Supplier lead time tracking is the habit of recording how long each supplier actually takes, order after order, so your next buying decision rests on observed timing rather than a number you guessed once. A static lead-time estimate ages quickly: a supplier who used to take ten days starts taking fifteen, and a reorder point built on the old figure quietly turns into a stockout. The fix is to write the timing down as you go: how long the order actually took, from placing it to the goods arriving, and how that compared with the estimate, across several orders. After Stocky, Shopify does not track a supplier’s lead time for you. It records the estimated arrival date you set on a purchase order, but the running comparison, the per-supplier history, and the judgement about whether a supplier is getting slower are yours to keep. Stocky will not be available after August 31, 2026, and from that date you manage inventory in the Shopify admin and Shopify POS, so this record is one you now maintain yourself. Here is what to record and how to read it.
What supplier lead time tracking should answer
Tracking earns its keep only if it changes a future decision. The questions a lead-time record should answer are concrete: is this supplier getting faster or slower, how much buffer should the next order carry, and can you still trust the timing you assumed last quarter. Shopify’s own supplier guidance suggests comparing suppliers on factors such as reliability, product quality, delivery times, and cost, and delivery time is the factor a running record makes visible. Treat the tracked lead time as an observation you build from your records, not a figure the platform calculates. A single delivery tells you almost nothing; a column of them tells you whether the supplier is steady, drifting, or erratic. The wider decision this feeds, what to reorder and when, is framed in reorder planning after Stocky; the lead-time record is the part that keeps its timing honest. For how lead time shapes that decision in the first place, see supplier lead time in reorder planning.
Start with the date a buy decision was made
A lead-time record starts earlier than most people expect: at the moment you decide to order, not when the goods arrive. Note the date you placed the order with the supplier, because that is the clock the delivery is measured against. In Shopify, a purchase order records the products, their costs, and the quantities ordered from a supplier, and it tracks incoming inventory quantities, costs, payment terms, and an estimated arrival date you set when you place it. That estimated arrival date is your expectation, written down at the start, but the order date is the one that anchors the measurement, because the observed lead time is the span from placing the order to the goods arriving. Capturing both the order date and the expected date before anything ships means that when the goods land you can read the real lead time, and separately how far off the estimate was, instead of reconstructing either from memory.
Record the supplier, the expected timing, and the actual follow-up
A useful lead-time record is just a few columns kept per order. The supplier it went to, since timing is a per-supplier number and suppliers are created in the admin when you create a purchase order. The expected arrival date, taken from the order. And the actual outcome, which you record when the goods arrive, the date they really landed. The span from the order date to the date you record as received is one observation of that supplier’s lead time, the real figure to carry into planning. The separate gap between the expected arrival date and that actual one is the variance: how far off your estimate was, and what tells you whether the supplier is drifting later over time. None of this is a field Shopify fills in for you; the actual-arrival side is something you note in your own record when the delivery comes in. Keeping a short written note alongside each row helps, since Shopify’s supplier guidance recommends keeping notes and documentation on each supplier relationship: a flagged delay, a partial shipment, a promise to do better next time. The notes are what turn a date into context you can act on, the kind a monthly supplier performance review reads from.
Separate a one-time delay from a supplier pattern
The reason to track over time, rather than react to the last order, is that one late delivery is noise. A supplier can slip once for a reason that never repeats: a holiday, a freight problem, a one-off shortage. The signal you are after is the pattern, and a pattern only shows up across several orders. So before you change anything based on a single slow delivery, look back at the same supplier’s recent record. If most orders landed close to their expected date and one ran long, treat it as the exception it probably is. If the observed lead time has been climbing order after order, that is a supplier getting slower, and it changes the timing you plan around. Reacting to a single slow order is its own decision, covered in late suppliers and purchase orders; the record is what lets you tell the two situations apart.
Use lead-time notes before changing reorder timing
A tracked lead time is only worth keeping if it reaches the next decision. Where it matters most is the timing of the next order: the buffer you hold so stock on hand covers the wait for delivery. If your record shows a supplier now takes longer than the figure you have been planning around, you need to order earlier or hold more cover. If they have become reliably quicker, you may be holding more buffer than you need and tying up cash. Feeding that observed timing back into the reorder decision is the subject of supplier lead time in reorder planning, and the lead-time record is one of several supplier performance metrics you weigh together. The running view of what is moving and worth restocking, where these timing calls get applied, is the weekly reorder list.
Connect lead-time tracking to buy lists and purchase orders
The record pays off when a buying round comes due. Before you build the next order, read each supplier’s tracked lead time into the buy list: a supplier whose record has been slipping gets ordered earlier and grouped with more cover, while a steady one can wait. That is the work of the supplier-ready buy list, where items are grouped by supplier and the timing for each is settled, and the buy list after Stocky where the reviewed decision sits before any order. The purchase order comes last and records the decision in the admin; for a fuller map of what the native order covers, see Shopify purchase orders after Stocky. One limit shapes the handoff: purchase order APIs aren’t currently available in Shopify and are under consideration, so an outside tool cannot keep this record for you, and the tracking stays something you maintain. Because the history you read it from lives in past orders, and historical Stocky data, including old purchase orders and stocktakes, will not move into Shopify automatically after the shutdown, export that order history before the cutoff so your record reaches back.
What not to treat as a reliable lead-time metric
A few things look like a lead-time figure but are not, and trusting them leads you wrong. A supplier’s promised or quoted lead time is a starting assumption, not a measurement; the number that matters is what you have observed across your own orders. A single delivery, fast or slow, is one data point and not a trend, so resist resetting your planning on the strength of one order. Borrowed figures, a rating from someone else’s store or a vendor’s own marketing, describe their experience, not how the supplier performs for you. And a lead-time record is not a demand signal: it tells you how fast a supplier delivers, not whether the product is still worth ordering, which you read from sales history instead. Shopify’s inventory reports summarize past sales and current stock to help you decide which products to prioritize when restocking, and they are not automatic reorder recommendations and do not calculate reorder quantities, so keep the timing record and the demand read as two separate inputs. Build the lead-time picture from supported supplier and order records you actually hold, not from synthetic ratings or borrowed testimonials.
Supplier lead time tracking checklist
Keep the record light enough that you actually maintain it. For each order, capture: first, the supplier and the date you placed the order. Second, the expected arrival date you set on the purchase order. Third, the date the goods actually arrived, recorded when they came in. Fourth, the observed lead time, the span from the order date to that actual arrival, which is the figure you carry into planning. Fifth, the variance against your estimate, how the actual arrival compared with the expected date, which flags whether the estimate is holding up. Sixth, a one-line note for anything unusual, a flagged delay or a partial shipment. Then, on a regular cadence, read each supplier down their last several orders: is the observed lead time steady, climbing, or a single exception. Seventh, carry the current observed lead time, not the original quote, into the next reorder point and buy list. Eighth, keep the record where you will see it next time, because the value compounds only when the rows accumulate. For the wider question of which tools to lean on after Stocky, see what to use after Stocky.
Limitations
Tracking supplier lead time is a planning habit, not a Shopify feature, and this guide does not cover every workflow Stocky used to support. Shopify does not track lead time or score suppliers for you; it records the orders you read the timing from. It does not create Shopify purchase orders; those stay native to the Shopify admin. None of this is demand forecasting, and the lead times you observe are judgement inputs a person reviews, not numbers to follow blindly. It does not promise better supplier performance, fewer stockouts, or less dead stock, and it is not legal, accounting, tax, or financial advice. Supplier scorecards should be built from supported supplier, vendor, and order records you actually hold, never from fake reviews or synthetic testimonials. Shopify purchase orders, supplier and vendor records, inventory records, and supplier reliability notes still need source-backed checks against your own store. For the slice where turning that order history into a per-supplier read is the heart of the work, the existing kijun app is one option, scoped honestly: it builds 0-100 supplier scorecards from purchase orders recorded in kijun, on supported supplier and vendor records, and it does not forecast demand or reorder for you. See how supplier scorecards work after Stocky.
This article was drafted with AI assistance and checked against cited sources through kijun’s editorial workflow. Last updated: 2026-06-29.
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