Signals Analytics Launches 'Apparel' Insight Tool

New York and Israel-based Signals Analytics has launched an AI-driven tool called Apparel, to help fashion brand clients understand and predict consumer sentiment, and competitor actions.

Kenshoo-owned Signals combines market research with AI to extract context from uncorrelated external data sources, across a wide range of sectors. Its new tool connects data from more than 13,000 external sources - including Instagram, Target, Macy's, Walmart, Amazon, Zappos and Nordstrom - to offer contextualized insights across the consumer, competitive and commerce landscape and help clients launch go-to-market strategies.

Apparel helps clients to reduce the time between product development and launch, anticipate fashion trends to improve product design, prioritize concepts and product lines, and generate merchandising and marketing strategies. It is also designed to help understand why consumers buy certain products and brands.

Guy Cohen (pictured), Chief Product Officer, comments: 'Fashion has always been regarded as a creative rather than data-driven field, lagging behind in insight-driven decision-making. By layering in advanced analytics and predictive capabilities such as those in Signals Analytics, brands can balance the art with science, using data-driven insights to create product lines that speak to what will actually push consumers to add items to their online carts'.

Web site: www.signals-analytics.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.