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Showing posts from May, 2025

Ultimate Guide: Precium vs Revenue Manager

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  Confused between hiring a Revenue Manager or investing in Precium? This guide explores the key differences, benefits, and how to choose the right fit for your hotel. In a competitive hospitality market, effective pricing and demand forecasting can make or break profitability. That’s why many hoteliers turn to Revenue Management to maximise earnings. But one big question often arises: Should you invest in a Precium or hire a Revenue Manager—or both? In this guide, we break down the differences, benefits, and how each approach can impact your hotel’s bottom line. What is a Revenue Manager? A Revenue Manager is a specialist responsible for analysing data, forecasting demand, and developing pricing strategies. Their job includes evaluating historical data, understanding market trends, and making decisions to optimise Revenue across all channels. Key Responsibilities: Pricing strategy and yield management Forecasting occupancy and revenue Channel performance analysis Interpreting...

How Artificial Intelligence Affects Revenue Management and Pricing

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  Explore how AI is transforming Revenue Management and pricing strategies in the hospitality industry, enabling more accurate forecasting, dynamic pricing, and smarter decision-making. The hospitality industry is experiencing a transformation, with AI emerging as a powerful driver of innovation in Revenue Management and pricing strategies. Hotels and accommodation providers are using AI to adapt to fluctuating demand to make real-time pricing decisions that boosts profitability. Let’s break down how AI is reshaping the future of Revenue Optimisation. What is AI? AI- Artificial Intelligence enables systems to learn from data and improve accuracy over time. In Revenue Management, it helps analyse large volumes of historical and real-time data to detect patterns, make predictions, and informed decisions. Benefits of AI in Revenue Management 🔵 Improved Demand Forecasting AI algorithms analyse booking trends, seasonality, events, competitor activity, and market behaviour to predi...