Case Study: Zoro cuts ad-hoc analytics backlog with WisdomAI

Zoro cuts ad-hoc analytics backlog with WisdomAI

Zoro, a B2B eCommerce company, faced a high volume of ad-hoc analytics questions that created a significant backlog and inconsistent answers. With 20-25 questions per day arriving via Slack, their analysts were overwhelmed, and mid-level leaders lacked a way to self-serve reliable data. Zoro needed a governed solution to address this challenge without replacing their existing Looker dashboards or compromising on security, turning to WisdomAI for its natural-language analytics service.

WisdomAI connected to Zoro's BigQuery environment, grounding its answers in the company's existing data dictionary and LookML definitions to ensure consistency with official reporting. The solution provided self-serve Q&A with visible SQL and exportable outputs, enabling product and business leaders to get trusted answers immediately without analyst involvement. This dramatically reduced the volume of questions flowing to analysts, allowing teams to move faster on data-driven decisions.

Zoro