Stocky is gone. Here is what actually broke.
Last updated 22 September 2026
Stocky was pulled from the Shopify App Store on 2 February 2026 and shut down completely on 31 August 2026. If you are reading this you have probably already found the annoying part: it was never one tool. It was two, and only one of them has an obvious replacement.
The two halves of Stocky
Stocky did the paperwork — purchase orders, receiving, supplier records, cost history. It also did the thinking — what is going to run out, when to reorder it, and how many to buy.
Most of the replacements people are naming right now do the paperwork. That half is crowded and cheap. The thinking is the half Shopify admin still does not cover at all: there is no forecasting and no reorder suggestion built in, only low-stock alerts. So if what you miss is a screen that told you what to buy this week, a PO tool will not give it back to you.
Work out which half you are actually missing before you pick anything. It is the single thing that decides whether you will be happy in a month.
What you lost that nobody can get back
Your data was not migrated for you. If you exported CSVs before the shutdown, keep them somewhere safe. They import into most tools fine.
Supplier records were never exportable at all. Stocky had no export for them. Not a bad one, none. So no replacement can offer you a one-click supplier migration, no matter what the marketing says, because the file does not exist for anybody.
The part of that which actually costs you money is lead times. How long each supplier really takes is the most sensitive number in any reorder calculation — every reorder date moves with it — and for most merchants it lived nowhere except inside Stocky. If you can still remember it, write it down today, before a year passes and you are guessing.
Four questions worth asking any replacement
These are the places tools go quietly wrong. Quietly is the problem: none of them throws an error, the numbers just drift.
1. Does it take past stockout days out of the sales rate?
If a product was unavailable for three weeks, those days show up as zero sales. They were not weak demand, they were no stock. A tool that averages them in reads the product as a slow mover and tells you to order less of it — which is to say, it under-orders the exact item that already sold out on you, and then does it again.
2. Can you see the arithmetic?
"Order 40" is not much use on its own. You cannot tell whether it assumed a 7-day or a 30-day lead time, or how much of the 40 is buffer. If the calculation is visible you can read it, think my supplier is nearer 25 days than 15, and fix a real error in your own settings. If it is not, your only options are trust it or ignore it.
This matters more now than it did a year ago. Most people are running on a tool they have had for three weeks rather than three years, so nobody has any instinct yet for when it is wrong.
3. How far back can it read?
This one almost nobody asks, and you cannot tell from the outside. Shopify gives most apps only the last 60 days of order history. An app limited to that window spends your first months guessing while it slowly builds an archive of its own — and those months are exactly when you are deciding whether to keep paying for it.
Apps can apply to Shopify for full order history access. It is reviewed and granted case by case. Worth asking whoever you are evaluating whether they have it.
4. What happens to the price when you grow?
Per-order and revenue-based pricing is common in this category, and the most frequent complaint in the reviews of these apps is a bill that quietly multiplied after a good month. Check whether the number you are quoted is the number you keep paying.
What it costs, roughly
As of September 2026, the established forecasting tools sit somewhere between about $50 and $250 a month, several of them quote-only, and the PO-focused apps cluster well below that. There is a real gap in the middle — too expensive to be a spreadsheet, too small to justify an ERP. That gap is most of the people who were using Stocky, which was free.
A practical order to do this in
- Find any CSVs you exported before 31 August and put them somewhere you will find them again.
- Write down your supplier lead times while you still remember them. Days, per supplier. A spreadsheet is fine.
- Decide which half you are replacing: the thinking, the paperwork, or both. Do not pay for both if you only lost one.
- Try whatever you pick against products you already understand. If it tells you something you know is wrong about your own bestseller, it will be wrong about the products you do not watch as closely.
Where we come into this
We build BuyAhead, so read the above with that in mind. It started from the thinking half: days of stock left, a reorder date and quantity for every product, buffer worked out from each product's own demand swings, dead stock with the cash sitting in it, and the full calculation printed under every number so you can argue with it.
On the four questions above: stockout days are excluded from the sales rate, every number shows its arithmetic, Shopify has granted us full order history access so the forecast starts from your real past rather than 60 days of it, and the price is flat — it does not move with your order count or your revenue.
It is $19/month for the forecasting on unlimited products, and $49/month if you also want the paperwork: purchase orders, receiving into a specific location, barcode stock counts, transfers, stock valuation, landed cost and supplier records with lead times.
What it does not do, since this page would be worth less if it left this out: it does not handle seasonality yet, and it cannot import your Stocky suppliers in one click for the reason given above — nobody can. What it does instead is read whatever spreadsheet you do have and guess the columns, and you correct the guess.
Try it against your own numbers
Both plans are free for 14 days and neither asks for a card. Setup takes a couple of minutes because there is nothing to fill in — it reads the sales history already in your store and the numbers are there when you open it.
The useful thing to do with the trial is point it at three products you already know well and see whether it agrees with you. If it does not, we would genuinely rather hear about it than have the install.