Case Study: Stamped achieves cross-tool intelligence and faster support insights with Adapt

A Adapt Case Study

Preview of the Stamped Case Study

Stamped saves 3 to 6 hours per insights pull with Adapt

Stamped, an e-commerce reviews platform, faced a challenge with near-zero AI adoption and deeply siloed data across 15 different tools. This made extracting customer insights from Zendesk a 3-6 hour manual process and prevented cross-functional analysis, leaving critical product and support decisions unmade. They turned to the vendor Adapt for its integrated AI coworker solution to connect their disparate systems.

By implementing Adapt, Stamped connected all 15 of its tools, giving every department access to a unified intelligence layer. The solution saved 3-6 hours per Zendesk insights pull, which the team could now run biweekly, and enabled over 42,000 messages in three months. More importantly, Adapt empowered teams to make entirely new data-informed decisions that were previously impossible, transforming how the company operates.


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