Your par levels didn't export. Rebuild them from your PO history.

What survived, and what didn't

The levels themselves are gone (the full inventory of Stocky's non-exports is in what Stocky can't export). What survived is better than nothing: your purchase order export carries quantities, order dates, arrival dates and costs, and your sales history never left Shopify's orders. A reorder point is arithmetic on those two histories. That is all it ever was in Stocky, too. Stocky just did the arithmetic where you couldn't see it.

The formula, once

Reorder point = average daily sales × lead time in days + safety stock. Worked example, for a product that sells steadily:

That is the whole machine. Everything below is about getting the two time inputs honest.

Lead time is the input everyone gets wrong

There are two lead times for every supplier: the quoted one, and the real one. The quoted one is on a price list. The real one is in your receiving history: order date to received date, order after order. If the rep says seven days and your last six orders took nine, eleven, eight, twelve, ten and ten, your lead time for the formula is ten or eleven, not seven. Using the quoted number is how a store with a perfectly good formula still stocks out.

This is one thing your Stocky export is genuinely good for. And it is why, when Sutler imports your purchase orders, it learns each supplier's real lead time from when the orders were placed and when they arrived, instead of asking you to type in the brochure number.

Safety stock in days, not statistics

The textbook safety-stock formula wants demand standard deviations. For a small catalog there is a plainer method that behaves just as well: pick buffer days. Ask how many days of sales you want sitting spare, by how much it hurts to be out of the item. Three days for a steady seller. A week for the item your regulars ask for by name. Zero for the thing you can live without for a fortnight. Safety stock is then just daily sales × buffer days, and when your judgement about an item changes, you change a number of days, not a statistic you no longer trust.

The rebuild worksheet

Per SKU, in order:

1. Daily sales: units sold in the last 90 days ÷ 90. Skip obvious one-off spikes, and say so in a note if you do.
2. Actual lead time: from your purchase order export, the gaps between order dates and received dates for that supplier. Use a typical slow one, not the best one.
3. Buffer days: 0 to 7, by how much a stockout hurts.
4. Compute: daily sales × lead time + daily sales × buffer days.
5. Write it where ordering happens, not in a document you'll lose. Before you build on the export, run it through the free Stocky Export Checker so you know the history is complete; a rebuild on a partial export quietly inherits the gaps.

Where the numbers live now

Three honest options. A spreadsheet is fine at thirty SKUs and creaks at three hundred. Shopify metafields will hold the numbers on the supplier or product record, but Shopify notes those fields are for reference: they're "independent of purchase order ordering and receiving calculations," so nothing acts on them for you. Or the numbers live in the purchasing system that holds the history they were calculated from. In Sutler's case that's the imported purchase orders themselves, with each supplier's actual lead time learned from them.

What this page does not promise: no forecast accuracy. The worksheet is arithmetic on your own history, redone when the history changes. Sutler runs the same arithmetic for you, from your sales, real lead times and supplier minimums, and shows the math on every suggestion; it can also fire a Shopify Flow trigger when a product drops to its reorder point. It makes no promise about forecast accuracy.

Quick answers

Did Stocky export par levels or reorder points?

No. Par and min-max levels were never in the CSV export and never in the API. They have to be rebuilt from your sales history and your purchase order history.

How do you calculate a reorder point?

Reorder point = average daily sales × lead time in days + safety stock. At 4 sales a day, a 10-day lead time and 3 days of safety stock, the reorder point is 52 units.

Where do I get real lead times after Stocky?

From your purchase order export: the gap between each order's date and the date it was received. The quoted lead time is the brochure number; your receiving history is the real one.

Check your Stocky export first: two minutes, nothing uploads.

The free Stocky Export Checker reads your Stocky CSV files in your browser and tells you what is inside them: purchase orders, products, suppliers named on your orders, open orders still to arrive, and what is missing. It also builds a list of the suppliers you'll need to re-enter, because Stocky can't export them.

Check my export →

What Sutler doesn't do

What Sutler does and doesn't do: Sutler suggests what to reorder from your sales, lead times and minimums, with the math shown, but makes no promise about forecast accuracy, and it does not do transfers between locations. What it does is the purchasing desk: purchase orders, receiving, labels, stocktakes and landed cost, and it imports your Stocky export into working purchase orders.