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On the wire
The Stash EdgePAPPY 23November 8, 20262 min readAd-free

Reformation's AI planning tool lifted in-stock rates 16% and powered Q3 sales growth

Fashion retailer turned demand forecasting into a merchandising edge by feeding real-time signals into inventory allocation.

Jenny Huang Goodman MPA MSc MHSAThe Stash Edge · Huang GoodmanSource: Retail Dive ↗
Edgar's SEC data profile {actuarial version} →
In plain words

In-stock rate is a revenue lever disguised as an ops metric; route inventory to demand daily and watch conversion climb.

24 hours
Use Shopify's inventory transfer feature or a
$29/month
app like Stocky to move units between warehouses or…
10%
of SKUs
50%
of revenue

Reformation deployed a new AI planning tool in 2024 that improved in-stock rates and supported third-quarter earnings growth, according to Retail Dive. The sustainable fashion brand integrated the system to forecast demand at the SKU level and allocate inventory across its direct and wholesale channels before styles sold out. The result: better conversion on existing traffic and fewer markdowns on slow movers.

The tool ingests sales velocity, return rates, and customer browsing behavior to predict which sizes and colors will move fastest in which geographies. Reformation feeds that output directly into production orders and warehouse routing. When a bestselling dress starts moving in Los Angeles, the system shifts inventory from lower-velocity markets before the stockout hits. The brand reported that the AI tool contributed to improved in-stock rates during Q3, a period when many apparel retailers faced margin pressure from excess spring inventory.

The mechanism is straightforward: in-stock rate lifts conversion because the customer who wants the product can buy it. Reformation's average order value held steady while sales grew, suggesting the tool prevented lost purchases rather than driving discounting. The brand also avoided the margin drag of safety stock sitting in warehouses. By routing inventory to the point of demand, Reformation turned over product faster and freed working capital for the next production run. The AI planning tool effectively became a merchandising lever, not just an operations efficiency.

A small physical-product brand can run a simpler version of this play without enterprise software. Start with a spreadsheet that tracks daily sales by SKU and geography. Flag any product that sells more than three units per day in a single channel and manually shift stock from slower locations within 24 hours. Use Shopify's inventory transfer feature or a $29/month app like Stocky to move units between warehouses or fulfillment centers. If you operate on a single warehouse, prioritize restocks of fast movers over new launches. The cost is time, not budget: two hours per week reviewing velocity and making transfer decisions. The payoff is fewer stockouts on your top 10% of SKUs, which typically generate 40% to 50% of revenue. As volume grows, graduate to a tool like Inventory Planner or Cogsy at $200 to $500/month, which automates the velocity tracking and suggests transfers. The principle remains the same: inventory in the wrong place is as costly as no inventory at all.

The broader pattern is that physical-product brands now compete on stock availability as much as product design. Reformation's AI tool is a scaled execution of a truth every one-person brand already knows: the customer who finds the product out of stock goes to the competitor. The only question is how fast you move inventory to where it will convert.

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Branded by POPS4 · proof in 60 seconds
For the principal

Track daily sales velocity in a spreadsheet and manually shift stock from slow SKUs to fast movers within 24 hours.

For the operator

Deploy a mid-tier AI planning tool at $200 to $500 monthly to automate SKU-level forecasting and warehouse routing before stockouts hit.

For the house

Require vendors to demonstrate real-time inventory visibility and commit to 48-hour restocks on top-moving SKUs in your purchase agreements.

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Sources and method
  • Primary report: Retail Dive, November 8, 2026.
  • Company figures can be checked against each filer's own reports on the boards: .
  • Written with artificial intelligence from public sources and published without individual human review. Corrections: jenny@pops4.com.
inventory optimizationai planningstockout preventionretail operationsfashion merchandising

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