Forecasting For Optimum Profitability Opportunity to Improve BSC scores
Agenda
1. Why Forecast 2. Current Forecast Trends a) 2019 Results & Trends
b) Best Practices and Learnings
3. Best in Class Hotels
a) SLLN- Rooms Revenue b) SLBL- F&B Revenue c) SLV- Cost Forecast
4. Optimal Use of Tools For Better Forecast
5. Changes to BSC Measurements for 2020
2
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Forecast: To Enable High Value Business Decision Making
High
S&M Plan
Staffing Levels
Cash Flow
Inventory & Distribution Strategy
Purchase Decisions
Intervene
Operations Planning
Hotel Maintenance
Pricing Strategy
Financial Forecast
Low
3
2019 Shangri-La Group. All Rights Reserved.
2019 Results
4
BSC Score 2019: EBITDA Forecast Accuracy
6
O P P O R T U N I
5
4.1
Best Performance- SLLN
4
No. Of Months < 1% : 4
No. Of Months 1- 5% : 4
3
2.6
2.3
T Y
2
2
1.3
1.3
1.2
1.1
1.1
1
1
0.7
0.5
0.3
0.3
0
HJMD SLTO SLPR
SLAD
SLIB
SLND SLTR
SLMD SLMU SLV
THAD SLBL
SLDB
SLLN
5
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2019 Trends : Average Forecasting Variance (Monthly)
25%
EBITDA –Below 10%
23%
No. of hotels : 1
21%
Lowest Yearly Average : 9.8%
20%
20%
Highest yearly Average : 37.5%
GOP –Below 10%
15%
No. of hotels : 0
Lowest Yearly Average : 10.4%
10%
10%
Highest yearly Average : 31.4%
8%
7%
6%
6%
GOR –Below 5%
5%
No. of hotels : 3
Lowest Yearly Average : 2.6 %
0%
Rooms
F&B
Banquets
GOR
Dept Cost
UD Cost
GOP
EBITDA
Highest yearly Average : 10.6 %
6
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Best Practices
and Learnings
7
GOR Forecast Process Flow and Ownership
Room Revenue Forecast DORO
Groups Forecast
DOSM DOS
Catering Revenue Forecast DOEM
Inhouse Covers & Event Covers for ADD
GOR Forecast
DORO DOSM
F&B Outlet Forecast
Reviewed & Approved by GM
Occ. & Covers
DOFB
OOD Revenues
DORO DOSM
Respective HOD
DORO DOSM
Forecast by Segment by Day Forecast by Seg ent by Day
Forecast by Day
Hotel GOR
ODD Revenue Forecast
Forecast by Outlet Forecast by Outlet
r
t
8
GOR to EBITDA Forecast Process Flow and Ownership
DOR
EHK
Room Cost
Chef
DOFB DOF
F&B Cost
EBITDA Forecast
HOD
DOF
OOD Cost
Occupancies by Day, Covers & Total Revenues
GM
DOHR
HODs
Labour Cost
Undistributed Expenses
Consolidated & Verified by DOF
DOF
DOE
DOSM
DOC
A&BP
9
High value decision require long term visibility
Hotel SLV SLTO SLPR SLLN HJMD THAD SLTR SLND SLMU SLMD SLIB SLDB SLBL SLAD Apr 0% -1% 0% 0% 0% 1% -15% 2% 4% 0% 1% 0% 0% 0% May 0% 0% 0% 0% 0% 1% -6% 0% 20% 0% 7% 0% 0% 2% Jun 2% -5% -2% 0% 0% 0% -1% 0% -11% 0% 7% -4% 0% 1% Jul -1% -6% -3% 0% 0% 8% 9% 0% 0% -13% 2% 0% 0% 2% Aug -2% -4% -5% 2% -1% 0% -1% 0% -4% -13% 0% -11% 0% -1% Sep 0% 0% -11% 1% -2% 1% 0% -2% 15% -8% 2% -10% 0% -2% Oct -18% -7% -10% 5% 0% -10% 0% -2% -5% -25% -2% -13% -4% -1% Nov -10% -11% -11% 0% -4% -16% -3% 0% -13% -27% -9% -18% -6% -11% Dec 2% -2% -10% 4% -7% -14% 4% 2% -18% -32% -16% -14% -7% -16% Forecast Vs Budget
10
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We tend to over Forecast “Volume”
50% Room Revenue Forecast > Actual
68% F&B Revenue Forecast > Actual
Occupancy: 6 times out 10 times
Covers: 5.7 times out 10 times
•
•
ADR: 4.2 out 10 times
Check: 5.5 out 10 times
•
•
Room Revenue: 5 out 10 times
F&B Revenue: 6.8 out 10 times
•
•
11
Over Forecast “Volume” = Over Forecast Cost
69% Forecast Total Cost > Actual
Over Forecasting Cost: 6.9 times out 10 times
12
Best in Class
13
SLLN: Room Revenue Forecast Variance
8.0%
6.2%
6.0%
SLLN : Avg Variance 2.4%
4.5%
4.3%
No of Months below =>2% : 7
4.0%
No of Months below 2- 5% : 4
2.0%
1.8%
2.0%
1.4%
1.3%
1.0%
Average ADR Variance : 3.3%
0.0%
Average Occ. Variance : 4.2%
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
-0.7%
-0.1%
-2.0%
-2.6%
-3.3%
-4.0%
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Start by building a Robust Strategy
Understand demand trends- pace vs STLY or vs. similar period CY.
•
Impact of Strategy by Segment
Build in impact of your strategy.
•
Demand Trends
Look at and forecast special events separately.
•
Special Events & Market trends
• Forecast by segment by day – do not just forecast the segment for the month overall.
Detailed Day by day forecast
Focus on the BIG 3 segments – get these right.
•
Focus of Big 3 Segments
• Implement sell strategy by segment.
15
SLBL: F&B Outlets Forecast Variance
10.0%
6.4%
5.0%
4.1%
SLBL : Avg Variance 5.8 %
2.0%
No of F&B Outlets: 9
0.3%
0.0%
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Ratio of Outside Covers: 70%
-2.3%
0.0%
-5.0%
No of Months below 5% : 5
-5.2%
-7.4%
-7.4%
-7.8%
-10.0%
-10.6%
-15.0%
-15.5%
-20.0%
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Ownership and Long Term Planning
3 Months Rolling F&B Calendar
Ownership with Restaurant Managers
Division’s forecast is built up from
F&B Promotions Calendar is planned
•
•
each outlet manager’s inputs thereby promoting individual ownership.
well in advance and is finalized 3 months out by the participating outlets
17
SLV: Total Cost Forecast Variance
6.0%
4.4%
3.7%
3.6%
4.0%
3.5%
SLV : Avg Variance 3 %
2.0%
No of Months below 1% : 4
0.4%
0.0%
0.0%
Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
No of Months 1-5% : 8
-1.1%
-1.4%
-2.0%
-1.6%
-1.6%
Ratio of Months with Cost Over Forecast : 50%
-3.5%
-4.0%
-6.0%
-6.4%
-8.0%
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BSC Best Practices Sharing – Our Business
1. Importance of ownership and establishing lines of communication ▪ Overall responsibility of DoF but collaboration with all HoDs ▪ Each HoD should own their respective P&L
2. Adhere to the Forecast Sequencing
Preliminary Forecasting Discussions with ExCom
• Room Revenue Management • F&B P&L • A&BP expenses adjustment • Labor Costs
Soft Forecast
Final Forecast
3 rd /4 th
26 th
Last week of the month
Monitor the expenses daily
19
BSC Best Practices Sharing – Our Business
3. Have the right cost control processes in place ▪ Direct Costs:
– Purchase Order control on the procurement system – F&B purchases monitored by the cost controller – Daily food flash sent to the Kitchen team and F&B leaders – Phasing costs across the months to help manage cash flow (e.g. bulk orders, guest/operating supplies) ▪ Undistributed Operating Expenses – Utilities: monitor weather forecast & predict consumption changes – Preventive Maintenance Program ▪ Fixed Costs ▪ Contingency Plan required for unexpected events and market volatility: know where are the savings, where to freeze first
4. Always forecast costs by monitoring your cash balance to avoid any type of liquidity crisis. Adjust the working cap accordingly
5. Publish, monitor and adjust results
20
Optimal Use of Tools
21
Tools: Turn Big Data into Smart Data
Data Analysis
Market Trends
Comp Set Intelligence
22
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Pillars for Forecasting
Market Trends
Comp Set Intelligence
Internal Data Trends
23
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IDeaS RMS: Uses Advanced Analytics to Forecast for rolling 365 days
24
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IDeaS RMS: Easy to use Dashboards providing Demand Forecast and Trends
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IDeaS RMS: Easy to use Dashboards providing Demand Forecast and Trends
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IDeaS RMS: Operations Planning Report
27
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IDeaS RMS: Operations Planning Report
28
2019 Shangri-La Group. All Rights Reserved.
MINABA/Ontrack: Demand Forecast data for better Labour Management
Director of Revenue inputs forecast
Occupancy
• • •
Arrival/departure
Guest count
IDeaS Operation Report
MINABA Report / Ontrack.
Combined & Misc Activities Room Credits
Combined & Misc Activities Arr + Dep
Rooms Statistics Ttl Arrivals
Room Statistics Ttl Departures
Room Statistics Ttl Rooms Occ
Room Statistics Ttl Guests
Date
Weather Hi
Weather Low
Weather Sky
12/6/2018
2
-3
Mix Snow / rain
87
98
179
197
214
185
12/7/2018
-3
-5
Light snow
56
137
96
108
115
193
12/8/2018
-2
-5
Mix Snow / rain
126
43
183
202
219
169
12/9/2018
-1
-5
Light snow
57
139
95
107
114
196
12/10/2018
-1
-2
Light snow
82
29
132
146
158
111
12/11/2018
-2
-3
Light snow
89
66
154
171
184
155
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MINABA/Ontrack: Demand Forecast data for better Labour Management
• With the determined labor standard the actual allocated hours for next week are determined for each HOD • They will input the schedule and will need to ensure that the labor is in line with the forecasted hours • This will be review and adjusted on Thursday if unable to justify the variance
• Tuesday – Room forecast Enter for next 2 week • Wednesday – DOH Input covers & Schedule • Thursday – Labor Meeting& Revision of Schedule • Friday – posting Schedule in department
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Tableau: Easy to use Business Trend Dashboards
31
Tableau: Easy to use Business Trend Dashboards
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Pillars for Forecasting
Internal Data Trends
Market Trends
Comp Set Intelligence
33
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Demand 360: Use Historical & Future pace data to anticipate comp sets action and strategies
34
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Demand 360: Detailed information even to a per day level
35
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Demand 360: Information available at Market and Channel Segment level
36
2019 Shangri-La Group. All Rights Reserved.
Pillars for Forecasting
Internal Data Trends
Market Trends
Comp Set Intelligence
37
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Forward Keys – Identify Risk and Opportunities for Planning
38
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HOTSTATS: Market Cost & Profit Trends
39
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Forecasting in
Uncertain Times
40
Scenario Planning- dealing with uncertainties (i.e.Covid-19)
• Define the multiple potential scenarios • Revenue drop by X%
Assumptions
• Clearly define your Trigger Points • e.g. Travel Restrictions announced/ Flights from largest market stopped •OTB drop to X level.
Trigger Point
• Daily Tracking • Consistent Reporting
Tracking
•What actions will be taken ? •Who is responsible ?
Action
• Action have been implemented and are getting the desired results
Review
41
BSC 2020 Targets
42
Changes to Measuring Mechanics
Three Months Trends
1% Bonus Points
15%
The calculation will be based on a average of monthly and 3 monthly forecast trends.
If the variation is below 5 % for half of the forecast.
Expanded Variation Range
43
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Going Forward
2020
44
Forecast to Optimum Profitability
Forecasting is critical step for strategy and planning.
•
• It is a team exercise, but with clearly defined ownership.
• Hope for the Best but plan for the Worst, keep your scenario’s ready.
• Forecast EBITDA for at least rolling three months, to enable high value decision making.
Focus on profitability not volume.
•
• In present business environment for planning and forecasting market and comp set information is critical.
45 2019 Shangri-La Group. All Rights Reserved.
Q&A
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