Nan Fung Group partnered with SAMEX to implement FAM & FM systems for full lifecycle digital asset management across multi-site operations, optimizing resource allocation, cutting costs, enhancing efficiency through workflow integration and data-driven insights.
Hong Kong’s Chinachem Group partnered with SAMEX to implement digital asset management and tenant portal, enabling full lifecycle tracking and data-driven decisions, boosting asset efficiency by 30%, optimizing costs, and strengthening multi-party collaboration.
Zhuhai Chimelong, a Macau-adjacent mega-resort, adopted SAMEX EAM in 2013 after global evaluations. The system ensures 100% equipment safety compliance across its theme parks and hotels since 2014’s launch.
Hang Lung Group, a Hong Kong real estate leader since 1960, implemented SAMEX EAM in 2016 to replace error-prone manual workflows. The system automated tenant service requests, asset tracking across 10 cities (e.g., Shanghai Plaza 66), and performance analytics, cutting maintenance response times by 40% while eliminating Excel-based data errors.
Nan Fung Group partnered with SAMEX to implement FAM & FM systems for full lifecycle digital asset management across multi-site operations, optimizing resource allocation, cutting costs, enhancing efficiency through workflow integration and data-driven insights.
Hong Kong’s Chinachem Group partnered with SAMEX to implement digital asset management and tenant portal, enabling full lifecycle tracking and data-driven decisions, boosting asset efficiency by 30%, optimizing costs, and strengthening multi-party collaboration.
Zhuhai Chimelong, a Macau-adjacent mega-resort, adopted SAMEX EAM in 2013 after global evaluations. The system ensures 100% equipment safety compliance across its theme parks and hotels since 2014’s launch.
Hang Lung Group, a Hong Kong real estate leader since 1960, implemented SAMEX EAM in 2016 to replace error-prone manual workflows. The system automated tenant service requests, asset tracking across 10 cities (e.g., Shanghai Plaza 66), and performance analytics, cutting maintenance response times by 40% while eliminating Excel-based data errors.
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