Step 01 · Analytics Engine
Available todayWhat happened?
Volume per cooler by outlet class, region, and cooler age.
Which cooler cohorts have paid back. Which outlets hold a cooler and underperform their class. Where coolers sit idle or stocked with competitor product.
UC / coolerunderperforming cohort
age (mo)
Terms on this page
- Visi-cooler
- A glass-door refrigerator a bottler places in an outlet to chill and display its product.
- Capex
- Capital expenditure: here, the money spent buying and placing coolers.
- UC
- Unit case: the beverage industry’s standard measure of volume.
- Cohort
- A group of coolers compared together, such as those placed in the same period.
How the Analytics Engine gets there
- 01Our proprietary agentic orchestration interprets the intent and translates it into structured SQL. Nothing else is asked of the model.
- 02Generated SQL is validated against the live schema before it runs, connected read-only to the databases, ERPs, and CRMs already in place.
- 03The database executes the query and returns rows, deterministically, from the company’s own records.
- 04Results render as charts, get pinned into living dashboards, or carry alert conditions that run against fresh data.
Available today. Live and deployable today, cloud or on-premise.
Explore the Analytics EngineWhat changes
The relay today
Leader → analyst → database team → dashboard → review. Days later, a chart answering last week’s question.
With Theovya
The person with the question gets the answer directly, in seconds, from live data.
Same budget. Different outlets. The delta between a judgement-based allocation and an optimized one is the entire argument for the third engine.