Apparel planning is defined by long lead times, size-color complexity, unforgiving seasonality, and the pressure to commit to inventory months before demand is clear. Getting the wrong size mix, missing a trend, or allocating to the wrong stores compounds into end-of-season markdown exposure that erodes margin across the entire range.

An AI-powered, end-to-end planning platform that integrates and automates apparel planning decisions from pre-season buy through in-season management, across fashion, seasonal, and basic product categories.

Markdown exposure is reduced at every stage — through localized initial allocations that land the right sizes at the right stores from day one, in-season transfers that redirect slow-moving inventory before the selling window closes, and AI-driven markdown optimization that times and sizes discounts at the SKU level to maximize full-price sell-through.

Most apparel customers turn planning into a competitive advantage in 12–16 weeks, with measurable results in 3–4 months.

Yes. The same platform plans short-lifecycle fashion, seasonal ranges, and continuity basics, applying the right method to each.

Solvoyo customers reach 95%+ automation on daily operational planning decisions including initial allocation, store replenishment, transfers, and markdown optimization, freeing planners to manage exceptions and strategy.

Apparel retailers using Solvoyo have achieved significant improvements in full-price sell-through, inventory turns, and markdown reduction — with planning cycles compressed from days to hours and AI recommendation acceptance rates exceeding 90%. Customers report measurable working capital improvements within the first season, driven by more accurate initial allocations and faster in-season response to demand signals.