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In a busy hotel, pricing can easily slip off your radar. When you wait too long to respond to shifts in demand, you miss your window to optimize revenue

The main value of agentic AI is that it automates entire multi-step workflows by bridging the gap between systems

MCP. GEO. Agentic AI. LLMs. They are dropped into conversations as if everyone already knows what they mean. Most people nod along

AI has not eliminated the travelers journey; it has condensed it. Discovery is faster, options are filtered earlier with less touchpoints before deciding

Applied strategically, early bird campaigns allow hotels to capture high-intent guests early, protect rate integrity, and reduce dependency on OTA demand

For GMs and owners, the real question isn’t whether revenue management is changing. It is whether your strategy is changing with it

Today’s profitable hotels skip the guesswork and gut instinct in favor of precision pricing, recognising the market shifts fast these days

By leveraging Offline Reinforcement Learning to optimize pricing and On-Demand Intelligence, airlines can achieve a new tier of revenue maximization

The overarching theme for 2026 is execution. Efficiency and process optimisation will separate resilient hotels from those that struggle

The next phase of competitive advantage for hotels will be defined by profitability, channel intelligence, and a guided approach to direct bookings