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Hotel's Basic Accounting Principles #13 by Dino Leonandri

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DINOLEONANDRI
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This document discusses forecasting methods for hotel room revenue. It explains that forecasts are used to update operating budgets based on current business levels and market conditions. There are generally four types of patterns that impact forecasts: seasonal, cyclical, trend, and random variations. The document then provides details on each of these patterns and how they should be factored into forecasts. It also includes an example forecast for room revenue at a hotel over a ten day period with actual data and projections broken down by market segment.

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Hotel Basic Accounting and Cost Control #13 By : Dino Leonandri
Forecasting Forecasts are the financial documents that are used to update the operating budget of an organization. Forecasts are flexible and provide the possibilities open to the management to carry out modifications in the operating budget during the operating cycle. This permits the management to take into consideration changes caused by the economic and market conditions as well as adapting to current trends. Forecasts are used to update the budget so that it reflects current business levels and conditions. Forecasting involves using current information and combining this information with established ratios and formulas to estimate or project future business levels and operations. Forecasting is the key management tool used to plan the details of the daily operations in the very short term such as tomorrow, next week or next month
Forecasting Generally, four types of historical patterns can be recognized: seasonal, cyclical, trend, and random variations. 1. The seasonal pattern 2. The cyclical pattern 3. The trend pattern 4. Random variations
Forecasting The seasonal pattern The seasonal pattern exists when the series of data fluctuates in a regular direction according to a particular period. This period could be within a day (lunch as opposed to dinners); during the week (week days as opposed to weekends); during the month (weekly variations within the month caused for example by the spending patterns of the inhabitants of the area in relation to their income flows); as well as the year (high season as opposed to low season). Management should be able to factor in such seasonal variations in their forecasts. The cyclical pattern The cyclical pattern results from the recurring and fluctuating levels of activity that a business or economy will experience over a long period of time. The five stages of the business cycle are growth, peak, recession, trough and recovery. Due to their irregularity, frequency, magnitude and duration variations it is much more difficult to make forecasts based on the cyclical pattern. When plotted on a graph, it is similar to the seasonal pattern except for the length of the pattern.
Forecasting The trend pattern The trend is the overall projection of the long-term forecast of the activity that is being analyzed. Trends represent the general movement of a market or of an activity. This movement is either upwards or downwards. In general, it is best to move with the trends. This means that if the trend is upward, then forecasts should reflect that upward tendency and also caution should be exercised about making forecasts in situations where the trend is downward. Trends can vary in length from short, to intermediate, to long term. Random variations Historical data are also affected by random variations. Random variation simply indicates the absence of any pattern in the historical data. Statistical tools such as random factor analysis are normally used to try and understand if the outlying data is caused by an underlying trend or just simply a random event. If the random data is caused by an underlying trend, that trend will need to be addressed and remedied accordingly.
Forecasting of Room Revenue Jan-21 ACTUAL ACTUAL ACTUAL ACTUAL ACTUAL ACTUAL ACTUAL FORECAST FORECAST FORECAST FORECAST(onhand) 1 2 3 4 5 6 7 8 9 10 MTD ROOMSALEABLEMTD 117 232 348 464 570 676 779 896 1013 1130 1130 ROOMSALEABLE 117 115 116 116 106 106 103 117 117 117 1130 Onhand 27 38 26 40 50 57 47 41 24 19 369 Occ% 23.08% 33.04% 22.41% 34.48% 47.17% 53.77% 45.63% 35.04% 20.51% 16.24% 32.65% Arr 623,042 625,846 606,971 613,163 602,128 594,196 583,156 595,613 598,198 601,050 602,962 TotalRev 16,822,143 23,782,164 15,781,241 24,526,533 30,106,416 33,869,183 27,408,323 24,420,133 14,356,758 11,419,953 222,492,847 Budget 86 86 86 86 86 86 86 86 86 86 858 Occ% 55.00% 55.00% 55.00% 55.00% 55.00% 55.00% 55.00% 55.00% 55.00% 55.00% 55.00% Arr 550,000 550,000 550,000 550,000 550,000 550,000 550,000 550,000 550,000 550,000 550,000 TotalRev 47,193,548 47,193,548 47,193,548 47,193,548 47,193,548 47,193,548 47,193,548 47,193,548 47,193,548 47,193,548 471,935,484 Variance -59 -48 -60 -46 -36 -29 -39 -45 -62 -67 -489 Occ% -56.01% -45.53% -56.96% -43.63% -34.10% -27.43% -36.96% -42.67% -58.86% -63.63% -31.35% Arr 516,464 489,712 525,233 494,843 477,208 462,548 509,844 508,262 531,284 535,481 510,040 Totalrev (30,371,405) (23,411,384) (31,412,307) (22,667,015) (17,087,132) (13,324,365) (19,785,225) (22,773,415) (32,836,790) (35,773,595) (249,442,637) FORECASTINLINEMTD 27 65 91 131 181 238 285 326 350 369 37 Occ% 23.08% 28.02% 26.15% 28.23% 31.75% 35.21% 36.59% 36.38% 34.55% 32.65% 3.27% ARR 623,042 624,682 619,621 617,649 613,362 608,772 604,547 603,424 603,065 602,962 602,962 TOTALREV 16,822,143 40,604,307 56,385,548 80,912,081 111,018,497 144,887,680 172,296,003 196,716,136 211,072,894 222,492,847 22,249,285 TENDAYSFORECASTVSBUDGETJAN2021
Forecasting of Room Revenue Jan-21 ACTUAL ACTUAL ACTUAL ACTUAL ACTUAL ACTUAL ACTUAL FORECAST FORECAST FORECAST FORECAST 1 2 3 4 5 6 7 8 9 10 MTD WALK IN 2 4 6 2 4 6 9 33 % 1.71% 3.48% 5.17% 1.72% 3.77% 5.66% 8.74% 0.00% 0.00% 0.00% 2.92% ARR 652,892 692,148 619,834 619,834 692,148 630,853 634,526 #DIV/0! #DIV/0! #DIV/0! 645,379 REV 1,305,784 2,768,593 3,719,003 1,239,668 2,768,593 3,785,120 5,710,738 21,297,498 LONGSTAY - % 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% ARR #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! REV - CORPORATE 2 3 7 12 11 16 7 - - - 58 % 1.71% 2.61% 6.03% 10.34% 10.38% 15.09% 6.80% 0.00% 0.00% 0.00% 5.13% ARR 652,892 641,873 659,976 650,137 631,855 631,662 628,571 #DIV/0! #DIV/0! #DIV/0! 639,826 REV 1,305,784 1,925,618 4,619,831 7,801,645 6,950,406 10,106,600 4,399,996 - - - 37,109,880 GOVERNMENT - - - - - - 1 - - - 1 % 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.97% 0.00% 0.00% 0.00% 0.09% ARR #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! 619,835 #DIV/0! #DIV/0! #DIV/0! 619,835 REV - - - - - - 619,835 - - - 619,835 MEETING, MICE / CORP & GOV - - - - - - - - - - - % 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% ARR #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! REV - - - - - - - - - - - 3rd PARTY ONLINE 13 15 8 7 12 14 16 - - - 85 % 11.11% 13.04% 6.90% 6.03% 11.32% 13.21% 15.53% 0.00% 0.00% 0.00% 7.52% ARR 567,877 560,233 565,415 546,745 528,560 558,356 556,817 #DIV/0! #DIV/0! #DIV/0! 555,355 REV 7,382,396 8,403,498 4,523,317 3,827,212 6,342,717 7,816,978 8,909,079 - - - 47,205,197 DIRECT HOTEL BOOKING 9 13 8 14 16 18 13 - - - 91 % 7.69% 11.30% 6.90% 12.07% 15.09% 16.98% 12.62% 0.00% 0.00% 0.00% 8.05% ARR 649,219 664,335 619,834 648,169 637,912 623,507 630,006 #DIV/0! #DIV/0! #DIV/0! 638,815 REV 5,842,971 8,636,355 4,958,671 9,074,370 10,206,599 11,223,126 8,190,074 - - - 58,132,166 BW.COM - - - 1 - 1 - - - - 2 % 0.00% 0.00% 0.00% 0.86% 0.00% 0.94% 0.00% 0.00% 0.00% 0.00% 0.18% ARR #DIV/0! #DIV/0! #DIV/0! 497,602 #DIV/0! 497,602 #DIV/0! #DIV/0! #DIV/0! #DIV/0! 497,602 REV - - - 497,602 - 497,602 - - - - 995,204 RETAIL AGENTS 1 - - - - - - - - - 1 % 0.85% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.09% ARR 548,760 #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! 548,760 REV 548,760 - - - - - - - - - 548,760 GROUP SERIES/ PACKAGE - - - - - - - - - - - % 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% ARR #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! REV - - - - - - - - - - - WHOLESALER 2 7 3 6 11 8 10 - - - 47 % 1.71% 6.09% 2.59% 5.17% 10.38% 7.55% 9.71% 0.00% 0.00% 0.00% 4.16% ARR 581,860 564,132 559,807 554,284 530,736 528,110 528,934 #DIV/0! #DIV/0! #DIV/0! 541,917 REV 1,163,719 3,948,926 1,679,421 3,325,702 5,838,099 4,224,876 5,289,339 - - - 25,470,082 TOTAL ONHAND + FORECAST 1 2 3 4 5 6 7 8 9 10 MTD Room Sold 27 38 26 40 50 57 47 - - - 285 % 23.08% 33.04% 22.41% 34.48% 47.17% 53.77% 45.63% 0.00% 0.00% 0.00% 25.22% ARR 601,616 603,010 606,971 613,163 586,756 594,196 583,156 #DIV/0! #DIV/0! #DIV/0! 596,776 REV 16,243,630 22,914,397 15,781,240 24,526,531 29,337,821 33,869,182 27,408,323 - - - 170,081,124 TEN DAYS FORECAST VS BUDGET JAN 2021
Forecasting of Room Revenue MarketSegment Occ%BudgetMTD BudgetMTD BudgetByDay Budget10days ONHAND Occ%Onhand Varriance Occ%Varriance Corporate 41.69% 1109 36 370 58 5.13% 312 -36.56% Government 3.68% 98 3 33 1 0.09% 32 -3.60% MICE 8.61% 229 7 76 1 0.09% 75 -8.52% 3rdPartyOnline 15.00% 399 13 133 87 7.70% 46 -7.30% DirectHotel 15.19% 404 13 135 91 8.05% 44 -7.13% Retail Agents 6.50% 173 6 58 1 0.09% 57 -6.42% Wholeseller 9.32% 248 8 83 47 4.16% 36 -5.16% 100.00% 2660 86 887 286 25.31% 601 -74.69% MarketSegment BudgetARR ONHAND Varriance Corporate 550,045 639,826 89,780 Government 542,857 619,835 76,978 MICE 529,258 - (529,258) 3rdPartyOnline 556,391 554,028 (2,363) DirectHotel 594,059 638,815 44,756 Retail Agents 529,480 548,760 19,280 Wholeseller 504,032 541,917 37,884 550,000 506,169 (37,563) MarketSegment BudgetREV BudgetByDay Budget10days ONHAND Varriance Corporate 610,000,000 19,677,419 196,774,194 37,109,880 159,664,314 Government 53,200,000 1,716,129 17,161,290 619,835 16,541,455 MICE 121,200,000 3,909,677 39,096,774 - 39,096,774 3rdPartyOnline 222,000,000 7,161,290 71,612,903 48,200,401 23,412,502 DirectHotel 240,000,000 7,741,935 77,419,355 58,132,166 19,287,189 Retail Agents 91,600,000 2,954,839 29,548,387 548,760 28,999,627 Wholeseller 125,000,000 4,032,258 40,322,581 25,470,082 14,852,499 1,463,000,000 47,193,548 471,935,484 170,081,124 301,854,360
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Hotel's Basic Accounting Principles #13 by Dino Leonandri

  • 1. Hotel Basic Accounting and Cost Control #13 By : Dino Leonandri
  • 2. Forecasting Forecasts are the financial documents that are used to update the operating budget of an organization. Forecasts are flexible and provide the possibilities open to the management to carry out modifications in the operating budget during the operating cycle. This permits the management to take into consideration changes caused by the economic and market conditions as well as adapting to current trends. Forecasts are used to update the budget so that it reflects current business levels and conditions. Forecasting involves using current information and combining this information with established ratios and formulas to estimate or project future business levels and operations. Forecasting is the key management tool used to plan the details of the daily operations in the very short term such as tomorrow, next week or next month
  • 3. Forecasting Generally, four types of historical patterns can be recognized: seasonal, cyclical, trend, and random variations. 1. The seasonal pattern 2. The cyclical pattern 3. The trend pattern 4. Random variations
  • 4. Forecasting The seasonal pattern The seasonal pattern exists when the series of data fluctuates in a regular direction according to a particular period. This period could be within a day (lunch as opposed to dinners); during the week (week days as opposed to weekends); during the month (weekly variations within the month caused for example by the spending patterns of the inhabitants of the area in relation to their income flows); as well as the year (high season as opposed to low season). Management should be able to factor in such seasonal variations in their forecasts. The cyclical pattern The cyclical pattern results from the recurring and fluctuating levels of activity that a business or economy will experience over a long period of time. The five stages of the business cycle are growth, peak, recession, trough and recovery. Due to their irregularity, frequency, magnitude and duration variations it is much more difficult to make forecasts based on the cyclical pattern. When plotted on a graph, it is similar to the seasonal pattern except for the length of the pattern.
  • 5. Forecasting The trend pattern The trend is the overall projection of the long-term forecast of the activity that is being analyzed. Trends represent the general movement of a market or of an activity. This movement is either upwards or downwards. In general, it is best to move with the trends. This means that if the trend is upward, then forecasts should reflect that upward tendency and also caution should be exercised about making forecasts in situations where the trend is downward. Trends can vary in length from short, to intermediate, to long term. Random variations Historical data are also affected by random variations. Random variation simply indicates the absence of any pattern in the historical data. Statistical tools such as random factor analysis are normally used to try and understand if the outlying data is caused by an underlying trend or just simply a random event. If the random data is caused by an underlying trend, that trend will need to be addressed and remedied accordingly.
  • 6. Forecasting of Room Revenue Jan-21 ACTUAL ACTUAL ACTUAL ACTUAL ACTUAL ACTUAL ACTUAL FORECAST FORECAST FORECAST FORECAST(onhand) 1 2 3 4 5 6 7 8 9 10 MTD ROOMSALEABLEMTD 117 232 348 464 570 676 779 896 1013 1130 1130 ROOMSALEABLE 117 115 116 116 106 106 103 117 117 117 1130 Onhand 27 38 26 40 50 57 47 41 24 19 369 Occ% 23.08% 33.04% 22.41% 34.48% 47.17% 53.77% 45.63% 35.04% 20.51% 16.24% 32.65% Arr 623,042 625,846 606,971 613,163 602,128 594,196 583,156 595,613 598,198 601,050 602,962 TotalRev 16,822,143 23,782,164 15,781,241 24,526,533 30,106,416 33,869,183 27,408,323 24,420,133 14,356,758 11,419,953 222,492,847 Budget 86 86 86 86 86 86 86 86 86 86 858 Occ% 55.00% 55.00% 55.00% 55.00% 55.00% 55.00% 55.00% 55.00% 55.00% 55.00% 55.00% Arr 550,000 550,000 550,000 550,000 550,000 550,000 550,000 550,000 550,000 550,000 550,000 TotalRev 47,193,548 47,193,548 47,193,548 47,193,548 47,193,548 47,193,548 47,193,548 47,193,548 47,193,548 47,193,548 471,935,484 Variance -59 -48 -60 -46 -36 -29 -39 -45 -62 -67 -489 Occ% -56.01% -45.53% -56.96% -43.63% -34.10% -27.43% -36.96% -42.67% -58.86% -63.63% -31.35% Arr 516,464 489,712 525,233 494,843 477,208 462,548 509,844 508,262 531,284 535,481 510,040 Totalrev (30,371,405) (23,411,384) (31,412,307) (22,667,015) (17,087,132) (13,324,365) (19,785,225) (22,773,415) (32,836,790) (35,773,595) (249,442,637) FORECASTINLINEMTD 27 65 91 131 181 238 285 326 350 369 37 Occ% 23.08% 28.02% 26.15% 28.23% 31.75% 35.21% 36.59% 36.38% 34.55% 32.65% 3.27% ARR 623,042 624,682 619,621 617,649 613,362 608,772 604,547 603,424 603,065 602,962 602,962 TOTALREV 16,822,143 40,604,307 56,385,548 80,912,081 111,018,497 144,887,680 172,296,003 196,716,136 211,072,894 222,492,847 22,249,285 TENDAYSFORECASTVSBUDGETJAN2021
  • 7. Forecasting of Room Revenue Jan-21 ACTUAL ACTUAL ACTUAL ACTUAL ACTUAL ACTUAL ACTUAL FORECAST FORECAST FORECAST FORECAST 1 2 3 4 5 6 7 8 9 10 MTD WALK IN 2 4 6 2 4 6 9 33 % 1.71% 3.48% 5.17% 1.72% 3.77% 5.66% 8.74% 0.00% 0.00% 0.00% 2.92% ARR 652,892 692,148 619,834 619,834 692,148 630,853 634,526 #DIV/0! #DIV/0! #DIV/0! 645,379 REV 1,305,784 2,768,593 3,719,003 1,239,668 2,768,593 3,785,120 5,710,738 21,297,498 LONGSTAY - % 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% ARR #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! REV - CORPORATE 2 3 7 12 11 16 7 - - - 58 % 1.71% 2.61% 6.03% 10.34% 10.38% 15.09% 6.80% 0.00% 0.00% 0.00% 5.13% ARR 652,892 641,873 659,976 650,137 631,855 631,662 628,571 #DIV/0! #DIV/0! #DIV/0! 639,826 REV 1,305,784 1,925,618 4,619,831 7,801,645 6,950,406 10,106,600 4,399,996 - - - 37,109,880 GOVERNMENT - - - - - - 1 - - - 1 % 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.97% 0.00% 0.00% 0.00% 0.09% ARR #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! 619,835 #DIV/0! #DIV/0! #DIV/0! 619,835 REV - - - - - - 619,835 - - - 619,835 MEETING, MICE / CORP & GOV - - - - - - - - - - - % 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% ARR #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! REV - - - - - - - - - - - 3rd PARTY ONLINE 13 15 8 7 12 14 16 - - - 85 % 11.11% 13.04% 6.90% 6.03% 11.32% 13.21% 15.53% 0.00% 0.00% 0.00% 7.52% ARR 567,877 560,233 565,415 546,745 528,560 558,356 556,817 #DIV/0! #DIV/0! #DIV/0! 555,355 REV 7,382,396 8,403,498 4,523,317 3,827,212 6,342,717 7,816,978 8,909,079 - - - 47,205,197 DIRECT HOTEL BOOKING 9 13 8 14 16 18 13 - - - 91 % 7.69% 11.30% 6.90% 12.07% 15.09% 16.98% 12.62% 0.00% 0.00% 0.00% 8.05% ARR 649,219 664,335 619,834 648,169 637,912 623,507 630,006 #DIV/0! #DIV/0! #DIV/0! 638,815 REV 5,842,971 8,636,355 4,958,671 9,074,370 10,206,599 11,223,126 8,190,074 - - - 58,132,166 BW.COM - - - 1 - 1 - - - - 2 % 0.00% 0.00% 0.00% 0.86% 0.00% 0.94% 0.00% 0.00% 0.00% 0.00% 0.18% ARR #DIV/0! #DIV/0! #DIV/0! 497,602 #DIV/0! 497,602 #DIV/0! #DIV/0! #DIV/0! #DIV/0! 497,602 REV - - - 497,602 - 497,602 - - - - 995,204 RETAIL AGENTS 1 - - - - - - - - - 1 % 0.85% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.09% ARR 548,760 #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! 548,760 REV 548,760 - - - - - - - - - 548,760 GROUP SERIES/ PACKAGE - - - - - - - - - - - % 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% 0.00% ARR #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! #DIV/0! REV - - - - - - - - - - - WHOLESALER 2 7 3 6 11 8 10 - - - 47 % 1.71% 6.09% 2.59% 5.17% 10.38% 7.55% 9.71% 0.00% 0.00% 0.00% 4.16% ARR 581,860 564,132 559,807 554,284 530,736 528,110 528,934 #DIV/0! #DIV/0! #DIV/0! 541,917 REV 1,163,719 3,948,926 1,679,421 3,325,702 5,838,099 4,224,876 5,289,339 - - - 25,470,082 TOTAL ONHAND + FORECAST 1 2 3 4 5 6 7 8 9 10 MTD Room Sold 27 38 26 40 50 57 47 - - - 285 % 23.08% 33.04% 22.41% 34.48% 47.17% 53.77% 45.63% 0.00% 0.00% 0.00% 25.22% ARR 601,616 603,010 606,971 613,163 586,756 594,196 583,156 #DIV/0! #DIV/0! #DIV/0! 596,776 REV 16,243,630 22,914,397 15,781,240 24,526,531 29,337,821 33,869,182 27,408,323 - - - 170,081,124 TEN DAYS FORECAST VS BUDGET JAN 2021
  • 8. Forecasting of Room Revenue MarketSegment Occ%BudgetMTD BudgetMTD BudgetByDay Budget10days ONHAND Occ%Onhand Varriance Occ%Varriance Corporate 41.69% 1109 36 370 58 5.13% 312 -36.56% Government 3.68% 98 3 33 1 0.09% 32 -3.60% MICE 8.61% 229 7 76 1 0.09% 75 -8.52% 3rdPartyOnline 15.00% 399 13 133 87 7.70% 46 -7.30% DirectHotel 15.19% 404 13 135 91 8.05% 44 -7.13% Retail Agents 6.50% 173 6 58 1 0.09% 57 -6.42% Wholeseller 9.32% 248 8 83 47 4.16% 36 -5.16% 100.00% 2660 86 887 286 25.31% 601 -74.69% MarketSegment BudgetARR ONHAND Varriance Corporate 550,045 639,826 89,780 Government 542,857 619,835 76,978 MICE 529,258 - (529,258) 3rdPartyOnline 556,391 554,028 (2,363) DirectHotel 594,059 638,815 44,756 Retail Agents 529,480 548,760 19,280 Wholeseller 504,032 541,917 37,884 550,000 506,169 (37,563) MarketSegment BudgetREV BudgetByDay Budget10days ONHAND Varriance Corporate 610,000,000 19,677,419 196,774,194 37,109,880 159,664,314 Government 53,200,000 1,716,129 17,161,290 619,835 16,541,455 MICE 121,200,000 3,909,677 39,096,774 - 39,096,774 3rdPartyOnline 222,000,000 7,161,290 71,612,903 48,200,401 23,412,502 DirectHotel 240,000,000 7,741,935 77,419,355 58,132,166 19,287,189 Retail Agents 91,600,000 2,954,839 29,548,387 548,760 28,999,627 Wholeseller 125,000,000 4,032,258 40,322,581 25,470,082 14,852,499 1,463,000,000 47,193,548 471,935,484 170,081,124 301,854,360
  • 9. THANK YOU Please subscribe at : www.youtube.com/channel/UCHWtDItwtFziERwD0qIrP4Q
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