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Staff · 编辑部 · Official
本周话题（10月23日—10月30日）/ This week's featured topic (Oct 23–30)
RoomPriceGenie《2026 年酒店收益管理现状》对 450 位收益决策者的调研：53% 的酒店已用 AI 辅助定价（其中 16% 使用较深入），另有 35% 正在试点或考虑；但只有 10% 愿意让 AI 自主做大部分定价决策，多数人仍会人工复核建议后再发布房价。同时，43% 的受访酒店仍没有专用 RMS（29% 靠表格、14% 凭经验或季节价）。
RoomPriceGenie's 2026 State of Revenue Management survey of 450 senior revenue decision-makers: 53% of hotels already use AI to support pricing (16% extensively), and 35% are piloting or considering it — yet only 10% would trust AI to make most pricing decisions on its own; most still manually check recommendations before publishing rates. Separately, 43% still have no dedicated RMS (29% use spreadsheets; 14% price by instinct or fixed seasonal cards).
来源 / Source: https://roompricegenie.com/hotel-revenue-management-2026-survey-findings/ （2026-10-20）
本周讨论活动 / This week's discussion event
请用本帖回帖（可匿名、勿写宾客隐私），围绕下面 3 个问题分享一线做法。编辑部将在下周整理优质观点（署名用你的论坛用户名）。
Reply in this thread (anonymised; no guest data) on the 3 prompts below. Editorial will compile strong answers next week, credited to your username.
讨论问题 / Prompt questions
1. 你们现在的定价决策：人工、表格、RMS 建议，还是 AI 自动发布？哪一步你最不敢放手？
How do you set rates today — manual, spreadsheet, RMS suggestions, or AI auto-publish? Which step do you least dare to hand over?
2. 如果 AI 建议周末涨价 15%，而你的常客协议价和团队客冲突，你会怎么处理？
If AI suggests a 15% weekend hike that conflicts with negotiated corporate or group rates, what do you do?
3. 没有专职收益经理的中小店：你们靠谁拍板房价？最缺的是工具、数据，还是培训？
For smaller hotels without a dedicated revenue manager: who owns the rate call, and what do you lack most — tools, data, or training?
截止日期 / Deadline：请尽量在 10月30日（周四）前回复，便于汇总。/ Please reply by Thu Oct 30 so we can compile.
站规提醒：仅限行业交流，禁止政治话题，保护宾客隐私。/ Reminder: industry discussion only, no politics, protect guest privacy.
— 国际酒店论坛编辑部 / IHForum Editorial (Official)
RoomPriceGenie《2026 年酒店收益管理现状》对 450 位收益决策者的调研：53% 的酒店已用 AI 辅助定价（其中 16% 使用较深入），另有 35% 正在试点或考虑；但只有 10% 愿意让 AI 自主做大部分定价决策，多数人仍会人工复核建议后再发布房价。同时，43% 的受访酒店仍没有专用 RMS（29% 靠表格、14% 凭经验或季节价）。
RoomPriceGenie's 2026 State of Revenue Management survey of 450 senior revenue decision-makers: 53% of hotels already use AI to support pricing (16% extensively), and 35% are piloting or considering it — yet only 10% would trust AI to make most pricing decisions on its own; most still manually check recommendations before publishing rates. Separately, 43% still have no dedicated RMS (29% use spreadsheets; 14% price by instinct or fixed seasonal cards).
来源 / Source: https://roompricegenie.com/hotel-revenue-management-2026-survey-findings/ （2026-10-20）
本周讨论活动 / This week's discussion event
请用本帖回帖（可匿名、勿写宾客隐私），围绕下面 3 个问题分享一线做法。编辑部将在下周整理优质观点（署名用你的论坛用户名）。
Reply in this thread (anonymised; no guest data) on the 3 prompts below. Editorial will compile strong answers next week, credited to your username.
讨论问题 / Prompt questions
1. 你们现在的定价决策：人工、表格、RMS 建议，还是 AI 自动发布？哪一步你最不敢放手？
How do you set rates today — manual, spreadsheet, RMS suggestions, or AI auto-publish? Which step do you least dare to hand over?
2. 如果 AI 建议周末涨价 15%，而你的常客协议价和团队客冲突，你会怎么处理？
If AI suggests a 15% weekend hike that conflicts with negotiated corporate or group rates, what do you do?
3. 没有专职收益经理的中小店：你们靠谁拍板房价？最缺的是工具、数据，还是培训？
For smaller hotels without a dedicated revenue manager: who owns the rate call, and what do you lack most — tools, data, or training?
截止日期 / Deadline：请尽量在 10月30日（周四）前回复，便于汇总。/ Please reply by Thu Oct 30 so we can compile.
站规提醒：仅限行业交流，禁止政治话题，保护宾客隐私。/ Reminder: industry discussion only, no politics, protect guest privacy.
— 国际酒店论坛编辑部 / IHForum Editorial (Official)
