PLAYBOOK ATLASPlaybook Atlas

Hospitality

AI in hospitality: explore 36 applications.

Connect guest needs, revenue decisions and service plans to confirmed operational actions.

Explore rate review, guest assistance, housekeeping, kitchen planning and finance workflows for property teams.

Plan your first AI move See the 36 applications

Where the 36 applications sit

Explore the domains
  1. 19Revenue Management
  2. 9Guest Experience Management
  3. 7Operational Efficiency
  4. 5Customer Support
  5. 1Sales and Marketing

01Why AI now

Why hospitality is moving on AI, in three figures.

Each figure links to its source.

  1. Hospitality AI market: $920M by 2028

    Business Traveller reports that the global AI-in-hospitality market is projected to reach $920 million by 2028 at a 57.5% compound annual growth rate.

    Source: Business Traveller

  2. 91% of hospitality leaders are piloting or using AI

    A 2025 PwC Middle East survey found that 91% of regional tourism and hospitality leaders were piloting or using AI solutions, though only 3% had deployed AI enterprise-wide.

    Source: PwC Middle East

  3. 65% of hotels still face staffing shortages

    A 2025 survey found that 65% of U.S. hotels had staffing shortages and 71% had openings they could not fill despite active searches.

    Source: Hotel News Resource

How to evaluate a first project

Choose one property workflow and compare it with the systems already in use. Check room, rate, date and guest context before an action. Verify that the offer became bookable, the task reached an owner or the service was fulfilled, then measure results alongside guest experience and operating cost.

02Capability map

Where hospitality puts AI to work, domain by domain.

Pick a domain to see its applications. Each one opens a full report.

Inside Revenue Management

Applications in Revenue Management

What the use cases ask AI to do

Share of the hospitality use cases, by the kind of work the AI does.

  1. Reasoning

    Analyzes, predicts and decides: scoring, forecasting, classifying.

    57%

  2. Generation

    Creates: text, images, code and other content.

    34%

  3. Agentic

    Acts: plans, uses tools and completes multi-step tasks.

    9%

Under 1% each: perception and optimization.

03What gets built

The approaches hospitality uses most, and when to skip them.

Knowing when not to use one matters as much as knowing when to.

  1. 01 · 19 applications

    Workflow Automation

    Use AI inside orchestrated workflows to automate multi-step business processes.

    Use it when

    • When you have repetitive, rule-heavy workflows that still require human judgment or document understanding.
    • When the process spans multiple systems (ERP, CRM, ticketing, email) and manual coordination is slow or error-prone.
    • When large volumes of semi-structured or unstructured data (emails, PDFs, forms) must be processed consistently.

    Skip it when

    • When the process is highly creative, exploratory, or non-repeatable, with no stable sequence of steps.
    • When decisions are extremely high-stakes (e.g., life-critical medical decisions, major legal judgments) and regulations require full human control.
    • When you lack reliable access to the necessary systems or data sources to complete the workflow end-to-end.
    Workflow Automation, in depth

  2. 02 · 11 applications

    Domain Intelligence

    Domain/workflow taxonomy for solution labels that are not implementation techniques.

    Domain Intelligence, in depth

  3. 03 · 3 applications

    RAG-Standard

    LLM + retrieval layer that injects relevant documents into the prompt at query time.

    Use it when

    • You need an LLM to answer questions based on proprietary or private documents that are not part of its pretraining data.
    • Your knowledge changes frequently (e.g., policies, product docs, pricing) and you want updates to be reflected without re-training the model.
    • You have a large corpus of unstructured or semi-structured text (wikis, PDFs, tickets, emails, manuals) that users struggle to search effectively.

    Skip it when

    • Your task is primarily structured data querying or analytics (e.g., reporting over a relational database) where SQL or BI tools are more accurate and efficient.
    • You have very small, static knowledge (e.g., a short FAQ) that can fit directly into a prompt or be encoded as rules without a retrieval layer.
    • You require strict, deterministic behavior with no tolerance for probabilistic errors (e.g., certain financial calculations, safety-critical controls).
    RAG-Standard, in depth

04The applications

36 hospitality applications, each with a full report.

The widest first, by the number of use cases each covers. Every report shows what changed, how it works, who has done it and what can go wrong.

  1. Hotel Revenue and Service PlanningBring the revenue forecast, arrival workload and service constraints into one planning review. Assign decisions to the right team and verify the resulting rate, staffing or service change.Workflow Automation36 use cases
  2. Hotel Rate Decision and Publishing ReviewEvaluate revenue-management recommendations, approve the exact rate changes and verify what reaches the selling systems. Measure local results before expanding automated pricing.Workflow Automation32 use cases
  3. Hotel Reservation AssistanceAnswer property questions, show authorized quotes and hand travelers to the booking engine or reservations team. Treat a request, a quote and a confirmed booking as distinct states.RAG (Retrieval-Augmented Generation)21 use cases
  4. In-stay Hotel ConciergeHelp guests find current property information and request hotel services through a mobile concierge. Keep recommendations, submitted requests and confirmed service outcomes visibly distinct, with an accessible path to staff.Workflow Automation13 use cases
  5. Guest Preference and Profile ReviewKeep guest-stated preferences attached to the correct person, property and stay. Review profile matching, confirm ambiguous requests and show staff what is known, outdated or still awaiting confirmation.Workflow Automation12 use cases
  6. Hotel Demand Forecast ReviewBuild reproducible booking snapshots, compare forecasts at real planning horizons and show the uncertainty behind room and arrival plans. Keep pricing decisions in their approved revenue workflow.Workflow Automation11 use cases
All 36 applications, A to Z

Work with us

The catalog shows what is possible. A sprint decides what you should fund.

Reading every report still leaves the hardest question open: which move is worth funding first, here, given your constraints. That is the sprint: two weeks, fixed scope, and a candid answer either way.

Book a 30-minute callHow the sprint works

Two weeks Fixed scope A candid fit-or-no-fit answer

  1. 01

    Three ranked opportunities

    A decision-ready shortlist scored against value, feasibility, evidence, risk, and time to proof.

  2. 02

    One pilot-ready workflow

    A bounded operating design with actors, handoffs, data needs, controls, and success measures.

  3. 03

    A defensible 90-day plan

    Build-versus-buy guidance, ROI assumptions, risk treatment, sequencing, and executive decisions.

05Rules & standards

Rules and standards to check, with their scope and sources.

Selected US and EU references for these workflows. Applicability depends on jurisdiction, organization, data and intended use. The planning notes are Atlas editorial guidance; they are not official implementation-time estimates or an exhaustive list of obligations.

  1. FTC Rule on Unfair or Deceptive Fees

    Law or regulation

    United States · live-event tickets and short-term lodging

    The rule requires covered sellers to disclose the total price including mandatory fees upfront and prohibits misleading fee representations. It is not a general ban on dynamic pricing.

    FTC: fees rule frequently asked questions

    Source checked

    Project planning note

    Test quoted room prices through checkout with mandatory fees included in the required total.

  2. ADA Standards for Accessible Design

    Law or regulation

    United States · facilities covered by ADA Titles II and III

    Covered new construction and alterations must meet applicable accessibility requirements. Scope depends on the facility and work; automated design checking does not itself establish compliance.

    US Department of Justice: ADA design standards

    Source checked

    Project planning note

    Check the facility and service scope; keep AI-generated room or access descriptions aligned with verified conditions.

06The AI graveyard

One failure, and the lesson it paid for.

  1. Hotel Chatbot Failures

    2019-2021 · Source

    Multiple deployments rolled back

    What went wrong

    AI concierge systems could not handle complex guest requests and frustrated customers with limited capabilities.

    The lesson

    AI guest services must set appropriate expectations about capabilities

Your next step

Find your first move in hospitality.

Ask the workspace which move fits your company. Add your size, systems and constraints, and it works from these 36 applications to a plan your team can act on.

Plan your first AI move

Rather talk it through? Book a 30-minute call