
Gift shoppers who cannot phrase a keyword search get a curated recommendation out of a conversation instead.
Guided, sourced product recommendations on the storefront, live in under 90 days and owned by the brand end to end.
A storefront assistant that asks what a shopper needs, recommends one wellness device, cites the research, and checks out in the chat.
Asks about goal, budget, and lifestyle, recommends a product, explains the research behind it with sources, then adds to bag and checks out in the chat.
Therabody sells at the meeting point of consumer goods and medical devices, and it operates as an FDA-regulated manufacturer. Shoppers arrive with very different goals: recovery for a training routine, relief from everyday aches, stress or restless sleep, or anti-aging. In that setting a wrong recommendation costs more than a returned product, because it can steer someone away from the solution they came looking for, and shoppers want confidence that the right evidence supports the product they are shown.
After evaluating the market, Therabody concluded that turnkey tools built for general audiences did not give it the level of control its category requires over product claims. The company also sells through more than 10,000 retail doors, so it carries customer-experience obligations both as a brand and as a retail partner.
Jason runs on Therabody's own infrastructure on the Agentic Shopping Assistant on AWS, with Anthropic Claude Haiku 4.5 as the model behind its answers. The chat surface is the branded Chat to Shop button on Therabody.com. Commerce actions are handled by Shopify, so a shopper can add an item to the bag and check out inside the conversation.
Custom context and guardrails bound what the assistant may say about product claims and are revised as Therabody iterates. Answers are grounded in Therabody's own research, with the sources cited in the chat next to the recommendation. Custom dashboards carry the success metrics, so tracking performance did not require a new analytics team.
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Everyone credited on this solution
Every organization named here has a page listing the rest of its work on the Hub.

Gift shoppers who cannot phrase a keyword search get a curated recommendation out of a conversation instead.

Merchandisers act on performance questions without leaving their workspace, and nothing the agent proposes applies without approval.

Take a shopper from search to confirmed order in one conversation, personalized from the first message.
Contributor submission
The detail on this page comes from the contributor's own account of their own work. The MACH Alliance reviews a submission before publishing it and does not independently verify the figures in it.
What this page does not establish
Where this came from
Drawn from AWS's customer case study, October 2026, and Therabody's launch announcement of October 21, 2026.
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