What is Scoop Analytics
Scoop Analytics is a Domain Intelligence platform that captures how top performers investigate business performance and scales that expertise across entire operations using AI agents. Designed specifically for multi-location businesses including retail, hotels, property management, and franchise networks.
How Domain Intelligence Works
The system uses structured playbooks and deep business context to guide autonomous AI agents. Every cycle follows a clear process: Screen all locations, Investigate anomalies, Synthesize findings, Report insights, and turn them into accountable Action plans with tracking.
Real-World Use Cases
A national retail chain used Scoop to replicate the judgment of one exceptional analyst who could spot failing stores six months in advance. Now every store is screened weekly with hundreds of probes. The platform integrates with Tableau, Power BI, Snowflake, CRM, ERP, POS systems, and data warehouses.
Key Benefits
Instead of relying on static dashboards, Scoop delivers proactive insights that traditional BI tools miss. It scales expert judgment across hundreds or thousands of locations, delivers findings directly in Slack, and creates specific action plans with accountability tracking.
Built by the founder of Birst (acquired by Infor), a cloud BI platform used by P&G, Fidelity, and 500+ enterprises. Scoop focuses on vertical industries, embedding domain expertise directly into the AI rather than offering generic horizontal tools.
Who It's For
Executives and operators in multi-unit businesses who need to know what’s happening before problems hit the P&L. Scoop offers a free trial and seamless Slack integration for asking natural language questions and receiving instant insights.
