Restaurant Intelligence
Reports that took days, answered in seconds
A restaurant operator
Days to seconds
time to an answer for operational leaders
Weeks to near real time
time to catch a financial anomaly
01 / Challenge
The problem.
Operational teams and business leaders needed different views of the same numbers. Most had neither the time nor the training to dig through traditional BI tools.
02 / Approach
How we built it.
We connected business data to semantic models and built conversational interfaces for reporting and decision-making. Feedback analytics, anomaly detection, and automated briefings help teams identify issues and prioritize follow-up.
03 / What we built
The system.
01
Conversational BI across operational and financial data
02
Feedback analytics with AI classification
03
Anomaly detection with prioritized alerts
04
Automated briefings and scheduled reports
04 / Outcomes
What changed.
Leaders get answers directly instead of waiting on analyst-built reports
Guest insights once buried across platforms now reach the teams who can act on them
An always-on analytical layer that supports operational decisions without adding headcount