Supplier performance metrics exist to answer one practical question before you buy again: is this supplier reliable enough to reorder from, and how much timing and quality risk do you need to plan around? After Stocky, Shopify does not hand you a finished supplier scorecard. What it gives you is the raw record every metric is read from: the purchase orders you placed and what you record as received against them. The metrics are review inputs you derive from your own order history and keep, not numbers the platform computes for you. A useful set stays close to how Shopify already frames supplier comparison, on reliability, product quality, delivery times, and cost. Stocky will not be available after August 31, 2026, and from that date you manage inventory in the Shopify admin and Shopify POS, so reviewing supplier performance before each repeat buy is a habit you now run yourself. Here is what to track and how to read it.
What supplier performance metrics should answer
A metric earns its place only if it changes a decision. For supplier performance after Stocky, the decisions are concrete: whether you reorder from this supplier, how much buffer you build for their timing, and what you raise before placing the next order. Shopify’s own supplier guidance suggests comparing suppliers on factors such as reliability, product quality, delivery times, and cost, and those four factors are a sound backbone for the metrics to track. Treat each one as a question you answer from your records rather than a score the system produces. Reliability asks whether orders arrive complete and on the date agreed. Product quality asks whether the goods are usable on arrival. Delivery times ask how long the supplier really takes, and recording that over time is supplier lead time tracking. Cost asks whether prices and terms hold steady. The wider decision these feed, what to reorder and when, is framed in reorder planning after Stocky; the metrics here are the supplier half of it. For the broader tooling choice, see what to use after Stocky.
Start with delivery timing
Delivery timing is usually the first metric to read, because it is the one that breaks plans. The order itself gives you one side of it: a Shopify purchase order tracks the products, costs, payment terms, and an estimated arrival date you set when you place it. The other side is what you record when the goods actually land, the date the order really arrived. The gap between the estimated arrival date on the order and the date it actually showed up, read across the last several orders, is the supplier’s real delivery-time metric. One late order is noise; a run of late arrivals is a signal. Watch consistency as much as the average, since a supplier who is sometimes quick and sometimes very late is harder to plan around than one who is steadily slow. Turning that timing into a buffer before the next order is the subject of supplier lead time in reorder planning. When a run of late arrivals is the pattern, acting on it before the next order is late suppliers and purchase orders.
Track ordered versus received: completeness and quality
Two more metrics come from comparing the order to what actually arrived. The first is completeness. A Shopify purchase order records the products, their costs, and the quantities ordered from a supplier, so the order is your record of what should have come. Set that against what you record as received, and the gap between ordered and received quantities is your fill metric. A supplier who repeatedly ships short on the same product is the pattern to catch. The second is quality: goods that arrive damaged, unusable, or missing are the signal to note against that order and that supplier. Read the two together, because a delivery that is on time but half unusable is not a good delivery. The running workflow for capturing these signals each month is covered in how to track supplier performance after Stocky, and the fields that hold them sit in the supplier scorecard template.
Separate supplier reliability from product demand
A common mistake is to blame a supplier for a number that is really about the product. Supplier reliability measures the supplier: whether they deliver complete, on time, and in good condition. Product demand measures the item: whether it is selling fast enough to reorder at all. These are different questions read from different data. 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 the demand side comes from sales history, not from the supplier’s delivery record. Keep them apart. A reliable supplier of a product that no longer sells is still not worth reordering, and an unreliable supplier of a strong seller is a risk to manage rather than a reason to stop buying. Mixing the two produces a supplier verdict that is really a demand decision in disguise. The running view of what is actually worth restocking sits in the weekly reorder list.
Connect supplier metrics to the buy list before you buy again
The metrics are worth keeping only if they reach the next buying decision. In Shopify, suppliers are created in the admin when you create a purchase order, and the cost and terms metric lives on the order itself, since payment terms and prices are recorded per purchase order. Before a repeat buy, read the supplier’s recent metrics into the buy list: a slow supplier gets ordered earlier and with more buffer, a short shipper gets a larger order or a backup, a quality problem gets raised before you commit. That is where the supplier-ready buy list groups items by supplier and the buy list after Stocky holds the reviewed decision before any purchase order is created. One limit shapes the handoff: purchase order APIs aren’t currently available in Shopify and are under consideration, so an outside tool cannot create the order for you, and the metrics stay something you read and apply by hand. Because the history you read them 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 while Stocky still runs.
What not to treat as a supplier scorecard
A few things look like supplier metrics but are not, and treating them as proof leads you wrong. A single late or short order is not a verdict; a metric needs several orders before a pattern is real. A supplier’s own marketing, or a review written by someone else’s store, is not a measurement of how they perform for you, and the only honest performance data is your own recorded order history. A precise-looking score built on two orders is false precision rather than insight, so plain written observations against the four factors usually beat an invented number. A metric is also not a guarantee: a supplier who has been reliable can still slip, which is why you keep reading the record rather than deciding once and stopping. Build the picture from supported supplier and order records you actually hold, not from synthetic ratings or borrowed testimonials.
Supplier performance metrics checklist
Before you reorder, run each supplier through the same short read. First, on-time delivery: the estimated arrival date against the actual receiving date across recent orders. Second, completeness: the quantities the order says you ordered against what you record as received, watching for repeat shortfalls. Third, quality: anything that arrived damaged, unusable, or missing, noted against the order. Fourth, cost and terms: whether prices, payment terms, and currency held steady on the recent orders. Fifth, consistency: how much the supplier’s timing and fill vary, not just their average. Sixth, a short written note per supplier, in plain language, with the follow-up you want to raise. Seventh, enough history: at least several orders before you treat any of this as a pattern. Run the read on a fixed cadence so the notes build up, the monthly habit described in supplier reporting after Stocky, and let the result feed the next buy list rather than sit in a file.
Limitations
Reviewing supplier performance metrics is a planning habit, not a Shopify feature, and this guide does not cover every workflow Stocky used to support. It does not create Shopify purchase orders; those stay native to the Shopify admin, and the metrics only inform when you create one and what you commit. None of this is demand forecasting, and the metrics you settle on are judgement calls 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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