Tenzo MCP: How Noble Restaurant Group analyses performance across 20+ sites

Amir Shahin is Digital Transformation Manager at Noble Restaurant Group, a business operating around 20 sites across the UK and still expanding. Noble had been using AI in a limited way for a while – querying small pieces of data, pulling reports one site at a time. Three weeks before we spoke to Amir, that changed: the team switched on Tenzo’s MCP.

The shift wasn’t in the data itself – Noble already had that inside Tenzo. It was in who could get to it, and how fast.

About Noble Restaurant Group

Noble Restaurant Group runs around 20 sites and is actively growing, with sites including Alley Cats among its portfolio. Multi-site growth of that kind usually brings a familiar problem with it: the more sites you add, the harder it gets to see performance clearly across all of them at once.

Before Tenzo’s MCP, Noble was already using AI tools generally, mainly to make life easier and query small amounts of data. But pulling proper reports across sites was a manual job so getting a full picture meant working through each site individually.

The challenge: data existed, but pulling it together didn’t scale

Noble’s problem wasn’t a lack of data. It was the work required to turn that data into something usable across 20 growing sites.

As Amir put it: “There’s so much data, and you can build the custom dashboards, but just to ask in natural language and for all of the data to be there” – that was the piece that was missing. Multiple reports, pulled from multiple sites, with no bulk export, meant real hours spent assembling a view of the business rather than acting on it.

The solution: natural language querying

Amir’s reaction to the MCP was blunt: “I didn’t think it was gonna be that good.” Given the volume of data Noble holds across its sites, he’d expected the output to be useful but limited.

Two examples he gave show what that looks like day to day:

• Drink vs. food split, by site and by day. Noble can now see that one site has a clear uptick in beverage sales on weekends while another site nearby doesn’t – and drill into why, site by site, without a custom dashboard built for that exact question.
• Delivery performance at Alley Cats. Rather than guessing where delivery is underperforming, the team can query the data directly to find the bottlenecks and work out which sites are best suited to delivery as a channel.

The other change is who’s asking the questions. Before, a question for the business meant a request to a data analyst. Now, as Amir describes it, direction can come straight from the directors: “Now they can just query it themselves and then give a broader direction out to maybe the data analysts.”

The results

Freeing up analyst time changes what the team can focus on. As Amir puts it, the time taken to get to an output “meant that a data analyst could do multiple things for the same day, or we could focus on a bigger project.”

Amir also makes the broader point about what Tenzo’s MCP gives Noble access to that most restaurant groups don’t have: “Not many organisations have a data repository with all of their data… it’s probably your only source that has labour, reservations, POS, maybe reviews.” That single, unified base is what makes the natural-language querying possible in the first place – a point that applies to Tenzo’s restaurant analytics platform generally, not just Noble’s setup.

Looking ahead

Amir’s advice to other operators considering the same move is straightforward: “Get on it as quick as you can. Get as many data sources in as are relevant to the business context.” His view is that the barrier to using this kind of tool well has effectively gone: “It’s not like you need crazy resources anymore. If you’ve got a goal, you can get there.”

As Noble Restaurant Group continues to expand its site count, that access – asking a direct question and getting a direct answer, without waiting on a manual report – is what’s set to scale with it, as they continue to use Tenzo’s platform to manage performance across a growing estate.

Not heard enough yet?

Hear how Ottolenghi use AI for hospitality reports that don’t involve spreadsheets, or how JKS Restaurants cut financial reporting time with Tenzo MCP.

Videography by Chandler Media.