WGSN, a global business intelligence and insights firm, announced Wednesday the expansion of access to its artificial intelligence (AI)-powered fashion buying platform to buyers across Asia’s major markets, including India, China, Japan, Korea, and Southeast Asia.

The firm said in a statement that this solution empowers fashion buyers across these leading Asian markets with predictive analytics, AI modelling, and a business intelligence tool, helping them optimize their decision-making on the global stage.

Designed with buyers in mind, the platform will allow users to validate and optimize next-season assortments based on tomorrow’s demand.

According to the statement, Asia is a dominant growth engine in the global consumer market.

Home to nearly 60 percent of the world’s consumer class, World Data Lab found that Asia is projected to add a billion new consumers and $15 trillion in spending by 2034.

Asia Pacific specifically, is forecasted by Euromonitor International to account for a majority of global retail sales growth from 2023 to 2028, with retail sales expected to grow 24 percent.

While growth opportunities are evident, WGSN’s Asia Shopper Priorities 2025 report highlights a fragmented landscape in Asia, shaped by distinct pricing sensitivities and unique consumer behaviors across different markets in the region.

Particularly as Asian brands emerge as the world’s trendsetters, unparalleled levels of agility and insight into global consumer intelligence will be the defining advantage in navigating unique cultural nuances and shifts in demand.

“Today’s fashion buyer must lead with precision and foresight,

“Our new platform underscores WGSN’s commitment to innovation, providing the predictive intelligence and analytics that transform reactive planning into data-backed
strategy,” said Monisha Klar, Director of Fashion, WGSN.

“On WGSN, buyers can now calibrate their historical information with the best-in-class forward-looking trend forecasts to make better, smarter assortment decisions, all while fitting seamlessly into their existing workflows,

“It’s about empowering buyers to confidently seize tomorrow’s opportunities, while preserving the essential human intuition that drives exceptional buying,” she added.

Combining WGSN’s trend expertise with advanced AI, the fashion buying platform is a single, intuitive hub that provides a comprehensive suite of actionable tools for decision making at every point of the buying lifecycle – from pre-season planning and development to in-season
hindsight.

The platform comprises three core features: assortment builder; the opportunity calculator and computer aided design-ready (CAD-ready) files.

According to the statement, the WGSN fashion buying platform is a streamlined interface that supports buyers in making data-backed decisions and understanding future trends.

By leveraging predictive analytics and future-facing data, it enables proactive planning and significantly contributes to reducing unsold inventory, fostering more sustainable business practices.

“The WGSN fashion buying platform is a tool to supercharge decision-making. Our platform’s access to trend forecasts, reports and tools equips buyers with unprecedented foresight into the broader Asian market landscape, allowing them to validate and refine assortments with confidence,

“The critical blend of data-driven projections and the buyer’s unique market intuition ensures that each major investment is precise and calculated,” added Wesley Choy, Senior Strategist, Fashion Buying, WGSN.

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