Tredence Pushes Agentic Commerce to Redefine Retail Personalisation

Tredence unveiled a new set of Agentic Commerce solution accelerators, marking a strategic push to help retailers move beyond point-level personalisation toward fully orchestrated, intent-driven shopping journeys.

The enterprise-grade accelerators were positioned as configurable starting points that allow retailers to design, build, and scale agent-driven commerce experiences, with Tredence claiming a reduction in time to value of up to 60%. The launch expanded Tredence’s broader accelerator ecosystem as retailers increasingly look to operationalise generative AI across omnichannel commerce.

From Touchpoints to End-to-End Journeys

As consumer expectations evolved, retailers faced mounting pressure to shift from optimising isolated interactions to managing cohesive, personalised journeys across channels. Tredence framed its Agentic Commerce approach as a response to this shift, using a coordinated “system of agents” that could sense shopper intent, reason across data signals, and act in real time.

Rather than deploying standalone AI features, the accelerators were designed to work together across the shopping lifecycle, enabling retailers to align discovery, engagement, and conversion under a single intelligence layer.

Inside the Agentic Commerce Stack

The Agentic Commerce accelerators included a set of specialised agents designed to address distinct stages of the shopper journey:

• Cosmos Customer Intelligence. The agent focused on building advanced shopper profiles by analysing behaviour, predicting actions, and modelling preferences to enable real-time personalisation.

• Personalized Content Generation Agent enabled on-brand, multi-modal content creation—spanning text, product descriptions, images, and video—delivered dynamically.

• Contextual Search Agent moved beyond keyword-based discovery to question-driven, context-aware search experiences.

• The Shopper Concierge Agent functioned as a GenAI-powered assistant, offering product recommendations and guided shopping support.

• Customer Engagement The agent orchestrated cross-channel messaging to drive conversions and long-term customer value.

Together, these agents were positioned to operate as an integrated intelligence layer rather than discrete tools.

Early Enterprise Use Case in Wellness

An early deployment of the agentic model was highlighted through Tredence’s work with Thorne, which launched “Taia, an AI-powered wellness advisor designed to address information overload in the health and wellness category.

The solution paired Thorne’s science-backed approach with Tredence’s data and analytics capabilities to deliver personalised, evidence-based guidance while supporting informed product decisions.

Chris Teufel, Chief Information Officer, Thorne, said, “Generative AI is integral to our business strategy, powering both Taia and our broader personalisation initiatives. Through our alliance with Tredence, we are leveraging advanced analytics to deliver individualised guidance at scale. We are effectively transforming how consumers engage with health information, reinforcing Thorne’s position as a technology-driven innovator.”

Commerce Moves Toward Agentic Systems

Tredence said the shift toward agentic architectures reflected a broader change in how intelligence was being embedded into commerce platforms.

Sumit Mehra, Chief Technology Officer and Co-Founder, Tredence, said, “Commerce today is turning towards agentic systems that can sense, reason, and act with velocity and accuracy. And the next phase of commerce will be defined by how intelligence is architected into the end-to-end shopper journey. Our Agentic Commerce Solution accelerators are designed to operationalise that shift, helping retailers turn real-time intelligence into meaningful and personalised customer engagements.”

Google Cloud as the Initial Launch Platform

Tredence launched the Agentic Commerce accelerators initially on Google Cloud, unveiling the solution at NRF 2026. Built on Google Cloud services, the accelerators were designed to be customised for each retailer’s operational, security, and compliance requirements.

Jose Gomes, Vice President, Retail & Consumer Goods, Google Cloud, said, “True transformation happens when advanced technology meets the right implementation partner. Tredence translates our AI capabilities into retail-ready, multi-agent systems that deliver measurable business outcomes from day one.”

While the initial showcase ran on Google Cloud, Tredence said the accelerators were architected for deployment across major cloud and data platforms based on enterprise needs.

NRF Spotlight and Broader Implications

Tredence showcased the Agentic Commerce accelerators at NRF 2026 at the Google Cloud Theatre at the Jacob K. Javits Convention Center in New York. The launch underscored a growing enterprise trend: retailers are no longer experimenting with generative AI in isolation but are seeking architectures that can operationalise intelligence across the full commerce stack.

For Tredence, the move positioned agentic systems as the next layer in retail transformation, where personalisation is no longer a feature but an adaptive capability built into the shopping experience itself.