PriceSpider unveils Wayvia to advance AI-driven retail insights

Technology provider PriceSpider has announced the introduction of its new brand, Wayvia, bringing to market a suite of products designed to support brands as they navigate an increasingly complex, AI-driven commerce environment.

Wayvia builds on PriceSpider's experience, drawing on over two decades of shopper and retail intelligence. The new brand's product strategy expands on PriceSpider's previous offerings, now integrating deeper artificial intelligence capabilities and broadening its media and data solutions for brands seeking to drive revenue across multiple channels.

AI infrastructure

Central to Wayvia's launch is the debut of Wayvia MCP (Model Context Protocol), an AI infrastructure that utilises more than 20 years of company data on shopper behaviour, pricing intelligence and market trends. The infrastructure is designed to provide brands with direct, natural language access to product and market data, removing the need for traditional dashboards, SQL databases or manual queries.

The company states that Wayvia MCP is the first enterprise-grade solution of its kind, giving AI agents secure, native access to commerce data by implementing the Model Context Protocol directly into its system.

"Wayvia reflects our belief that the future of commerce will be shaped as much by intelligent systems as by human decisions," said Anthony Ferry, CEO of Wayvia. "As AI agents and algorithms increasingly influence how products are discovered and purchased, brands need more than traditional dashboards - they need infrastructure built for AI. And Wayvia MCP is our commitment to giving brands the tools to compete, adapt and lead in this new era of commerce."

Changing shopper journeys

Wayvia's launch signals a response to what the company sees as a shift in retail, where shopping behaviour is becoming less linear and more influenced by algorithms, personalised recommendations, and AI-powered pricing and inventory updates. With retail and shopper intelligence available from any channel, brands are able to access more detailed insights into customer behaviours and optimise the path to purchase, whether in offsite advertising, onsite experiences or through AI agent-driven commerce solutions.

The company's stated aim is to provide a smarter path to revenue for brands. This involves equipping them with the visibility, analysis and tools needed to compete within a retail space that has become more complex with the increasing use of digital and omnichannel selling strategies.

Core areas

According to Wayvia, its core product areas include the activation of omnicommerce path and audience data, the connection of shoppable media with retailer transactions, and the provision of retail intelligence that includes product-level price, availability, channel performance and AI-supported decision making.

Wayvia's approach allows brands to apply analytics and AI to power operations and customer journeys, aiming to make shopping experiences more efficient while providing better visibility into real-time data such as pricing and stock availability.

Evolution from PriceSpider

PriceSpider was originally formed as a price-comparison tool and went on to develop "Where to Buy" technology as part of its service to brands. Over the years, the business evolved into a broader platform aimed at full-funnel omnicommerce performance, supporting brands' adaptability as the retail landscape changed.

The renaming and relaunch as Wayvia marks a formal transition to a wider technology focus, with the company maintaining its foundational strengths such as a stable leadership team, reliable client solutions and strong industry partnerships.

Wayvia states that it remains committed to enabling global brand growth, with its expansion intended to reflect increased capacity to deliver insights and strategic value through data, AI, and commerce intelligence.

With Wayvia, clients are expected to have access to the global network of retailer and media partners that PriceSpider had developed, while benefiting from new capabilities derived from AI and advanced analytics.

The changeover keeps in place the core features and partnerships that established the company's credibility, while broadening the set of tools available to brands to engage customers in today's retail environment.