Voice-enabled robots have moved from gimmick to game-changer in hotels. In 2025, falling hardware prices and on-device large-language models (LLMs) are fuelling a wave of robot concierges that boost revenue, slash wait times and delight guests around the clock.
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Personalisation in travel planning has evolved beyond targeted emails and “recommended for you” packages.
Once reserved for airlines and e-commerce giants, dynamic pricing has become the new cornerstone of hotel revenue strategy. Powerful large-language-model (LLM) engines and real-time data pipelines now let properties of every size reprice inventory in seconds, boosting RevPAR, squeezing out manual guesswork and delighting profit-hungry owners. Custom builds, off-the-shelf revenue-management suites and API-first “commercial-intelligence” platforms are fuelling a market expected to leap from US $3.97 billion in 2023 to US $6.29 billion by 2030 (7.6 % CAGR).
Voice-enabled robots have moved from gimmick to game-changer in hotels. In 2025, falling hardware prices and on-device large-language models (LLMs) are fuelling a wave of robot concierges that boost revenue, slash wait times and delight guests around the clock.
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