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UniUni Partners with Global Robotics Services to Elevate Last-Mile Logistics with Advanced Robotic Sortation
UniUni Partners with Global Robotics Services to Elevate Last-Mile Logistics with Advanced Robotic Sortation

Cision Canada

time24-04-2025

  • Business
  • Cision Canada

UniUni Partners with Global Robotics Services to Elevate Last-Mile Logistics with Advanced Robotic Sortation

RICHMOND, BC, April 24, 2025 /CNW/ -- UniUni, a leading last-mile logistics provider, is proud to announce its strategic partnership with Global Robotics Services (GRS), a global innovator in robotic sortation systems. This collaboration marks a significant milestone in UniUni's ongoing commitment to leveraging cutting-edge technology to enhance operational efficiency and customer experience. By integrating GRS's state-of-the-art robotic sortation solutions, UniUni will achieve significant operational improvements, including: Enhanced Efficiency: Automation will dramatically increase sorting speed, enabling UniUni to process a higher volume of parcels with reduced manual intervention. Proven Reliability: World-class hardware and software combine to ensure systems function with the highest degree of reliability Improved Accuracy: GRS's precision-driven robotic systems have an accuracy of more than 99.99%, ensuring we deliver on customer expectations. Operational Scalability: The flexibility of GRS's solutions allows UniUni to scale its operations efficiently, adapting to varying volumes and demands, and expanding its service capabilities across North America. "At UniUni, we continuously embrace innovation to refine our logistics processes and provide faster, more reliable delivery services to our customers," said Peter Lu, Co-founder and CEO of UniUni. "This partnership with GRS is another step forward in our commitment to operational excellence, harnessing robotics and automation to redefine the future of last-mile delivery." Through this partnership, UniUni will deploy GRS's 3D Sorting System and T-Sort Sorting System, enabling rapid processing of parcels with near-perfect accuracy. These systems incorporate AI-powered navigation, real-time sensor monitoring, and advanced sorting algorithms, ensuring seamless integration with UniUni's existing Warehouse Execution System (WES). "Collaboration between industry leaders is essential to drive innovation, efficiency, and customer satisfaction in last-mile delivery," said Jan Mueller, Chief Commercial Officer at GRS. "UniUni's decision to partner with GRS is a shining example of such cooperation and highlights the company's commitment to leveraging cutting-edge technology to optimize its operations and stay ahead in the competitive delivery industry." UniUni customers can expect faster deliveries, improved tracking accuracy, and a more seamless shipping experience as a result of these technological advancements. This partnership underscores UniUni's mission to optimize last-mile logistics and deliver exceptional service through smart automation. For more information about UniUni's technology-driven logistics offerings, visit About UniUni UniUni is a leading technology-enabled logistics company revolutionizing the last-mile delivery landscape for the e-commerce industry. As a platform that seamlessly integrates advanced technology with efficient delivery solutions, UniUni enables businesses to provide a superior online shopping experience, ensuring unparalleled efficiency and customer satisfaction. Catering to a diverse range of clients—from emerging e-commerce platforms to established online retailers and brands—UniUni offers exceptional service across North America. Recognized as the fourth fastest-growing company in Canada, UniUni continues to set industry standards, offering a robust, customer-centric approach to e-commerce logistics. For more information, visit Global Robotics Services Global Robotics Services (GRS) Limited, established in 2018 in London, UK, is a robotics technology company specializing in automated solutions for industrial and logistics sectors. Its core business encompasses the design, deployment, and maintenance of intelligent robotic systems, including industrial assembly line automation, warehouse logistics robots, and logistics information systems. The company leverages AI-driven machine learning algorithms and modular design technologies, enabling its robotic systems to adapt seamlessly to dynamic environments and flexibly expand functionalities.

YXT.com Cuts Loss By 59.9% In 2024 With AI, Approves $10M Share Repurchase Program
YXT.com Cuts Loss By 59.9% In 2024 With AI, Approves $10M Share Repurchase Program

Associated Press

time08-04-2025

  • Business
  • Associated Press

YXT.com Cuts Loss By 59.9% In 2024 With AI, Approves $10M Share Repurchase Program

DETROIT, MICHIGAN - April 8, 2025 ( NEWMEDIAWIRE) - Group Holding Limited (NASDAQ: YXT), the Chinese provider of AI-enabled enterprise productivity solutions, continued to narrow its loss for the full year in 2024, driven by its leverage of artificial intelligence. About two years ago, the company said it would shift its focus from creating digital learning platforms for corporations to creating intelligent learning platforms driven by AI, and that may be starting to pay off. Not only is it enabling to reduce costs and improve efficiencies within its own business, but the company said it's helping to expand its presence in the corporate learning market both domestically and abroad. 'Advancements in AI are creating significant opportunities for the corporate training industry,' said CEO Peter Lu when discussing full year 2024 earnings results with analysts and investors. 'AI technology is addressing key challenges in corporate learning. As a result our corporate learning solutions are gaining wider recognition.' Intelligent Corporate Learning Taking Off AI in the corporate learning market is taking off, forecast to reach $44.6 billion by 2028 driven by demand for upskilling and reskilling of global workforces. For good reasons. For starters, AI enables personalized learning experiences, acting as an 'invisible coach' for employees and providing round-the-clock learning support. For instance, before client meetings, AI can help employees practice through simulated conversations. While drafting proposals, it can automatically recommend exemplary cases. When someone is panicking and forgets their talking points, AI can instantly remind them of crucial information. This intelligent coaching, integrated into work processes, can enable learning to occur within real work scenarios, which says significantly enhances talent development efficiency. AI also helps companies more effectively share knowledge. Using AI technology, tacit knowledge from experts and meeting records can be automatically extracted and transformed into intelligent courses. This not only reduces knowledge loss but also efficiently promotes the accumulation and reuse of corporate knowledge assets, turning information into productivity. embedding AI into its platforms helps it facilitate the acquisition of new customers, improve retention rates among existing customers and increase cross-sales opportunities. With AI, is able to introduce new products, strengthen its market presence and expand its service offering within the evolving corporate training landscape, reports the company. AI's Impact On Earnings For the full year 2024, YXT reported its net loss narrowed 59.9% to RMB92.1 million ($12.6 million), from RMB229.8 million ($32.37 million) in the prior year thanks in part to AI. Meanwhile, gross margin for the year stood at 61.8%, compared with 54.1% in the prior year, representing an improvement of 7.7%. Revenue for full year 2024 came in at RMB331.2 million ($45.4 million), which was down 21.9% from RMB424.0 million ($59.72 million) in the prior year. If the deconsolidation of China Europe International Business School Publishing Group Limited or CEIBS PG occurred as of the beginning of 2022, the pro forma revenues would have been RMB327.9 million ($44.9 million) for the full year of 2024, compared with RMB324.6 million ($45.72 million) for the full year of 2023, representing an increase of 1.0%, reports The company says the net change of 139 subscription customers reflects its strategic shift toward large enterprise accounts with consistent demand for corporate learning solutions. This realignment resulted in a planned reduction of small and medium-sized customers from its portfolio. Net revenue retention rate for subscription customers was 100.9%, compared with 101.4% in the prior year, reported 'The rapid development of AI has created tremendous opportunities for our company, allowing us to successfully transform from digital learning to intelligent learning and expand our offerings into talent management. In 2024, our AI initiatives delivered tangible results in cost reduction and efficiency improvement, significantly narrowing our losses while enhancing value for both customers and shareholders,' said Lu. 'Our three new AI-powered business lines have already entered customer validation phase and will soon be brought to market, further expanding our business portfolio. As we execute our global expansion strategy this year, is positioned at the forefront of the AI-driven industry transformation, ready to create sustainable value for our customers and investors alike.' Looking Out To 2025 In conjunction with its earnings report, announced its board has authorized the company to adopt a share repurchase program in which it may buy back up to $10 million of its ordinary shares in the form of American depositary shares over a two-year period. The company plans to fund the share repurchases via existing cash on the balance sheet. Looking out to the full year 2025 says it's focused on continuing to grow in China as well as internationally. With what the company says is a 'healthy balance sheet' and 'solid' development strategy, is confident it's well positioned for the year. 'With a strong AI capability and global strategy, we are well positioned to create sustainable value, provide greater support to our customers and deliver returns to our investors,' said Lu. published on Benzinga.

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