Description
Scoop (Scoop Analytics) is an AI performance management platform for distributed businesses such as retail chains, restaurant groups, hotel portfolios, franchise networks, and PE rollups. Rather than being a dashboard or a chat layer, it automatically diagnoses what is happening at every location every reporting cycle, explains why, and delivers a clear, role-specific action plan to each manager. It screens every location against plan, history, and peer benchmarks, flags meaningful deviations, runs full root-cause diagnostics, and tracks whether the recommended actions moved the needle.
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Scoop works alongside existing BI tools like Power BI, Tableau, and Looker rather than replacing them, connecting to your data warehouse with read-only credentials and picking up where BI leaves off. It is built on a four-layer architecture: an enterprise context layer that codifies your best operators' tribal knowledge, an analytical orchestration layer that runs best-practice diagnostics, sophisticated analytical tooling beyond simple queries, and an LLM as the intelligence engine. This lets it scale the judgment of a company's best operators across every location and management layer without manual prompting.
Scoop is best suited to organizations with 50 or more locations that share standardized KPIs and have an existing BI stack. Implementation reaches a live pilot in as little as four weeks, driven by structured discovery conversations that capture organizational knowledge. Pricing is tailored to footprint and complexity, with AI inference costs billed separately and controlled through intelligent model routing. Scoop is SOC 2 Type II compliant with strict data separation between client engagements.
- CategoryBusiness Intelligence
- Pricing ModelContact sales
- DeploymentCloud
- PlatformsWeb
Scoop Analytics's Core Features
Automatic performance diagnosis at every location every cycle
Role-specific, plain-language action plans for each manager
Root-cause analysis triggered by detected deviations
Screening against plan, history, and peer benchmarks
Codification of best operators' tribal knowledge
Closed-loop tracking of whether actions moved the needle
Layers on top of existing BI stacks (Power BI, Tableau, Looker, and 100+ more)
Read-only data access with SOC 2 Type II certification
How to use Scoop Analytics?
Book a discovery call: Discuss your industry, location footprint, and performance variation to check fit.
Connect your data: Scoop connects to your existing BI-ready data warehouse with read-only credentials.
Codify your knowledge: Capture your best operators' diagnostic logic through structured discovery conversations.
Go live: Reach a pilot in as little as four weeks with automated screening across every location.
Act on the plans: Managers receive action plans each cycle, and Scoop tracks whether the actions worked.
Scoop Analytics's Use Cases
- Multi-location retail
- Restaurant groups
- Hotel portfolios
- Franchise networks
- PE rollups
