Collaboration with Roboticize… Achieved 100% Delivery Success Rate
QR Order Integration Tripled Hotel Room Service Revenue
Optimized Robot Dispatch with TMS-based Demand-Supply Prediction, ‘[Edaily Reporter Lee Sohyun] Kakao Mobility has significantly improved the operating efficiency of hotel delivery robots based on a robot platform and has validated a commercial service model.’,
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, ‘On the 16th, Kakao Mobility announced that after collaborating with autonomous robot company Roboticize to operate robot delivery services in domestic hotels, the robot operation rate increased approximately eightfold compared to the initial phase, with a delivery success rate of 100%.’,
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, ‘The two companies have signed a business agreement to launch a platform-based indoor and outdoor delivery robot service by 2024 and have been operating robot delivery services in major hotels in Seoul. The service is currently applied in places such as Shilla Stay Seocho and Banyan Tree Club & Spa Seoul.’,
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, ‘After adopting the Kakao Mobility platform, robot operation efficiency greatly improved. As instances of delivery failure decreased, the delivery success rate reached 100%, and hotel staff could focus more on high-value tasks such as customer interaction due to reduced repetitive tasks.’,
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, ‘The platform implementation also influenced revenue increase. In one hotel, room service revenue tripled after integrating a QR-based ordering system with the robot delivery service.’,
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, ‘Kakao Mobility explained that these achievements resulted from integrating robots and service infrastructure into a single platform, thereby enhancing operational efficiency. The robot platform integrates infrastructure management, security, heterogeneous robot control, and malfunction management, linking the hotel space environment, staff, and robot operations organically.’,
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, ‘Additionally, by applying real-time demand-supply prediction algorithms based on the Transportation Management System (TMS), robot dispatches were automated. The platform analyzes delivery orders, and assigns the optimal robot by considering each robot’s characteristics and estimated time of arrival (ETA) using an ‘Orchestration’ method.’,
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, ‘Kakao Mobility plans to expand its services to hospitals, residential areas, offices, logistics, and various other industry sectors based on the robot platform model verified in hotels. To this end, they intend to expand collaborations with domestic robot companies like LG Electronics and Bear Robotics and aim to build a robot platform ecosystem.’,
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, ‘Kim Jinkyu, Head of Physical AI Division at Kakao Mobility, stated, “The robot platform is a key infrastructure that connects manufacturer technology with industry field demands,” adding, “We will support the expansion of the domestic robot ecosystem based on mobility technologies such as demand forecasting, optimization, and routing.”’,
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