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AI Implementation for Hospitality

AI that earns
its place on
the P&L.

Stratosphere helps hospitality businesses identify where AI creates real efficiency and EBITDA impact, then implements it with the rigour of an operator who has delivered it under genuine commercial pressure.

£0m
Portfolio managed
0
Years in operations
0%
EBITDA uplift
0
Sites managed
Operator first. Always.
P&L impact measurable within 90 days
Built by operators, not technologists
No AI for AI’s sake. Only what pays.

Why Stratosphere

The problems we
were built to solve.

Three problems sit at the root of almost every failed AI engagement in hospitality. We built Stratosphere to solve each of them — not with better technology, but with better operational thinking.

01
The technology exists. The operational framework doesn’t.

Most hospitality businesses already have the tools. What they lack is the operational structure to extract value from them — the diagnosis, the prioritisation, and the implementation rigour that turns software spend into P&L improvement.

02
AI consultants learn your industry on the job.

Generic AI firms arrive with frameworks and leave with fees. They don’t know what a 68% labour percentage feels like at 11pm on a Tuesday. We do. That difference determines whether what gets built actually gets used.

03
Adoption is where implementations go to die.

The technology is rarely the problem. The change management is. Every Stratosphere engagement ends with your team fully owning what’s been built — not dependent on us to maintain it.

The Stratosphere difference

We don’t consult on hospitality.
We ran it.

Two decades of P&L accountability across 48 sites and £87m in annual turnover. Not case studies. Actual operational experience, with real commercial consequences for getting it wrong.

“Most AI firms learn our industry on the job.We already know it. We ran it.”

Services

One engagement.
Or a defined
project.

A long-term operational engagement, or a scoped project with a defined outcome. Both are anchored in the same discipline: commercial diagnosis first, technology second.

AI Strategy & Consulting

A structured diagnostic of your operations to identify where AI creates genuine commercial value. We map your workflows, quantify the opportunity, prioritise by ROI, and build the implementation roadmap.

  • Operational diagnostic and AI opportunity mapping
  • ROI modelling by function and initiative
  • Technology selection guidance
  • Prioritised implementation roadmap
  • Business case for ownership and investment
Implementation & Embedding

For businesses with a strategy that needs executing. We take the plan from paper to operation, managing the implementation, driving team adoption, and ensuring the investment lands where it’s supposed to.

  • End-to-end implementation management
  • Supplier and technology partner liaison
  • Team training programme design and delivery
  • Performance measurement and iteration
  • Post-launch optimisation and support
Operational Performance Review

A deep-dive into your operational and commercial performance. Identifies efficiency gaps, cost leakage, and AI-addressable improvement areas, with a prioritised action plan.

  • Full operational and commercial audit
  • Benchmarking against sector standards
  • Cost structure and margin analysis
  • AI-readiness assessment
  • Board-ready findings and recommendations

The Approach

Operator first.
Technology second.

Every engagement follows the same discipline: understand the commercial problem before recommending a solution. AI is applied where it earns its place — nowhere else.

1

Diagnose

We start with your P&L, your operations, and your people — mapping where performance is being lost and where cost is leaking.

2

Prioritise

We model the commercial return of each opportunity, rank by EBITDA impact, and build a roadmap that ownership can back with confidence.

3

Implement

We manage implementation end-to-end — technology selection, deployment, and the change management that determines whether your team actually adopts it.

4

Embed & Exit

Every engagement ends with your team fully owning what’s been built — trained, confident, and able to keep improving without us.

Case Studies

The methodology
in practice.

Three engagements. Different sectors, identical discipline: understand the commercial problem first, apply AI only where it earns its place on the P&L.

Hospitality, Multi-Site Casual Dining Group, P&C
Labour Optimisation & Revenue Recovery
12
Sites in scope
£180k
Annual labour saving
+8pt
NPS improvement
The Challenge

A 12-site casual dining group was carrying an estimated 6–8% labour overspend across its portfolio. Rotas were built manually by site managers without visibility of demand forecasts, historical patterns, or cross-site benchmarking. The result: consistent overstaffing on quiet days, understaffing on high-demand periods, and a guest experience that reflected it.

The group had explored scheduling software previously but adoption had failed — the technology was implemented without operational context, and managers reverted to spreadsheets within weeks.

What Was Built
  • AI demand forecasting model trained on three years of covers data, revenue patterns, local events, and weather — generating site-specific labour targets by daypart.
  • Rota optimisation tool integrated directly into the existing scheduling system, surfacing recommendations managers could accept or override with one tap.
  • Cross-site performance dashboard giving the operations team real-time visibility of labour percentage against forecast across all 12 sites.
  • Full management training programme anchored in the commercial outcome — not the technology — driving genuine adoption across all sites within six weeks.
Independent Business, Blend
End-to-End AI Integration
3
AI systems embedded
Stock waste reduced
Booking conversion
The Challenge

A growing independent was experiencing three interconnected operational problems: significant stock waste from manual ordering processes, a leaking customer journey with high drop-off between enquiry and confirmed booking, and a CRM strategy that wasn’t converting existing clients into repeat visits.

These aren’t technology problems. They’re operational problems, structurally identical to challenges Stratosphere has addressed across multi-site hospitality at significant scale.

What Was Built
  • AI-driven stock ordering that forecasts demand based on booking patterns and historical usage, eliminating manual guesswork and reducing waste meaningfully.
  • Automated customer journey with intelligent follow-up sequences, reducing the gap between enquiry and confirmed booking.
  • CRM strategy built around client behaviour data, personalised re-engagement sequences, lapsed client recovery, and loyalty triggers that operate without manual intervention.
  • Full team training programme ensuring every system was owned and operated independently by the end of the engagement.
Independent Pizzeria, Mamo’s
Kitchen Efficiency & Revenue Growth
-38%
Food waste reduction
+£2.1k
Weekly revenue uplift
6 wks
To full adoption
The Challenge

An independent pizzeria was experiencing three compounding problems: food costs running 4–5 points above where they should have been, a delivery and collection channel underperforming despite genuine demand, and no reliable mechanism to bring lapsed customers back into the business.

The opportunity was clear. The time and tools to act on it weren’t. And like most independent operators, the technology already existed in the business, it just wasn’t being used to its potential.

What Was Built
  • AI-driven prep and ordering model trained on 18 months of covers data, day-of-week patterns, local events, and seasonal demand — generating daily prep targets and supplier order recommendations that cut food waste by 38% within the first month.
  • Consolidated ordering experience across all delivery platforms, with a single branded direct-order channel improving margin per order.
  • Automated customer re-engagement sequences triggered by lapse behaviour, visit frequency, and order history, driving repeat visits and increasing average monthly order frequency by 22%.
  • A simple live dashboard showing daily food cost percentage, cover forecasts, and re-engagement campaign performance — everything needed to run the business commercially, without a finance team to interpret it.
0
EBITDA uplift delivered
0
Food waste reduction
0
Average time to full adoption
0
Failed implementations
0
Typical P&L impact timeline
0
Client adoption rate

About Stratosphere

Built from
the inside out.

Stratosphere was founded on a simple observation: most AI firms approach hospitality from the outside. They learn the sector on the job. We approach it from the inside — with two decades of P&L accountability, brand development, and performance transformation in some of the UK’s most demanding multi-site environments.

Matt Stansbury, Founder of Stratosphere Consultants Matt Stansbury, founder of Stratosphere, spent over 20 years in senior operational leadership within UK hospitality, rising to Chief Operating Officer of a national portfolio of 48 restaurants with £87m in annual turnover.
Connect on LinkedIn →

During that tenure: a 4.2% EBITDA uplift. A 40-point NPS improvement. Record sales of £87m and EBITDA of £17m. Delivered through operational rigour, team development, and the disciplined use of data.

“Most AI firms learn our industry on the job.We already know it. We ran it.”

What clients say

Outcomes, not opinions.

“Working with Stratosphere surfaced a £180k labour saving we hadn’t seen in three years of P&L reviews. Within six weeks every site manager was using the system, without being told to.”

Operations Director, Multi-Site Casual Dining Group

“Most consultants tell you what’s possible. Matt showed us what’s practical, and then built it. The stock waste alone paid for the engagement. I didn’t need to understand the technology. I just needed it to work and it did.”

Carrie, Owner & Founder, Blend

“The audit alone was worth it. Matt identified three areas we’d never quantified, the engagement that followed paid for itself inside four months.”

Finance Director, Contract Catering Group

“I make great pizzas, I’m not a tech person. I was skeptical but Matt didn’t try to teach me AI, he fixed the numbers. Food waste down, regulars coming back more often, and I actually understand what’s happening in my business now. Best decision I made this year.”

Marco, Founder, Mamo’s

“I’ve worked with a lot of consulting firms. Stratosphere is the first one that came in understanding the pressure a COO is actually under, and built solutions that worked with that reality, not against it.”

Chief Operating Officer, National Restaurant Portfolio

Request an Audit

Start with
a conversation,
not a pitch.

An operational audit is a structured 60-minute session in which we examine your current performance, identify where AI can create measurable commercial improvement, and give you a clear sense of what an engagement could deliver.

Stratosphere works with hospitality businesses typically turning over £1m–£100m across 1–50 sites.

No obligation. No generic AI brochure. Just an honest, operator-to-operator conversation about your business.

No preparation required. Bring your questions and a sense of where the friction is.

Honest assessment. If AI isn’t the right answer for a particular problem, we’ll say so.

Commercial framing. Every conversation is anchored in EBITDA, labour cost, and revenue.

Response within 24 hours. You’ll hear back promptly with available times.

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operational audit.

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