Stitch Fix uses AI to analyze aggregate client behavior signals — including Style Shuffle responses to items not yet purchased — to produce trend forecasts and inform purchasing and vendor partnership decisions. This practice supports the merchandising team's buying strategy.

By aggregating millions of client preference signals, Stitch Fix's models can identify emerging style trends before purchasing inventory. The CTO described using this for Stitch Fix's publicly released annual Style Forecast, which predicted 2023 trends such as 'cabincore' and the color 'clementine.' The models also help identify gaps in the existing assortment that Stitch Fix fills by developing private label items or sourcing from vendors. Style Shuffle's inclusion of items Stitch Fix has not yet purchased serves as a pre-purchase market signal.