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Reporting AI

Ask any question. Get the answer and the chart.

Reporting AI is a natural-language interface across every operational and financial data point Nova captures. No more building Power BI dashboards for questions that change weekly. Ask. Answer. Source.

What is Reporting AI?

Reporting AI is Nova's natural-language analytics layer. Ask any operational or financial question in plain English โ€” about a store, a daypart, a menu item, a server, a campaign โ€” and Reporting AI returns the answer, the chart, and a citation to the underlying data row. Every answer is grounded; nothing is generated unsourced.

Cafe barista at espresso machine
BENEFIT 01

Plain English in.
Sourced answer out.

"Why are voids up at store 412?" "Which day-parts under-perform vs forecast?" "Compare margin on burger vs salad over the last 8 weeks." Reporting AI answers each โ€” with a chart, a written summary, and a link to the rows it pulled from.

  • Natural-language questions across every module
  • Cited sources on every answer
  • Chart-ready output, exportable as image or PDF
  • Save and re-run questions on a schedule
Cafe manager reviewing reports
BENEFIT 02

Insights you'd never have built a dashboard for.

Reporting AI surfaces patterns operators didn't think to ask about โ€” and would never have built a dashboard to find. The dessert cart that outperformed the menu. The Wednesday lull that's actually a staffing problem. The server-section combination that lifts ticket 12%.

  • Proactive surfacing of anomalies and opportunities
  • Cross-module insights (e.g. labor ร— inventory ร— guest)
  • Per-location, per-brand, per-daypart granularity
  • Saved to Manager Copilot for follow-up actions
Restaurant manager at a service counter
+18%
Sales lift from one surfaced Reporting AI insight (Bayou Bistro)
BENEFIT 03

Reporting that ops teams actually use.

Because Reporting AI works on the same data layer as POS, KDS, online ordering, loyalty and workforce โ€” there's no data engineering between question and answer. Ops directors get the answer in the same conversation they were already having.

  • Zero data engineering between question and answer
  • Works in Slack, Teams, email, or Manager Copilot
  • Schedule recurring reports โ€” "every Monday at 9am"
  • Role-based access โ€” what a GM sees vs what a CFO sees
Cafe service counter
Real example โ€” Bayou Bistro

Reporting AI surfaced that a dessert cart outperformed the printed dessert menu by 18% โ€” generating $25,000 in incremental revenue at one location. The CEO didn't ask the question; Reporting AI surfaced the pattern from cross-channel order data.

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Stop building dashboards. Start asking questions.

20-minute walkthrough. Bring the hardest operational question you couldn't get answered last week; we'll show you Reporting AI's answer in 30 seconds.

Barista at a cafe espresso machine