Mushiny Expands into Japanese Market, Showcases Cutting-Edge Warehousing Solutions

Mushiny, a leader in intelligent robotic logistics systems, announced the launch of its new subsidiary in Japan. The company aims to provide advanced warehousing solutions and robust technical support to the Japanese market. Mushiny plans to showcase new innovations at the upcoming LTT Expo, emphasizing automation and efficiency in logistics.

Mushiny, a global leader in intelligent robotic logistics systems, has announced the launch of its wholly-owned subsidiary, MUSHINY JAPAN CORPORATION. This strategic venture aims to deliver a full suite of products and technical support, reflecting Mushiny's philosophy of 'openness, collaboration, and win-win.'

Recent reports by Fortune Business Insights and the Foresight Industry Research Institute underscore the rapid growth of the smart warehousing market. The global warehouse automation market surged from $13.6 billion in 2021 to $15.7 billion in 2022 and is expected to reach $57.6 billion by 2031. Japan, a tech leader, is propelling the shift towards advanced automation in warehousing, driven by rising demand for intelligent solutions.

''Japan is a key strategic market for Mushiny,'' said Sam Ma, General Manager of Mushiny Japan. Strong partnerships with companies like Toshiba, Gaussy, and Ground have bolstered Mushiny's development since its entry in 2020. At the upcoming LTT Expo, Mushiny will unveil the 3D Sorter Intelligent Put Order Solution, capable of exceeding order fulfilment efficiencies of 10,000 pph, and introduce the newly upgraded MIX all-in-one goods-to-person solution, which significantly enhances speed, safety, and energy efficiency.

Founded in 2016, Mushiny operates in over 20 developed countries, employing approximately 200 people. The company offers three business models, including Mushiny, an intelligent warehousing solution; Mushiny AMR Customization Expert for stable and reliable logistics robot platforms; and Synall, featuring full-scenario hybrid robot scheduling systems.

(With inputs from agencies.)