Deployment record
In the tracker →- Organisation
- QSRP
- System
- Oracle’s AI agents
- Stage
- Pilot
- Function
- order management
- Built on
- Oracle
- Scale
- 1,500 restaurants, 8,000 employees
- 01QSRP, the restaurant group behind Burger King Italia, is testing Oracle's AI agents to identify unconfirmed orders and stock shortages in real-time.
- 02The AI agents utilize sales, inventory, and demand data to predict items at risk of running out and assist in managing delivery workflows.
- 03QSRP operates around 1,500 restaurants and employs approximately 8,000 people, aiming to support more locations with the same workforce through AI.
Show all 5Show less
- 04The pilot's expansion will depend on the reliability of data, effectiveness of the tools, and managers' trust in using them during shifts.
- 05Oracle plans to release its Operations Command Center for Restaurants in early 2027.
QSRP
Follow Deployed on Google
Uber Eats orders are coming in during the dinner rush, but a restaurant terminal has stopped confirming them. A manager can see when tickets start piling up in the kitchen. It’s harder to spot the order that never makes it there, especially when the customer is already waiting for dinner.
That was the scenario Fabio Fazzino, Group Chief Information Officer at QSRP, walked through at Oracle AI World in Las Vegas. An AI agent alerted him on his phone and suggested restarting the terminal. Fazzino had to decide when he could take it offline without disrupting the shift.
“The agent suggests a restart. I can’t restart it now. I'll schedule the restart to avoid disruption to my team and customer,” Fazzino said, live at the keynote.
QSRP, the restaurant group behind Burger King Italia, is testing Oracle’s AI agents in Italian restaurants to see whether managers can catch unconfirmed orders and stock shortages while there’s still time to act.
From Stock Shortages to Delivery Claims
Restaurant and district managers helped Oracle engineers decide which problems the agents should tackle. “The restaurant teams, the restaurant managers, they’re really the ones telling us what issues we should focus on and how to approach these issues,” said Sophie Buresi, Group Head of AI at QSRP.
The week's store, brand and commerce deployments. Fridays.
One agent uses sales, inventory and demand data to flag items at risk of running out. How much warning it can give depends on whether those records accurately reflect what the restaurant has on hand and how quickly customers are ordering it.
The delivery workflow also covers what happens after an order leaves the restaurant. If a customer reports a missing or incorrect item, staff can compare a photo taken before handoff with one submitted by the customer. A separate agent flags unusual transactions and gathers details for authorized staff to review.
What It Takes to Expand the Pilot
Fazzino said QSRP manages around 1,500 restaurants and employs about 8,000 people. As the group grows, it wants its operations teams to support more locations with the same headcount. For QSRP, the economics come down to protecting sales at individual restaurants and reducing the time managers spend investigating faults across stores.
“QSR is an industry with very thin margins that can leak quite easily across our network of restaurants,” Buresi said. “And so we really expect AI to help us catch those leaks while we still have time to act on it.”
Oracle’s product preview lists early 2027 as the planned release for its Operations Command Center for Restaurants. QSRP’s decision to expand the pilot depends on whether its data is reliable, the tools deliver on the business case and managers trust them enough to use them during a shift.
Buresi framed that last test around how quickly a manager could decide what to do when an alert appeared. “What he needs is to understand what's happening really quickly and also, most importantly, what to do about it in less than five seconds.”
Last updated
