anders@demandcalendar.com (Anders Johansson) - 10 Minutes News for Hoteliers - Page 4

4 min

Hotel Technology Must Transform Processes, Not Just Automate Existing Inefficiencies, for Real Efficiency Gains

🏨 Hoteliers face challenges with tech tools: while "built by hoteliers" promises alignment, current processes remain flawed. Hoteliers often spend hours manually rebuilding forecasts, leading to inefficiency. A unified forecast for finance, sales, and revenue can streamline decision-making, preventing wasted time on outdated processes. When evaluating vendors, prioritize whether tools transform processes rather than simply automate existing ones. Effective tools should enable decisions and track outcomes, ensuring profit, not just speed.

Hotel Portfolios Benefit from Horizon-Based Review Strategy, Shifting Focus from Individual Properties to Strategic Coordination

🏨 Twelve hotels have 36 forecast horizons, split into strategic (120+ days), tactical (30-120 days), and operational (within 30 days). A portfolio review by horizon reveals patterns across properties, enabling strategic budget reallocation and coordinated promotions. Standardized forecasting ensures comparability. Aligning the portfolio allows for managing demand across all hotels, transforming separate forecasts into one unified plan. Early identification of soft quarters affords proactive measures, optimizing profitability and resource allocation across the group.

3 min

General Managers Should Prioritize System Integration Skills Over Excel Fluency in Revenue Management Hires

📈 A new Revenue Manager joined a team and by Friday, ran a parallel forecast that did not match the shared system. Despite 10 years of experience, her reliance on Excel led to trust issues as forecasts differed. Within one week, the team's trust crumbled due to this parallel system. Warning signs include mismatched numbers, shared forecasts as PDFs, and blocked solo time. Hiring should focus on curiosity about shared systems rather than Excel skills to prevent these issues.

2 min

Reliance on Single Revenue Manager's Excel Forecasts Poses Significant Succession Risk and Operational Challenges for Hotels

📈 Eleven years: A Revenue Manager relies on a complex Excel workbook with 14 tabs, hidden columns, named ranges, and 3 macros. When they're absent in August for three weeks, forecasts freeze or rely on guesses. Succession risks arise with budgets revised in Q1 and onboarding costs as new hires spend six months unraveling previous logic. Decision latency, knowledge transfer time, and cross-team trust are critical metrics. A shared system ensures continuity and strategy visibility for all teams.

3 min

AI in Hospitality Requires Unified Forecasts for Effective Implementation, Not Just Faster Processes

💻 AI solutions for hotels promise faster insights but falter without unified forecasts. Different departments—Revenue, Sales, Marketing, F&B, Operations, Finance, and GM—rely on disparate forecasts. AI accelerates decision-making but multiplies errors if the data lacks consistency. Current AI focuses on room data, neglecting other revenue streams like F&B and spa. Successful hotels prioritize a single, comprehensive forecast, integrating all revenue streams and profits. Before adopting AI, ensure vendors address which forecast their system uses—it's crucial for meaningful insights.

3 min

AI Tools Enhance Revenue Management Efficiency, But Collaboration Across Hotel Departments Is Crucial for Maximum Impact

📈 By 8 am on Monday, an AI agent provides a forecast summary, saving two hours. However, misalignment occurs as Sales, Marketing, and F&B make decisions based on outdated information. Despite fast data processing, the real issue is the forecast not being shared across departments, leading to inefficiencies. The solution: a unified forecast for all departments to enhance collaboration and decision-making, saving more time than just relying on AI.

4 min

Hotel Revenue Strategies Must Shift from Competitive Set Analysis to Unified Demand Forecasting for Profitability

📈 Three teams, three forecasts, one loss: Sales, Revenue, and Marketing teams at a hotel operated separately, causing a missed opportunity of €11,000 when a 200-room group was priced at €110 instead of €165. Despite RGI being up, profit decreased due to a shift to OTAs and increased CAC. A unified forecast approach across all revenue streams, including F&B and ancillary services, is needed to prevent these inconsistencies and optimize revenue.

3 min

Forecast Misalignment: Hotels Should Grade Strategic, Tactical, Operational Forecasts Separately to Drive Effective Outcomes

📈 Missed March forecast by 6% after launching a successful February campaign. Forecasts serve three roles: shaping future demand (120+ days), adjusting pace (30-120 days), and guiding short-term operations (0-30 days). Strategic success is measured by revenue change, tactical by revenue lift, and operational by MAPE within 2-3%. Align all departments to view and assess forecasts based on their specific time horizon. Accurate grading of forecasts is essential to reward the right work and foster improvement.

4 min

Every New Hotel Acquisition Without Data Consolidation Increases Financial Complexity and Operational Costs for Hotel Groups

🏨 You closed the ninth hotel last quarter. The finance team needs six weeks to generate one group P&L due to differing systems. With ten hotels, inconsistent KPI definitions make reconciliation a full-time job. Group RevPAR appears up by 4%, but inaccuracies prevent confident decision-making. Consolidation—standardizing systems and definitions—can reduce integration time from six months to 60 days and cut reconciliation costs, which constitute half of the finance team's yearly budget at nine hotels, and fully at fifteen.

3 min

Independent Hotel Loses €6,700 in Net Revenue by Prioritizing Group Booking Over Transient Demand in April

📈 April saw a 150-room hotel close with a corporate group booking 80 rooms for 3 nights at €120 per room, displacing transient bookings at €158 per room. The group generated €45,000 in revenue but netted €30,120 after costs, compared to €36,820 from displaced transient bookings. This resulted in a €6,700 revenue gap. Commercial reports missed this due to data fragmentation. NetRevPAR could prevent future losses by integrating real-time revenue, costs, and demand data.

Input your search keywords and press Enter.