How RehabAI Cut Trend Forecasting Time by 70% Using AI-Driven Analysis

tl;dr: By implementing AI-assisted trend forecasting, teams can extended their trend visibility from 7 weeks to 20+ weeks, reduced forecasting time by 70%, and improved trend-driven product performance by 18%.

The Turning Point

Retailers face a significant challenge: their merchandising teams can’t see beyond a 7-week horizon for trend forecasting. This limited visibility was affects their ability to make proactive buying decisions and frequently leaving them playing catch-up with competitors.

Many retailers have strong analytics and merchandising teams, but their processes for identifying and validating trends are fragmented across multiple departments and systems. By the time trends are validated and incorporated into merchandising decisions, competitors have often already brought similar products to market.

Retailers need solutions that extend their trend visibility horizon while making the entire process more efficient. This is where AI can transform approaches to trend forecasting.

Experience Trend Agent - Subscribe to see the video demo illustrating how AI can help extend trend visibility horizons by integrating your existing data sources into a more efficient system.