Forecasting Budgeting

Tier 1 (Direct API):

• Gmail → Pull accounting emails with P&L attachments, budget uploads, variance reports
• Google Drive → Access shared budget models, departmental templates, seasonal assumptions
• Google Sheets → Live labor trackers, booking curve data, event calendars

Tier 2 (Browser Pull):

• M3 / ProfitSword → Income Statement, Budget vs Actual, department-level P&L
• Delphi / Amadeus → Group pace report, pipeline by decision date, tentative blocks
• Opera / Mews PMS → Forecast report, booking pickup, room type distribution
• STR Portal → Historical RevPAR, occupancy, rate benchmarks (if available)

Tier 3 (Manual Upload):

• Excel file: 24-month P&L (rows: months, columns: departments and line items)
• Excel file: group pace and transient booking curve (rows: future dates, columns: rooms, rate, segment)
• CSV: room disruption calendar (date, reason, rooms out of service, anticipated impact)

Property Context

Before forecasting, read the property profile for:

• Seasonality patterns (which months are peak, shoulder, trough)
• Revenue center mix (% Rooms vs F&B vs other)
• Primary guest segments (corporate transient %, group %, leisure %)
• Room type distribution (king/double/suite split)
• Special events or seasonal drivers (convention season, ski resort winter, beach summer)
• Known constraints (union labor, franchise restrictions, market comp set)

Role Detection & Output Customization

The forecast output adapts based on the user's role:

• General Manager (GM): High-level 1-page narrative with key numbers, occupancy/ADR trends, profit impact, and 3–5 strategic recommendations
• Revenue Manager (RM): Detailed rooms forecast by segment, booking curve variance, rate strategy impact, and segment mix decomposition
• Finance Director / Controller: Full P&L reforecast, budget variance with rate/volume/mix drivers, cash flow implications, and departmental variance
• Director of Sales & Marketing (DOSM): Group pace detail, conversion assumptions, tentative block risk, and occupancy/revenue impact by sales vector

Core Forecasting Framework

Rooms Forecast

1. By Segment (build separately, then sum):

   • Transient: Apply same-year-ago (STYA) booking curve pickup to current pace. Adjust for known rate changes, market softness, or new demand drivers.
   • Group: Definite blocks at contracted rate; tentative blocks at high-risk % (default 70% conversion, adjustable). Add in pace of new proposals as they confirm.
   • Contract / Other: Extrapolate from historical agreement terms and renewal timing.

2. Adjust for Disruptions:

   • Subtract rooms out of service for renovations, maintenance, or natural disasters.
   • Add temporary inventory (overflow partner, pop-up rooms, if applicable).

3. Check Against Capacity: Never exceed available rooms. Flag if forecast overbooking.

Why: Segment-level forecasting captures different booking behaviors (group books months in advance; transient books days ahead). STYA booking curves are the most reliable anchor for transient demand absent external shocks.

ADR Forecast

1. By Segment & Room Type:

   • Extract STYA ADR by segment (transient corp, transient leisure, group, etc.).
   • Factor in rate strategy changes (rate fence removals, corporate contract renegotiations, seasonal adjustments).
   • Apply inflation factor if market is moving (typically 2–4% YoY in stable markets).
   • Account for mix shift: if group is replacing lower-ADR transient, blended ADR may rise or fall even if segment ADR is flat.

2. Validate Against Comp Set:

   • If STR or other competitive data is available, check that rate assumptions are reasonable vs. market.

Why: ADR is the second lever after occupancy. Separating rate from volume drivers clarifies whether margin pressure comes from losing transient occupancy or from forced rate concessions.

F&B Forecast

1. Tie to Rooms Occupancy:

   • Restaurant outlet covers = Occupied Rooms × Avg Covers per Occupied Room (outlet-specific; e.g., 30% breakfast capture, 20% lunch, 35% dinner)
   • Banquet revenue from group blocks: definite covers × contracted rate; tentative blocks at risk-adjusted cover estimates.

2. Variable Costs:

   • Food cost % tied to volume (typically 28–35% of F&B revenue); factor in inflation on COGS.
   • Labor (typically 35–45% of F&B revenue) partly variable with volume, partly fixed (kitchen skeleton crew).

3. Handle Events:

   • Pull banquet definites from booking system; add separate line for each catered event if needed.

Why: F&B is the most correlation-dependent expense; it drives cash and operational leverage. Occupancy swings directly affect restaurant traffic and banquet demand.

Departmental Expense Forecast

1. Fixed vs. Variable Split:

   • Fixed: Management salaries, rent/lease, insurance, franchise fees, certain utilities (baseline).
   • Variable: Housekeeping labor/supplies, food cost, credit card fees, commissions.
   • Semi-Variable: Utilities (baseline + variable usage), labor (minimum crew + variable overtime/casual).

2. Labor Forecast:

   • Extract actual hours by department from payroll system (Tier 2/3 data).
   • Estimate hours-per-occupied-room (HPR) by department from historical data.
   • Multiply forecasted rooms × HPR × average wage = departmental labor cost.
   • Account for seasonal labor (extra housekeeping in peak, layoff in trough).

3. Non-Labor:

   • Supplies: typically 3–6% of department revenue, scale with volume.
   • Utilities: split fixed base + variable per occupied room.
   • Other: depreciation (fixed), repairs & maintenance (fixed baseline + variable emergency spend).

Why: Labor is 30–45% of hotel operating costs and is often misforecasted. Tying it to occupancy and HPR metrics prevents naive linear scaling of headcount.

GOP / NOI Projection

• Gross Operating Profit (GOP) = Total Revenue − Operating Expenses
• Flow-Through Model: Forecast assumes that each incremental $1 of revenue flows through at the current GOP margin (e.g., if GOP margin is 40%, +$100 rooms revenue → +$40 GOP).
• NOI (Net Operating Income) = GOP − Debt Service − Reserves. Include capital reserve assumptions (if required by lender or ownership).

Why: Flow-through is a simple approximation; actual flow-through varies by segment (group with high F&B mix flows differently than transient). Separately modeling revenue and expense is more accurate than applying a single margin.

Variance Decomposition

When comparing forecast to budget, always decompose into:

• Rate Variance = (Actual ADR − Budgeted ADR) × Actual Rooms
• Volume Variance = (Actual Rooms − Budgeted Rooms) × Budgeted ADR
• Mix Variance = (Actual Mix % − Budgeted Mix %) × Room Revenue (if comparing segment-level)

Example: Rooms revenue miss of −$50K

• Rate variance: −$10K (ADR came in $5 lower)
• Volume variance: −$30K (missed 2 rooms per night)
• Mix variance: −$10K (higher % of group vs. higher-ADR corporate)

This decomposition tells the revenue manager what to action (rate strategy? occupancy chase? segment rebalance?).

Output Formats

1. Rolling 90-Day Forecast

• Weekly granularity for the next 12 weeks
• Columns: Week, Occ%, ADR, Rooms Revenue, F&B Revenue, Total Revenue, Rooms Cost of Sales, F&B Labor, Total Op Exp, GOP
• Includes: Actual YTD vs. forecast for weeks that have closed; forward forecast for open weeks
• Use Case: Weekly operations review, cash flow projection, labor scheduling

2. Monthly Reforecast

• Full P&L for the next 6–12 months in same layout as actual monthly results
• Variance columns: Budget vs. Forecast, $ var, % var (by line item)
• Rate/volume/mix decomposition for rooms revenue variance
• Footnotes: Key assumptions (macro changes, group conversions, labor actions)
• Use Case: Monthly board reporting, flash forecasting, departmental accountability

3. Annual Budget Model

• Excel workbook with tabs:
  1. Assumptions: Market ADR range, occupancy targets by segment, group pipeline, labor cost inflation, capital projects
  2. Monthly Detail: 12 months of P&L with all departments
  3. Department Breakdown: Labor hours by role, supply costs, controllable expenses
  4. Sensitivity: Tables showing GOP impact of ±2% ADR, ±3% occ, ±5% labor cost
• Use Case: Board approval, annual operating plan, strategic planning

4. Executive Summary

• 1-page narrative for GM/ownership with:
  • Year-over-year and YTD performance vs. budget
  • Key drivers of variance (segment mix, rate actions, cost inflation)
  • Occupancy and ADR outlook for next quarter
  • GOP projection vs. budget; implied profit variance
  • Top 3 risks and mitigation plan
  • Recommended actions (rate adjustment, cost control, revenue initiatives)

Budget Season Workflow

Step 1: Market Assumptions & Macro

• Comp set STR data (RevPAR growth, occupancy trend)
• Brand guidance on inflation, franchise fee escalation
• Economic outlook (recession risk, tourism trends)
• Consensus occupancy and ADR targets for the market

Step 2: Segment Build

• Transient corporate: historical mix %, ADR sensitivity to market, new corporate clients, travel policy changes
• Transient leisure: OTA dependency, rate elasticity, seasonal swings
• Group: pipeline (converted, committed, tentative), pace assumptions, group ADR (typically discount to transient)
• Contract: renewals, escalations, any expirations

Step 3: Revenue Centers

• Rooms: segment build × room count × ADR
• F&B: outlet-by-outlet capture rates, banquet catering pipeline, event calendar
• Other: ancillary (parking, resort fee, spa, golf, etc.)

Step 4: Expense Build

• Labor: by department and cost center, headcount plan (hires, attrition), wage inflation, benefits
• Fixed costs: management salaries, rent, utilities baseline, insurance, franchise fees
• Variable: food cost %, supplies, commissions, credit card fees, STR subscriptions

Step 5: Capital & Reserves

• Planned capital projects (cost, timing, rooms impact, expected ROI)
• Maintenance reserves (% of revenue or absolute $)
• Working capital assumptions

Step 6: Consolidation & Approval

• Sum all segments and departments into consolidated P&L
• Calculate GOP, NOI, EBITDA, EBITDAE
• Run sensitivity on key variables (occupancy, ADR, labor cost)
• Present to ownership for sign-off; document approvals

Key Forecasting Principles

1. Anchor to History: Start from STYA and adjust for known changes, not wishes.
2. Segment Separately: Transient and group have different booking curves and drivers.
3. Labor Discipline: Use HPR and occupancy, not headcount intuition.
4. Variance Transparency: Always decompose variance into rate, volume, mix, and cost drivers.
5. Document Assumptions: Future you (and finance review) will want to know why you forecasted 65% occ vs. 70%.
6. Stress Test: Run upside and downside scenarios; understand breakeven occupancy.
7. Update Frequently: Monthly reforecasts (not annual budgets only) keep operations aligned.

Operational Guardrails

• Never forecast occupancy >100% or negative revenue/costs.
• Cross-check occupancy formula: (Rooms Sold ÷ Available Rooms) × 100 = Occ%. Flag if STYA doesn't explain current pace.
• Validate ADR: If ADR is rising but transient rooms are falling, mix is shifting (group is rising). Document explicitly.
• Labor sanity check: CPOR (cost per occupied room) should be directionally stable unless staffing model changed. Flag anomalies.
• Flow-through reality: If GOP margin is 40% and rooms revenue is up 5%, expect GOP to grow ~6–7% (volume + deflation mix). If it's growing 2%, cost inflation is eating flow-through.

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Forecasting & Budgeting Skill v1.0 | 2026

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