Spangle launches product-data platform as AI shopping referrals grow

Spangle AI has introduced a product-data platform for retailers seeking to make their goods more visible to AI shopping tools, as the use of AI services to research and compare products grows.

The company says Product Intelligence 360 combines information about an item with sales performance, customer feedback and changing patterns of demand. It is available to enterprise retailers through application programming interfaces and product data feeds, and also supports Spangle’s ...

Spangle argues that conventional product catalogues, often built around technical specifications and search filters, do not give AI agents enough information to respond to questions about occasions, shopper intent or what customers think of an item. The platform is intended to provide that broader context, while allowing retailers to use it within their existing commerce systems.

“Your catalog knows a style number. Your shopper knows it as the shoe for their first marathon. We built Product Intelligence 360 to put what brands know about their products to work wherever shopping decisions happen,” said Maju Kuruvilla, Spangle’s chief executive and a former Amazon technology executive.

The launch comes amid signs that AI referrals are becoming more commercially significant. Adobe’s analysis of US retail traffic found that visits from AI services grew 71 per cent year on year in September 2026. Those visitors converted 90 per cent better than other traffic and generated 83 per cent more revenue per visit, the company reported. Adobe’s figures cover shoppers who clicked through from AI services to retailers’ websites, rather than activity that remained within an AI platform.

Adobe has separately forecast that AI referrals to US retail sites will rise 130 per cent over the 2026 holiday season. That is a projection of traffic growth, not a prediction of equivalent sales growth, and applies to the retail sector as a whole rather than to any individual company.

Spangle says its product is already being used in its AI Discovery service for Express. It describes a case in which shoppers asking ChatGPT about women’s casual trousers were shown competing retailers. Spangle says it matched the search demand to Express’s range and created shopping pages designed to be read by both AI systems and people.

The company reports that Express became the most-cited commerce source for that shopping query, and that revenue it attributed to AI was 14.5 times higher in September 2026 than in the preceding 30 days. Spangle’s own case study presents this as a before-and-after comparison, not a controlled test of the platform’s incremental effect. The reported figures therefore do not establish how much of the change was caused by the service.

The company also says its system identified demand for Western-inspired concert clothing during a major music tour and connected it with denim already held in stock by a fashion retailer. It did not name the retailer or provide figures for the results.

Spangle co-founder and chief technology officer Fei Wang said the platform combines product information with demand signals and sales data. “Brands need more than attributes. Product Intelligence 360 gives every product multi-dimensional context: how it performs, in which context, and what customers ask AI, together in one living record,” he said.

The company says retailers retain approval over changes before they go live, and names REVOLVE, Steve Madden and Alexander Wang among businesses using its commerce applications. The National Retail Federation’s company listing confirms Spangle’s presence in the retail technology sector and records its recognition for an AI-driven marketing solution, but does not independently assess the new product or its performance claims.

Source: Noah Wire Services