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Review your top SKUs weekly, calculate days of inventory remaining, and reorder before you hit two weeks on hand.
15 units
last week and you have
8 units
and you have
60
you're overstocked—shift marketing spend to other items
Reformation deployed a new AI planning tool in Q3 2026 that improved in-stock rates across its retail and direct-to-consumer channels, according to Retail Dive. The sustainable fashion brand, which operates 40+ stores and a significant online business, used the software to predict demand at the SKU level and route inventory to the right channel at the right moment. The result: fewer stockouts on core items without the capital drag of excess inventory.
The tool ingests historical sales data, real-time web traffic, and external signals like weather and social trends to generate rolling forecasts for each product. Reformation's planning team then allocates production runs and distribution center shipments based on those forecasts. The AI updates predictions daily, so if a dress starts trending on Instagram, the system flags it for priority restocking before the spike burns out. The brand did not disclose the software vendor, but the approach matches the capabilities of platforms like Anaplan, o9 Solutions, and Blue Yonder.
The mechanism is demand smoothing. Physical product brands typically plan inventory in quarterly or monthly cycles, which means they lock in quantities weeks before customer behavior reveals itself. By the time a SKU sells through, the next shipment is already in transit—or worse, sitting in a warehouse while the item that actually moves is out of stock. AI planning compresses that cycle from weeks to days. Reformation's tool identifies which items will sell in the next 7-14 days and adjusts allocation before the gap appears. The brand avoids the twin costs of lost sales and clearance markdowns.
For a small physical-product brand, the same play runs on a spreadsheet and a weekly discipline. Start with your top 10 SKUs by revenue. Each Monday, pull sell-through rates for the prior 7 days from Shopify or your POS. Compare current on-hand units to the prior week's daily sales rate. If a SKU sold 15 units last week and you have 30 units left, you have a two-week runway. Flag it for reorder now, not when you hit zero. If another SKU sold 8 units and you have 60, you're overstocked—shift marketing spend to other items. Use a simple formula: (units on hand) ÷ (7-day sales ÷ 7) = days of inventory remaining. Anything under 14 days goes on the reorder list. Anything over 45 days gets a discount or a bundle.
The cost is time, not software. A solo founder can run this process in 30 minutes per week. Export sales by SKU, paste into a Google Sheet with your current inventory counts, apply the formula, sort by days remaining. The discipline is the asset. Brands that review inventory weekly catch problems while they can still fix them with a small reorder or a targeted email. Brands that review monthly eat the stockout or the markdown. Reformation's AI does the same math faster and with more variables, but the core insight is identical: inventory decisions are time-sensitive, and the brand that refreshes its view most often wins.
The broader pattern is that physical product operations are becoming software problems. Reformation's tool is expensive and complex, but the logic it automates—forecast, allocate, adjust, repeat—applies at every scale. The smallest brand can copy the rhythm with basic tools and a consistent schedule.
The branded-identity layer Chiefs of Staff and heritage CMOs route through — your name imprinted on real authorized stock, your pick of 200+ brands and 70,000 products, shipped from one accountable house. Nine editorial desks publish the intelligence those operators read before they sign.
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1997one house, since
70,000 SKUs · virtual proof in 60 seconds · no platform fee · blind-shipped · ASI #217876
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