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Business area digitalisation analysis

Hotels and accommodation establishments: digitalisation analysis

How to connect booking, pricing, room preparation, guest self-service, ancillary services and stay economics

Digital maturity

Typical digital maturity

Shows the level of technological and process digitalisation at which companies in the sector or business area typically operate today.

A typical market situation is assessed, not the most advanced companies.

The assessment consists of five equally weighted dimensions:

Core system usage
Whether ERP, CRM, WMS, MES, customer portals or other operationally important systems are widespread in companies.
Process digitalisation
How many core processes run in systems and how many are still managed manually.
Systems integration
Whether core systems exchange data between themselves or whether employees transfer information manually.
Data quality and readiness
Whether core data is structured, up-to-date, consistent and suitable for automation and analytics.
Advanced data use
Whether real-time analytics, forecasting, automated alerts, optimisation models or AI are used.

The final score is the average of the five dimensions.

1–5 scale

  • 1 very low maturity
  • 2 low maturity
  • 3 medium maturity
  • 4 high maturity
  • 5 very high maturity

A low maturity score does not necessarily indicate low potential. On the contrary, low maturity and a high level of manual work may indicate significant untapped digitalisation value.

medium
Skaitmenizacijos potencialas

Digitalisation potential

Shows how much significant business value a typical sector or business area company can create by systematically digitalising core processes.

The rating is calculated on a 100-point scale across five dimensions:

Process frequency and scale 20 %
An assessment of how frequently the digitalised processes recur and what proportion of operations they represent.
Manual work intensity 20 %
An assessment of the extent to which processes depend on email, telephone, Excel, paper documents and repeated data entry.
Impact on revenue and costs 25 %
An assessment of the potential effect on sales, margin, customer retention, administrative costs, errors, downtime or inventory.
Growth and scale potential 20 %
An assessment of whether digitalisation would enable operational capacity to be increased without expanding headcount and costs at the same rate.
Impact on decisions and risk 15 %
An assessment of the potential effect on data reliability, decision-making speed, customer experience, and the reduction of errors and operational risk.

The final score is calculated according to the assessments and weights of all dimensions.

100-point scale

  • 0–20 very low potential
  • 21–40 low potential
  • 41–60 moderate potential
  • 61–80 high potential
  • 81–100 very high potential

A high score does not mean the solution will be easy to implement. It indicates the size of the potential value, not the implementation complexity.

92/100
Biggest challenge
Room availability and reservations do not match across channels
Biggest opportunity
Integrated guest journey

The greatest value is created not by a separate guest app, but by a reliable connection between booking, room status and real staff actions.

Operating model of hotels and accommodation establishments

The business area encompasses the sale of rooms and other accommodation units, guest registration, room preparation, stay services, additional services and payment. Occupancy, average room rate, distribution channel costs, room preparation speed and additional revenue per stay are particularly important to the operating model's economics.

A room night is irreversibly lost capacity

An unsold stay for a specific date can never be realised later, so pricing and channel management directly determine revenue.

A stay involves many operational states

Reservation, registration, room cleaning, faults, additional services and payment must be coordinated in time.

The guest experience begins before arrival

Clear information, convenient data submission, early collection of requests and rapid problem resolution determine the overall rating.

Market and Technology Context

In the accommodation market, the importance of the direct channel, revenue management, mobile self-service and multi-property operations is growing, yet their benefit depends on a reliable PMS and channel data foundation.

  • Direct booking economics remain criticalPlatforms provide demand, but the cost of commissions and limited guest data drives investment in a reliable proprietary channel.
  • Guests expect increasing self-serviceData submission, payment, check-in, requests and ancillary services must be convenient, yet directly linked to PMS and staff actions.
  • Staff shortages are transforming hospitality operationsRoom preparation, reception and maintenance coordination must rely on real-time statuses, not phone calls.

Typical operations chain

01

Demand and pricing management

Demand is forecast, rates, restrictions, packages and channel availability are set.

02

Booking and pre-arrival preparation

Booking, payment terms, guest details, preferences and additional services are confirmed.

03

Room preparation

Checkout, cleaning, maintenance work, inspection and room status update are coordinated.

04

Registration and guest service

The guest is registered, gains access, orders services and submits requests through a single chosen channel.

05

Check-out and settlement

Services, payments, invoices, room status and guest departure information are reconciled.

06

Post-stay communication

Feedback, complaints, actual revenue, profile data and repeat visit opportunities are analysed.

Digital Maturity Path

0

Manual Property Management

Reservations, room statuses and guest requests are managed via phone, email and spreadsheets.

1

PMS and Channel Foundation

A PMS and channel management system is in use, but operations, CRM and ancillary services remain separate.

2

Unified Guest File

Reservation, guest, room, payments, requests and services are linked in a single guest journey.

3

Integrated Guest and Staff Operations Typical current situation

Self-service actions automatically create tasks for reception, housekeeping, maintenance team or partners.

4

Data-Driven Revenue and Experience Siektina

Pricing, room allocation, personalisation and additional offers are based on reliable guest data.

5

Proactively managed stay

The system identifies potential issues in advance, optimises capacity and suggests the appropriate action to staff or guest.

Key finding

The potential is driven primarily by direct booking economics, revenue management, room preparation coordination and the ability to sell additional services in a single self-service platform.

The first version – a seamless stay journey for a single property: reliable booking and pricing, pre-arrival data, room preparation status, mobile guest requests, several additional services and transparent billing.

Related digitalisation topics

Hotel PMS integrationsRoom operations managementGuest self-service portalHotel revenue management
Next step

Connecting reservation, room status and guest experience

Assessing which gap in reservations, room preparation, guest self-service or ancillary services is currently driving the highest commission and staff costs.

Discuss digitalisation direction