Hotel Business Intelligence

Hotel Business Intelligence

KHR Business Intelligence

Hotel Performance.
A Clearer View.

Understand what has changed, where demand is building and what needs attention. KHR brings performance, pace, forecasts and market intelligence into a connected reporting view for hotel teams and owners.

MY KHR · Performance ReviewDEMO

HARBOUR HOUSE SUITES · FICTITIOUS HOTEL & FIGURES

Revenue OTB$504,000+8.0% Vs LY Same-Time
Occupancy75.0%+3.0 Percentage Points
ADR$280+$10 Vs LY
RevPAR$210+$15.60 Vs LY

Forecast Coverage

Sep
96%
Oct
68%
Nov
60%

Performance → Forward Visibility → Commercial Actions

Measure PerformanceRevenue, occupancy, ADR and RevPAR
Read Forward DemandBooking pickup, pace and need dates
Understand The MixChannels, segments and guest origins
Agree The Next ActionPriorities for hotel teams and owners

Inside The Reporting Suite

Five Reports. One Commercial View.

Explore the report formats behind KHR’s performance reviews. Each brings a different part of the hotel’s commercial picture into focus, from individual stay dates to the monthly outlook.

These examples follow KHR’s report layouts and use fictitious hotels and figures. They illustrate the reporting experience; they are not live client results.

01

Performance Summary & Pace

A monthly view of revenue, room nights, occupancy, ADR and RevPAR, with booking movement and prior-year context.

View Report Example
Performance Summary · Azure Quay Hotel · USD
MonthRevenueRoom NightsOccupancyADRRevPAR7-Day PickupVs LY
Aug 2026$624,9602,23272.0%$280$201.60—+6.7%
Sep 2026$666,0002,25075.0%$296$222.00+$11,840+8.8%
Oct 2026$540,0001,80058.1%$300$174.19+$36,000+9.1%
Nov 2026$588,0001,96065.3%$300$196.00+$42,000+12.0%
Dec 2026$744,0002,40077.4%$310$240.00+$51,000+8.0%
Jan 2027$664,9502,01565.0%$330$214.50−$9,900+5.5%

Fictitious 100-room hotel · Snapshot: 26 September 2026. August is actual; September includes stayed and booked business; future months are on the books (OTB). LY compares the equivalent reporting position. Scroll horizontally on small screens.

Supports The Decision Where is the hotel ahead or behind, and which future months need closer attention?

02

Daily Production & BAR Pricing

Review occupancy and segment production by stay date, then place quoted rates in the context of the competitive set.

View Report Example
Daily Production · Azure Quay Hotel · 100 Rooms
Room Nights OTBSat 26 SepSun 27 SepMon 28 SepTue 29 SepWed 30 SepThu 1 OctFri 2 Oct
Occupancy75%76%88%91%88%82%84%
Advance Purchase7789997
BAR12101415121214
Discount89878910
GDS10121415131210
Group0055500
OTA25242526262527
Special Corporate6789887
Wholesale Dynamic4433443
Wholesale Static / FIT3332336
Total75768891888284

120-Day BAR Pricing Position

Competitor Rate Position · 27 September 2026 – 24 January 2027
RankFictitious HotelAverage Quoted BARDates Quoted
1Coral Point Resort$365120 / 120
2Marina House$325120 / 120
3Azure Quay Hotel$298120 / 120
4Palm Court Suites$265120 / 120
5The Cove Residence$240120 / 120

Illustrative USD rates. Rank 1 is the highest average quoted price, not a quality rating. Comparable dates, room products and booking terms matter when reviewing rate position.

Supports The Decision Which dates need demand, and where should pricing, restrictions or inventory be reviewed?

03

Reservations & Sales Mix

See new booking activity, lead time and length of stay alongside the contribution of each sales segment.

View Report Example
New Bookings88Created 20–26 Sep 2026
Room Nights3524.0 Nights Per Booking
Booked Revenue$109,120ADR $310
Booking Window46 DaysAverage Lead Time

Sales Mix · Past 30 Days

  • BAR18%
  • OTA40%
  • Discount12%
  • GDS12%
  • Special Corporate10%
  • Wholesale8%

Sales Mix · YTD

  • BAR20%
  • OTA38%
  • Discount14%
  • GDS10%
  • Special Corporate10%
  • Wholesale8%

Azure Quay Hotel · Fictional booking data. Sales mix shows share of room revenue for each stated period; booking activity includes all stay dates.

Supports The Decision How is the booking mix changing, and which segments merit commercial focus?

04

Market Intelligence

Understand guest origins, travel purpose, stay patterns and repeat business across the reporting periods.

View Report Example

Guest Origins · Past 30 Days

United States
42%
United Kingdom
18%
Canada
12%
Netherlands
8%
Cayman
6%
Germany
4%
Other
5%
Unknown
5%

Guest Origins · Past 365 Days

United States
35%
United Kingdom
15%
Canada
10%
Netherlands
8%
Cayman
6%
Germany
4%
Other
12%
Unknown
10%

Guest Profile · Past 30 Days

Leisure58%Business 30% · Unknown 12%
Average Stay4.2 NightsStay Behaviour
Repeat Room Nights14%Guest Retention
Known Origins95%5% Not Recorded

Azure Quay Hotel · Fictitious share of room nights by guest country. Past 30 Days: 28 August–26 September 2026; Past 365 Days: 27 September 2025–26 September 2026.

Supports The Decision Which source markets and guest profiles should inform campaign timing and sales activity?

05

Weekly Performance Review

Bring the headline results, pace, forecast coverage, remaining revenue gap and commercial priorities into one concise review.

View Report Example
Weekly Performance Review · Illustrative Example

Harbour House Suites

September Covers 96% Of Forecast

Room revenue on the books: $504,000 · Remaining to forecast: $21,000

Room Revenue OTB$504,000+8.0% Vs LY Same-Time
Occupancy75.0%+3.0 Percentage Points
ADR$280+$10 Vs LY
RevPAR$210+$15.60 Vs LY

Pace

Pace · Equivalent Reporting Position
MonthRevenue OTBLY OTBVs LYOccupancyADR
Sep$504,000$466,560+8.0%75.0%$280
Oct$421,600$400,000+5.4%54.8%$310
Nov$390,000$375,000+4.0%50.0%$325

Forecast

Forecast Coverage And Remaining Revenue
MonthForecastBudgetFC Vs BGTFC CoverageGap To FC
Sep$525,000$520,000+1.0%96.0%$21,000
Oct$620,000$600,000+3.3%68.0%$198,400
Nov$650,000$665,000−2.3%60.0%$260,000

Fictitious hotel and figures · Week ending 26 September 2026 · USD. FC Coverage = OTB revenue ÷ forecast. Gap To FC = forecast less OTB revenue. Positive forecast variances appear green; negative variances appear red.

September Close: Review remaining inventory and conversion opportunities against the $21,000 forecast gap.

Forward Demand: October and November require further business. Review need dates, distribution availability and targeted activity.

Commercial Follow-Through: Agree the action, responsible team member and review date with the hotel.

Supports The Decision What should the team do next, who will own it, and when will progress be reviewed?

From Reporting To Action

A Shared View For Owners And Hotel Teams.

01 · Review

Read the headline performance and booking movement in the context of the reporting period and available hotel data.

02 · Prioritize

Identify forecast gaps, need dates, pricing questions and changes in market or channel mix.

03 · Follow Through

Connect the findings to agreed revenue, distribution, marketing and sales actions, then review the outcome.

See What Your Hotel’s Data Can Tell You.

Discuss the reporting views and commercial support that fit your property.

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