. Why it matters: every excess day of DSO is cash tied up that you finance instead of your customers. Target: aim for roughly your contractual terms plus a short buffer (net 30 → a DSO of 35–40 days is healthy); beyond 1.3x your terms, collections are broken.

3. Dead stock value (90 / 180 / 365 days). Definition: the value of SKUs with no movement for 90, then 180, then 365 days. Why it matters: this stock is not an asset, it is dead cash taking up space, aging, and eventually written down. Target: keep 180-day-plus dead stock under a clear ceiling (often 5–10% of total value) and set a clearance rule — markdown, supplier return or disposal — before 365 days.

4. Working capital requirement. Definition: inventory + receivables − payables; the cash the operation permanently consumes. Why it matters: in distribution, growth eats working capital — the more you sell, the more stock and receivables you finance before you are paid. Target: track it in days of revenue and, above all, its trend: working capital growing faster than sales is a warning, not an inevitability.

5. Fill rate. Definition: the share of ordered lines or quantities you serve immediately from stock. Why it matters: it is the promise kept to the customer, line by line — a low fill rate creates stockouts, partial deliveries and costly backorders. Target: most healthy distributors hold 95–98%; below 95%, this becomes a customer problem, not just a logistics one.

6. OTIF — On Time In Full. Definition: the share of orders delivered on the promised date AND complete, both at once. Why it matters: it is the most honest customer-experience KPI because it forgives nothing — an on-time but incomplete order fails, just like a complete but late one. Target: 90–95% is a good level; measure it at the end customer, not the outbound dock.

7. Stockout rate. Definition: how often an SKU that should be available is at zero when the order comes in. Why it matters: a stockout is a double penalty — the immediate lost sale and, over time, a customer who learns to shop elsewhere. Target: watch it by revenue-weighted SKU; a stockout on an A item is an incident, on a C item it is noise.

8. Inventory turns. Definition: how many times you sell through and replace your average stock in a year (cost of goods sold ÷ average inventory). Why it matters: turns are the speed at which your cash moves through the warehouse — the higher it is, the less you tie up for the same revenue. Target: highly sector-dependent (4 to 12 across ranges); read the trend and mix, not just the absolute number.

9. Order cycle time. Definition: the elapsed time between the order placed and its receipt by the customer. Why it matters: it is the lead time the customer actually lives, the one that decides whether you stay a stopgap supplier or become a core partner. Target: the benchmark is your stated commitment reliably met — a short but erratic cycle is worth less than a slightly longer but predictable one.

10. Return / RMA rate. Definition: the share of orders or value that comes back (Return Merchandise Authorization), including picking errors, non-conforming products and customer refusals. Why it matters: every return costs freight twice, ties up handling, and often signals an upstream problem — a bad product record, a picking error, a mismanaged expectation. Target: track it by cause rather than in aggregate; the useful goal is to reduce avoidable causes, not to hit a magic number.

11. Account retention rate. Definition: the share of a period's active accounts still active the next period (and, in a finer version, whether their volume holds). Why it matters: in B2B distribution most value comes from accounts that reorder month after month — a lost account is replaced at a steep acquisition cost. Target: aim for high retention in count and, above all, in value, and catch silent erosion early — a customer ordering less often before leaving altogether.

12a. Lines picked per hour. Definition: the number of order lines picked per hour worked in the warehouse, by person or by zone. Why it matters: it is the most direct measure of picking productivity, the one that tells you whether your headcount keeps up with volume or drowns in it. Target: the absolute figure matters less than its stability and trend; compare zones and shifts against each other before comparing to an external benchmark, which is often misleading because it depends on your order profile.

12b. Logistics cost per delivered order. Definition: the fully loaded cost — picking, packing, freight, returns — allocated to each order actually delivered. Why it matters: it is the real price of your service promise, the one that decides whether a small account or a small order earns you money or costs you. Target: track it by order-size band and by channel; the point is to spot orders served at a loss and adjust free-freight thresholds, order minimums or routing accordingly.

These two indicators close the loop: the first ten tell you whether you sell well and serve well; these two tell you at what cost, and therefore whether the apparent performance is sustainable. A director who manages service without managing unit cost is buying customer satisfaction with margin they never see leave.

These 12 KPIs are only worth anything together. Scattered across a sales spreadsheet, an accounting export and a warehouse report, they arrive too late and contradict each other — finance quotes one margin, operations another, and no one is talking about the same month. They have to live on one screen, in real time, on a single source of truth. A director should not be reconciling numbers; they should be deciding from numbers already reconciled.

That is exactly what a consolidated dashboard like SupplyCore's does: it aggregates margin, DSO, fill rate, OTIF, turns, retention and cost per order from the same transactional data, across warehouses included, with no re-keying or manual reconciliation. The executive committee reads the same truth as the warehouse manager and the controller, at the same moment.

Above all, the 12 KPIs are no longer read cold at month-end only. Operational AI agents watch continuously and surface anomalies before they become problems: an abnormal margin on an account, a drifting stockout rate on a category, a late driver about to tip the day's OTIF. The director no longer chases an incident already consumed — the alert arrives while there is still time to act.

The rule fits in one sentence: twelve indicators, one screen, one source of truth, and agents keeping watch for you. The rest — the hundred metrics you could produce — belongs to the teams that dig, not to the dashboard that decides. To run the business is to pick a few right indicators and look at them every day in the same place.