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The Stash EdgeISABELLA'S ISLAYNovember 8, 20263 min readAd-free
Reformation's AI planning tool lifted in-stock rates across full inventory, Q3 earnings confirm
The sustainable fashion brand used algorithmic forecasting to keep shelves stocked while avoiding overproduction—and smaller brands can run the same play.
Track early sell-through, flag fast movers at 50% sold, and shift next order quantities before production locks.
fewer than 10 units in 30 days
cut that variant from the next order and reallocate…
$10,000 to $50,000 per production run
reallocating even
20 percent
of unit count toward faster movers can lift sell-through…
30 percent remaining inventory
That gives you two weeks to decide whether to…
Reformation reported improved in-stock rates across its product line in the third quarter after deploying a new AI planning tool, according to Retail Dive. The Los Angeles-based sustainable fashion brand tied the inventory win to earnings growth in the same period, marking one of the clearest documented cases of algorithmic forecasting paying off for a physical-product retailer.
The tool forecasts demand at the SKU level and adjusts production orders before fabric is cut. Reformation ran the system in parallel with its existing planning process for one quarter, then switched over fully in Q3. The brand did not disclose the vendor or the specific percentage improvement in in-stock rates, but confirmed the lift was material enough to appear in earnings commentary.
The mechanism is simple: most apparel brands order fabric and cut garments four to six months before a product hits the floor. By the time the first units sell, it is too late to reorder without missing the season. AI planning pulls forward the decision point. The algorithm ingests prior-year sell-through, web traffic, search volume, and early pre-order data, then flags which styles will likely sell out and which will sit. The planner cuts more units of the former and fewer of the latter before production locks. In-stock rates rise because the brand makes more of what people want. Overstock falls because it makes less of what it does not.
Reformation has an additional constraint: it positions itself as a sustainable brand, so overproduction carries reputational cost. The AI tool let the company thread that needle—higher availability without excess inventory. For a brand selling $300 dresses, each percentage point of improved in-stock rate translates directly to revenue that would otherwise walk out the door when a customer finds her size sold out.
A small physical-product brand can run a simpler version of the same play without enterprise software. Start by tracking which SKUs sell out first and which sit past 60 days. Export your sales data weekly and sort by units sold per SKU. If a product sells half its inventory in the first two weeks, flag it for immediate reorder or size-mix adjustment on the next production run. If another SKU moves fewer than 10 units in 30 days, cut that variant from the next order and reallocate the budget to proven sellers. Most contract manufacturers allow a final order adjustment up to 30 days before production; use that window to shift quantities based on early read. The cost is zero—just a spreadsheet and a standing call with your manufacturer. For brands spending $10,000 to $50,000 per production run, reallocating even 20 percent of unit count toward faster movers can lift sell-through enough to fund the next order without new capital.
If you have a Shopify store, install a free inventory app that sends a Slack alert when a SKU drops below a set threshold. Set the trigger at 30 percent remaining inventory. That gives you two weeks to decide whether to reorder or let it sell out. Pair that signal with your manufacturer's lead time, and you have a manual planning loop that mimics what Reformation automated. The discipline is the same: measure, flag, adjust before it is too late.
The broader pattern is that AI planning is no longer a luxury reserved for publicly traded apparel brands. The same logic—forecast, adjust, avoid the extremes of stockout and overstock—works at any scale. Reformation proved the return in a quarter. A solo founder can prove it in a single production cycle.
Export weekly sales, sort by SKU, and shift your next production run toward anything that sells half its stock in two weeks.
For the operator
Install inventory threshold alerts at 30% remaining and negotiate a 30-day order adjustment window with your manufacturer to capture early signals.
For the house
Request vendor SKU-level sell-through data before placing follow-on orders; reallocate budget toward items clearing fastest to reduce stockout and excess.
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