This AI business intelligence agent lets a restaurant owner ask questions about their business in plain English and get answers from their own data. I built it around the data of a BBQ restaurant.
The problem
Restaurant owners have plenty of data in their sales and order systems, but little time to dig through reports. Questions like “what sold best last weekend?” or “are we prepping too much brisket?” often go unanswered.
What I built
- Plain-English questions to SQL. The owner types a question, and the agent turns it into a SQL query on the restaurant’s data and returns the answer.
- Forecasting. The agent forecasts demand, to help plan prep and staffing.
- Anomaly detection. It flags numbers that look unusual, so problems surface without anyone having to go looking.
Design choices
- Questions, not dashboards. Owners shouldn’t need to learn a reporting tool to get an answer.
- The data stays the source of truth. Answers come from querying the real data, not from the model’s guesses.
Where this applies to your business
Any business with sales, order or booking data and no time to analyse it: restaurants, retail, ecommerce and service businesses.
Related services: AI business dashboards · Machine learning consulting
Book a free consultation to talk about your data.
Waseem Hassan
Founder & CEO, NexaIntellect AI
AI/ML engineer building LLM agents, RAG systems and automation for growing businesses.
