Scoop Analytics
Scoop is AI performance management for distributed businesses that diagnoses performance at every location each cycle and gives managers a clear action plan.
About Scoop Analytics
Scoop Analytics
Scoop is positioned as the next step after business intelligence (BI). According to the page, it layers on top of an existing BI stack such as Power BI, Tableau, or Looker, screens every location each reporting cycle, runs automated diagnostics codified from a company's best operators' judgment, and delivers plain-language action plans to store, district, and regional managers. It also tracks which actions were taken and their effect on numbers. The page states it has no chat interface and requires no prompting, and that it is SOC 2 certified with private deployment, bring-your-own model credits, and data portability options. Example figures on the page are labeled as illustrative for a fictional retailer.
Key features
- Automated diagnostics that screen every location every reporting cycle
- Plain-language action plans for store, district manager, and regional VP roles
- Codified operator judgment encoded into versioned, auditable rules
- Layers on top of existing BI tools such as Power BI, Tableau, and Looker
- Closed-loop tracking of actions taken and their impact on performance
- Briefings for district managers and location reports for stores
- Private deployment in the customer's own cloud
- Bring-your-own model provider credits
- Data portability and exportable data, knowledge layer, and action history
- SOC 2 certified, read-only access, strict data separation, data not used to train models
Best suited for
- Retail businesses with many locations
- Food and beverage businesses with multiple locations
- Hospitality businesses managing properties
- Franchise businesses
- Private equity firms with rollup portfolios of acquired companies
Pricing
Not stated on the website
Discussion
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