European hotel exterior at night
AI Revenue Management



AI-powered revenue management built for independent hotels. Smarter pricing, better decisions, more revenue.

The problem

Independent hotels compete blind.

Pricing set by gut feel or OTA parity copying. PMS data goes entirely untouched. Every unsold night is revenue that cannot be recovered.
80%

of independent hotels operate with no RMS

15–22%

RevPAR uplift when a full RMS is deployed

Why this matters

The gap between chains and independents is widening.

01

The Ownership Problem

Independent hotel owners price rooms manually — gut feel, spreadsheets, OTA parity. Every unsold night is permanent, unrecoverable revenue loss.

02

The Data Problem

The PMS holds a wealth of pricing, booking, and demand data. Without the right tools, it goes entirely unused.

03

The Chain Advantage

Global chains run full analytics stacks with dedicated revenue teams. Independent hotels compete without the same tools or insights.

How it works

Six steps. Full control.

Every action requires your approval. You stay in control — the AI does the heavy lifting.

01PMS Integration

Connect

Connects to your PMS via API on day one. Live sync of all rooms, rates, and bookings. No manual setup.

02AI Intelligence

Analyse

The AI processes booking pace, demand signals, competitor rates, and historical patterns to surface opportunities.

03Revenue Actions

Recommend

Specific revenue actions generated — each with a clear rationale so you understand the reasoning behind every suggestion.

04Human in the Loop

Approve

You review and approve via a simple interface. No action is ever applied without your explicit sign-off.

05Real-time Execution

Apply

Approved actions push directly to your PMS in real time. Changes deploy immediately. Full audit log retained.

06Continuous Learning

Learn

Performance data feeds back into the model. The system improves over time as it learns from your property's patterns.

What you get

Built for the way independent hotels actually operate.

One platform, one login. Designed for the GM who wears six hats before lunch — not the enterprise revenue team with a six-figure budget.

01 — Dynamic Pricing

Rates that move with demand.

AI-driven rate recommendations across every room type, informed by your data, your market, and your goals.

02 — Parity & Distribution

Every channel, one view.

Monitor rate parity across all channels in real time. Flag leaks the same hour they happen. Keep your direct rate competitive — always.

03 — Demand Forecasting

See demand before it arrives.

Booking pace, local events, seasonal patterns, historical trends — synthesised into a clear demand picture so you price ahead of the curve, not behind it.

Integrations

Plugs into the PMS you already run.

API-first integration. Connect on day one — no manual setup, no IT ticket required. Live sync of rooms, rates, and bookings.

ApaleoComing soon
MewsComing soon
CloudbedsComing soon
StayntouchComing soon
Meet the team

Built by operators, not just engineers.

Shaye Bhattessa-Sharma

Shaye Bhattessa-Sharma

Co-Founder & CEO

Built Football Billionaire into one of the UK's fastest-growing sports board games, securing major football licenses, national retail distribution, and an appearance on Dragons' Den as the show's youngest entrepreneur.

Vitor Cruz

Vitor Cruz

Co-Founder & COO

Got his first taste of the hospitality world at Airbnb, where he saw how the best operators think about scale. Followed that up with Deloitte, where he developed finance skills and how businesses are really built.

Ágoston Sanká

Ágoston Sanká

Co-Founder & CCO

Presidential Scholar at USC, currently building for Secret Movie Club in Los Angeles. Has consulted for Superset, a Silicon Valley VC firm, and brings a mix of technical ability and commercial awareness.

Anirudh Bhattacharya

Anirudh Bhattacharya

CTO

USC Master's in CS with published ML research. Built LLM and RAG systems in healthcare, aerospace deep learning at USC, and production AI tools at Marshall. Full-stack technical depth across ML, cloud, and systems.

Aaron Sharma

Aaron Sharma

Artificial Intelligence Engineer

PhD researcher in machine learning and explainable AI. Background in aerospace, psychology, and finance — rare cross-domain intuition built for production systems.

FAQ

Questions we hear most.

What does hotellme do?

hotellme is an AI-powered revenue management platform built for independent hotels. It connects to your PMS, analyses your data, and generates actionable recommendations to help you capture more revenue.

Which PMS do you integrate with?

We integrate via API with the cloud PMS platforms that cover the independent hotel segment in Europe. Connect on day one — live sync of rooms, rates, and bookings. No manual setup required.

What does onboarding look like?

We connect to your PMS on day one via API. The AI analyses your historical data, then starts generating recommendations. You stay in full control throughout.

Do I lose control of my pricing?

Never. hotellme is human-in-the-loop by design. Every recommendation requires your sign-off before it touches the PMS. You review, approve, or override.

Revenue calculator

How much revenue are you leaving behind?

Adjust the sliders to match your property. See how much additional revenue an RMS could unlock — based on the industry average of 15% RevPAR uplift.

Rooms50
Average nightly rate120
Occupancy65%
Your current annual revenue

€1,423,500

Revenue you could be capturing

+€213,525

per year