Yunji Technology to Launch Human-Robot Symbiosis Value Model as PolyU Study Shows Hotel Robots Lift RevPAR 9.63% per 1,000 Tasks
English summary
A Hong Kong Polytechnic University study using Yunji Technology's operational data from 357 hotels found that each additional 1,000 robot tasks increases occupancy by 4.007%, average daily rate by 4.57%, and RevPAR by 9.63%. On June 25, Yunji will launch the 'Human-Machine Symbiotic World Value Model,' which defines service robot value through two dimensions: commercial value (stable fulfillment, lower collaboration costs) and emotional experience value (proactive emotion detection, trust-building). The model leverages a system that captures guest emotions in real time and suggests optimal service actions before complaints escalate. This shift from hardware competition to system-level intelligence is backed by Yunji's dataset spanning over 40,000 scenarios and 11 billion tasks, marking a transition where robots amplify both revenue and empathetic service.
Chinese summary
香港理工大学利用云迹科技357家酒店的运营数据研究发现，机器人任务每增加1000次，入住率提升4.007%，平均房价上涨4.57%，RevPAR增长9.63%。6月25日，云迹将发布“人机共生世界价值模型”，从商业价值（稳定履约、低协同成本）和情绪体验价值（主动情绪感知、信任积累）两个维度定义服务机器人的价值。该模型基于实时捕捉客人情绪并提前提供最优服务方案的系统，能消除差评。此举标志着赛道从硬件竞争转向系统级智能，依托云迹覆盖4万多个场景、超110亿次任务的数据资产，机器人正同时放大收益和共情服务。
Key points
A PolyU study using Yunji’s real hotel data quantifies robot impact: +4.007% occupancy, +4.57% ADR, and +9.63% RevPAR per 1,000 extra tasks.
港理工利用云迹真实酒店数据量化影响：每增加1000次机器人任务，入住率升4.007%，平均房价升4.57%，RevPAR升9.63%.
Yunji will release the Human-Machine Symbiotic World Value Model on June 25, formalizing how to measure commercial and emotional value from human-robot collaboration.
云迹将于6月25日发布人机共生世界价值模型，系统衡量人机协同的商业价值与情绪体验价值.
The model enables proactive service recovery by detecting guest emotions in real time via an AI voice agent and suggesting tailored solutions before complaints arise.
模型通过AI语音管家实时捕捉客人情绪并给出个性化服务建议，在投诉发生前主动干预.
The industry is transitioning from hardware-based competition to system-level value creation, with Yunji leveraging over 4万 scenarios and 11 billion tasks to define this shift.
行业从硬件比拼转向系统价值创造，云迹凭借4万+场景和110亿次任务积累的数据定义新范式.