Trend-forecasting company WGSN has launched a fashion-planning tool known as TrendCurve+. The tool combines data sources across social, search, shelf, shows and sentiment with advanced machine learning to guide customers on their investments in trends. The tool is almost 90 per cent accurate in prediction. It is able to predict trends 12 months ahead on a variety of different key items including silhouettes, prints, colors and design details that allow brands to wisely invest for future demand. The TrendCurve+ platform also allows consumers to see a current trend’s life cycle and how to best capitalize on it. It also reduces overstock and other inventory waste.
WGSN has also released a sample report of TrendCurve+ to demonstrate the expectations for the women’s knit-tops category. The report shows the knit tops sales sustained throughout 2021 and are forecasted at 23 per cent of total apparel for Fall/Winter ’23. The TrendCurve+ report also found that knit tops have increasingly been featured on the runway, with the number of knit tops in pre-Fall and Fall/Winter shows more than doubling compared to pre-pandemic numbers.
TrendCurve+, also enables WGSN to advise its clients on ways to reduce certain styles and where to invest in others. Based on the analysis of its clients, WGSN recommends decrease in share of dresses, rebalancing dress mix, reducing the amount of puff-sleeved dress products and investing more in loungewear and leggings.
WGSN recently also launched WGSN Consumer Tech, a new vertical dedicated to helping companies design technology products that enhance the lives of consumers.
