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Ev Dynamics Explores “AI+” Green Mobility Model

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Zhongtong Kinetic Energy, a Subsidiary of the Group, to Focus on Battery Swapping for New Energy Heavy Trucks and Fixed-route Transportation

Advancing Intelligent Dispatching, Energy Replenishment Management and Transportation Carbon Emission Data Management

HONG KONG, Nov. 6, 2026 /PRNewswire/ — EV Dynamics (Holdings) Limited (the “Company”, stock code: 476.HK, together with its subsidiaries, the “Group”) is exploring an expansion from the supply of new energy commercial vehicles into comprehensive green mobility services. Using battery swapping for new energy heavy trucks and fixed-route transportation as entry points, the Group will integrate artificial intelligence-powered dispatching, energy replenishment management and transportation carbon emission data management to progressively validate the “Transport as a Service” (TaaS) model.

Zhongtong Kinetic Energy (Hangzhou) Technology Co., Ltd. (“Zhongtong Kinetic Energy”), the Group’s China operating headquarters platform and a wholly-owned subsidiary of the Group, will start with actual transportation demand, prioritising the study of fixed routes, stable cargo sources and high-frequency transportation scenarios. It will progressively establish a closed-loop operating model covering vehicles, energy replenishment, dispatching and operational evaluation, with vehicle utilisation rate, energy consumption per unit of transportation, energy replenishment efficiency, transportation costs and service stability serving as the key validation indicators.

In terms of artificial intelligence applications, the Group intends to explore functions such as intelligent route scheduling, energy replenishment planning, and operational and maintenance alerts based on transportation orders, driving routes, vehicle energy consumption, battery status and battery swapping station utilisation. These functions are intended to reduce empty running and waiting time, and improve the utilisation efficiency of vehicles and energy replenishment facilities. The relevant technologies will be progressively tested and iterated in conjunction with actual application scenarios, rather than remaining at the level of a standalone conceptual demonstration.

This direction is in line with the policy trend towards the large-scale application of new energy heavy trucks. In June 2026, the Ministry of Transport and ten other departments publicly issued the Implementation Plan for Promoting the Large-scale Application of New Energy Heavy Trucks (《推動新能源重卡規模化應用實施方案》), which proposed that, by 2030, the penetration rate of new energy heavy trucks should reach 40%, with the number of new energy heavy trucks in operation exceeding 1.6 million units, 30,000 kilometres of zero-carbon road transportation corridors to be constructed, and approximately 3,000 heavy truck charging and battery swapping stations to be supported and guided for construction.

Industry penetration has also continued to increase. According to terminal actual sales data under the compulsory traffic accident liability insurance for motor vehicles cited by First Commercial Vehicle Network, 33,100 new energy heavy trucks were sold in Mainland China in September 2026, representing a year-on-year increase of 37%, with the monthly penetration rate reaching 50.28%. These figures exclude exports and military vehicles, while the cumulative penetration rate for the period from January to September 2026 was 38.10%.

Mr. Zeng Yan, Chairman and Chief Executive Officer of Ev Dynamics, said: “We hope to start with actual transportation scenarios, first establishing vehicle operations, energy replenishment efficiency and dispatching management for fixed routes, and subsequently validate the transport service-based charging model. The value of artificial intelligence does not lie in introducing another concept, but in helping to reduce empty running and waiting time, improve the utilisation rates of vehicles and energy replenishment facilities, and provide customers with more efficient and quantifiable green transportation services.”

In terms of business models, the Group will explore an expansion from vehicle sales into battery swapping services, intelligent dispatching and mobility operations, and study transportation service arrangements charged by mileage or ton-kilometre, with a view to reducing customers’ initial capital investment and barriers to technology adoption, while seeking to progressively establish recurring revenue. The specific cooperation models will be determined according to route conditions, cargo source stability, energy replenishment requirements and project economic benefits.

In terms of carbon emission management, the Group intends to progressively establish the capabilities for digital recording, accounting and reporting of transportation mileage, energy consumption and emission reduction results, thereby providing data support for customers’ green supply chain management.

On 30 October 2026, the Group participated in the “The Oujiang Dialogue — AI Plus Integrated Innovation Development Forum” (「甌江論道——『人工智能+』融合創新發展論壇」) held in Wenzhou, Zhejiang Province, and entered into a strategic agreement with the International Academician Science and Technology Innovation Centre. Building on this agreement, both parties will explore the alignment of scientific research resources and industry-academia-research cooperation in the fields of artificial intelligence, new energy and intelligent connected vehicles. The Group also took this opportunity to exchange views with universities, research institutions and industry representatives on technology applications and the integration of technologies with practical application scenarios.

Regarding participation in the development of the Qidu Island Urban Intelligent Connected Vehicle Demonstration Zone, Mr. Zeng Yan proposed three directions: First, to prioritise the selection of actual fixed routes and establish an agile, iteratively upgradeable closed-loop operating model; Second, to explore joint operations and evaluation mechanisms with local partners, using operational efficiency, service safety and actual emission reduction results as the basis for evaluation; and Third, based on the validation of application scenarios in Mainland China, to explore opportunities to connect with Hong Kong’s resources in finance, professional services, standards and international markets.

Mr. Zeng Yan added: “Ev Dynamics hopes to become not merely a vehicle supplier, but also a participant in application scenarios and a co-builder of long-term operational mechanisms. The application scenarios and supply chain capabilities in Mainland China, combined with Hong Kong’s professional services and international connections, are expected to create favourable conditions for external cooperation in green mobility solutions.”

Looking ahead, the Group will adopt Academician Chen Qingquan’s “Four Networks and Four Flows” theory as a methodological guide for its green mobility system, exploring the coordination of the energy network, transportation network, information network and humanity network, and promoting the integration of energy flow, information flow, material flow and value flow. The Group will also put these concepts into practice across specific aspects such as vehicle dispatching, energy replenishment management and transportation services. Through Zhongtong Kinetic Energy, the Group will steadily advance the validation of application scenarios involving battery swapping for new energy heavy trucks, intelligent logistics dispatching and green mobility operations, while exploring industry-academia-research cooperation in technologies such as autonomous driving for specific transportation scenarios, including “Xinjiang Coal Outbound Transport”. The relevant businesses will be progressively advanced based on actual project progress and commercial feasibility.

About Ev Dynamics (Holdings) Limited

Guided by its mission to ‘revolutionise transportation’, Ev Dynamics is evolving from a pioneer in the global new energy commercial vehicle market into an integrated solution provider of ‘new energy transport vehicles + energy infrastructure’. The Group has supported electrification across multiple countries and cities worldwide. In addition to the development and production of electric vehicles, including electric buses and purpose-built electric vehicles, the Group has expanded into integrated e-Mobility Solutions, offering in the PRC a comprehensive ecosystem that combines vehicle supply, operations, and value-added services such as charging infrastructure deployment.

For more information, please visit: https://evdynamics.com/zh-hant/

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Muyuan Foods Group, a Global Leader in Pig Farming, to Showcase Smart Pig Farming and Green Development Solutions at EuroTier 2026

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HANOVER, Germany, Nov. 7, 2026 /PRNewswire/ — From November 10 to 13, Muyuan Foods Group (002714.SZ/02714.HK) will participate in EuroTier 2026 in Hanover, Germany. As a global leader in pig farming, Muyuan marketed 77.98 million pigs and slaughtered 28.66 million pigs in 2025. At Booth J04 in Hall 15, Muyuan will showcase integrated solutions across two key areas: Smart Pig Farming and Green Development.

Smart Pig Farming: This section will focus on pig house upgrades, biosecurity management, and intelligent equipment. Smart pig houses enable precise control of environmental parameters, while more than 30 types of intelligent equipment across five categories, including inspection robots and intelligent feeding systems, integrate key production operations into digital management systems. These solutions help improve operational efficiency, optimize costs, and drive the development of standardized and precision-driven farming practices.

Green Development: This section will feature solutions for environmental management, sterilization and deodorization, and renewable energy. Muyuan achieves 100% resource utilization of livestock manure, promoting the crop-livestock cycle and supporting a circular agricultural model. Sterilization and deodorization technologies continuously improve the farming environment, while renewable energy solutions contribute to carbon reduction and emissions mitigation. In 2025, Muyuan achieved carbon emission reductions of 6.06 million tons across its entire value chain, demonstrating its commitment to low-carbon and sustainable development.

Together, these two areas provide customers with a comprehensive, one-stop solution covering the entire pig farming process.

Throughout the exhibition, Muyuan’s international business team will provide multilingual technical presentations, one-on-one business consultations, and live demonstrations of intelligent equipment. Muyuan warmly welcomes industry professionals and partners from around the world to visit Booth J04 in Hall 15. Let us work together to advance the high-quality development of the global livestock industry and explore new opportunities for cooperation!

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SOURCE Muyuan Foods Group

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Home Companion Robot Mobo to Debut Globally and Open Pre-orders as AiMOGA Showcases Its Robot Family at the 2026 OMODA & JAECOO International User Summit

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WUHU, China, Nov. 7, 2026 /PRNewswire/ — As AI becomes part of everyday family life, how will it transform the homes of the future? The 2026 OMODA & JAECOO International User Summit, co-presented by CHERY, OMODA|JAECOO, ICAUR, Lepas and AiMOGA, took place in Wuhu from October 19 to 24 under the theme “DRIVE TO THE NEXT VIBE.” During the summit, AiMOGA Robotics officially launched Mobo—its consumer-grade humanoid robot for home companionship—and opened global pre-orders. The launch took embodied AI into the home, extending proven automotive-grade technologies and supply-chain capabilities beyond vehicle manufacturing to a broader ecosystem of intelligent living.

Meet Mobo: A Thoughtful, Expressive and Caring Companion. A key highlight of the summit, Mobo makes its global debut with pre-orders opening worldwide. Having previously appeared at the World Robot Conference and the World Manufacturing Convention, it has already drawn strong interest. Powered by AiMOGA’s proprietary MoAgent AI brain, Mobo goes beyond rigid single-command responses: it independently breaks down complex instructions and plans long-horizon tasks, turning Q&A into goal-driven assistance. Designed for family life, it combines spatial perception with multimodal interaction—autonomous navigation, dynamic obstacle avoidance, and voice-plus-vision conversation that identifies objects and makes companionship feel natural. With a full-body motion system of 22 degrees of freedom, it delivers smooth movements and dance routines, remembers each family member’s habits and preferences, and builds in privacy protection from the outset—a companion blending advanced technology with warmth and care.

Bringing Automotive Expertise to Robotics. Unlike start-ups building from scratch, AiMOGA draws on the extensive automotive engineering experience and global R&D network of CHERY and its brands—OMODA|JAECOO, ICAUR and Lepas—adapting proven technologies, including high-precision environmental perception and automotive-specific large AI models, for robotics. During the summit, its full robot portfolio will appear in zones recreating real-world applications: police robots patrolling mock traffic settings, healthcare robots guiding visitors, Mornine acting as an AI presenter, the Argos Pro quadruped demonstrating following and load carrying, and Mobo offering hands-on demonstrations as pre-orders open. AiMOGA already operates robots across more than 100 use cases—from dealerships and retail to traffic management, security, education and healthcare—with cumulative deliveries exceeding 3,000 units across more than 60 countries and regions.

Beyond Automotive Manufacturing. As these brands move from vehicles into robotics, they extend accumulated R&D, supply-chain and manufacturing expertise to wider intelligent applications; automotive–robotics integration provides the industrial foundation, while the MoAgent brain supports understanding, planning and execution. Guided by the philosophy “In Somewhere, For Somewhere, Be Somewhere,” CHERY, OMODA|JAECOO, ICAUR, Lepas and AiMOGA are bringing intelligent technology into everyday life and delivering meaningful support to people worldwide.

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CassTime Unveils AI-Driven “T+D Solution” to Tackle Data and Repair Bottlenecks in the Global Automotive Aftermarket

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LAS VEGAS, Nov. 6, 2026 /PRNewswire/ — At the recently concluded AAPEX 2026, more than 45,000 professionals from 128 countries and regions and over 2,500 exhibitors gathered in Las Vegas, a clear sign of sourcing demand across the global automotive aftermarket. At the same time, a long-standing industry challenge has become harder to ignore: as vehicle model counts keep climbing and model refresh cycles shorten, global repair networks are commonly facing difficulties in parts data matching, fragmented supply sources, low quotation efficiency, and insufficient repair technical capabilities.

In response to these bottlenecks, Li Li, CEO of International Business at CassTime, introduced an AI-driven “T+D Solution” at the 2026 CassTime Partner Conference. T refers to Digital Trade, which connects supply with overseas procurement demand through the CassChoice platform; D refers to an intelligent localized service platform, which uses PartGrid to bring parts matching, repair support, and insurance claims assessment capabilities to local markets. The solution has already been put into practical operation in markets such as Saudi Arabia.

Industry Bottlenecks: Data Matching and Repair Capability Are Global Challenges

Li Li noted that channel and market-access conditions vary significantly across regions: the Middle East has many new vehicle models and a growing number of supply channels; Brazil has a complex channel and market-access system; Central Asia’s supply channels are being restructured; and North America has mature certification and channel requirements for branded parts. The common challenges are concentrated in four areas: data matching, supply stability, quotation and delivery efficiency, and local repair service capability. Insufficient data leads to matching difficulties, fragmented demand leads to unstable supply, and local repair capabilities are difficult to build up quickly.

“After decades of development, the automotive aftermarket has formed a complete supply chain system, and CassTime has also built a digital system covering the entire value chain,” Li Li said. “We hope to translate proven digital practices into a holistic solution that can be implemented overseas, covering both parts and repair services.”

Li Li emphasized that China’s auto parts industry has been tempered through intense competition and has long built a comprehensive domestic supply chain. In particular, its parts SKU coverage for Chinese-brand vehicles is especially complete: Chinese vehicle models have a large installed base and rapid update and iteration cycles. Leveraging deep accumulation in the local market, CassTime has formed the industry’s most complete coverage in parts data, VIN decoding, and repair cases for Chinese-brand vehicles. This is also the foundation of the T+D Solution. Supported by this most complete Chinese-brand vehicle SKU database, wherever Chinese-brand vehicles go in the world, CassTime can bring along the parts supply and repair experience already proven in China, enabling overseas partners to share the best practices of China’s supply chain.

CassChoice: Digital Trade to Solve Supply-Demand Matching Challenges

In traditional procurement scenarios, when a customer submits demand for hundreds of thousands of SKUs, it usually requires manual order splitting, separate inquiries to multiple suppliers, quotation consolidation, and delivery in batches—a long and inefficient process. The CassChoice system can automatically break down demand, generate batch quotations, track order status, and output reports. The relevant data can also be used for demand tracking and analysis—a direct manifestation of using AI and digital tools to solve “difficult data matching and fragmented supply.”

According to CassTime, its overseas platform has accumulated more than 5 million SKUs—with particularly complete SKU data for Chinese-brand vehicles—and can generate quotes in seconds for more than 10,000 SKUs. On the supply side, CassChoice connects factories, brands, and distributors, helping overseas customers complete sourcing, procurement, and local delivery, and efficiently matching fragmented supply with fragmented demand on a digital platform.

PartGrid: AI Agents to Fill Local Repair Capability Gaps

To address matching challenges caused by the large number and rapid updates of vehicle models, PartGrid integrates CassTime’s VIN decoding system to help local partners achieve precise matching just as they would in China, reducing error rates. Multilingual communication is handled by AI, enabling barrier-free interaction. The platform can use formats such as WhatsApp Chatbot to connect with local users, adapting to the usage habits of small repair businesses and end users.

Beyond parts circulation, PartGrid also provides three AI agent service capabilities: an AI Repair Master, which synchronizes accumulated repair data and cases to local markets to help solve technical difficulties, especially overseas repair of Chinese vehicle models; an insurance claims assessment agent, which combines real-time fault analysis, parts matching information, and labor-hour estimation to support efficient implementation of insurance business; and an AI Seller, which provides accurate and timely quotations around the clock. Together, these three capabilities form a localized service loop of “parts + repair + insurance,” directly addressing the industry bottleneck of “repair capability falling behind.”

Saudi Arabia Case: Localized Operations Starting from Claims Scenarios

CassTime’s partner in Saudi Arabia is a Middle East technology company that manages insurance business. Its digital platform, Tamam, handles related business for nearly half of Saudi Arabia’s insurance companies. The two parties began their cooperation with online access in claims scenarios: through PartGrid, the partner’s platform connects local car owners, workshops, and the supply chain to enable digital tracking and management of the process; through CassChoice, it connects supply, opening up the parts value chain from source to end user.

On this basis, the cooperation has three expansion directions: extending application scenarios from claims to more end-user demand; as workshops adoption and business volume grow, more local suppliers join the platform; and upstream factories, brands, and distributors connecting to supply.

At present, CassTime has advanced implementation in the Middle East and is extending the mature model to Central Asia, South America, and other regions, accelerating the construction of a global parts service network. CassTime stated that it will continue to rely on AI and digital capabilities and work with local partners to jointly build a sustainable overseas service ecosystem.

About CassTime

CassTime Holding Co., Ltd. ( “CassTime”) is a leading digital intelligence platform for the automotive aftermarket in China. It is committed to building AI-enabled digital infrastructure for all participants across the automotive aftermarket value chain, driving the industry’s upgrade toward digital intelligence, standardization and efficient collaboration. The company focuses on auto parts trading, supply chain integration, digital intelligence management for workshops and end-consumer vehicle owner services. It has built a full-value-chain ecosystem covering upstream OEMs and auto parts manufacturers, auto parts distributors, auto service workshops and car owners.

Media Contact

Ben Chan
General Manager, North & South America
Email: ben.chen@casstime.com 
Phone: +86 186 6512 3710

Related Links

CassChoice – China Auto Parts, Direct Supply Worldwide

https://www.facebook.com/people/CassTime/61595799821591/

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