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J&T Express Turns to Net Profit in H1 2024 China Market Turns Profitable for First Time

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Solidifies its leading position in Southeast Asia with rising market share, while its parcel volume growth in China outpaces the industry

HONG KONG, Aug. 20, 2024 /PRNewswire/ — J&T Global Express Limited (“J&T Express” or “J&T” or “the Company”, stock code: 01519), a global logistics service provider, announced its 2024 interim results for the first half of 2024 (“H1 2024” or “the Period”). In the first half of the year, J&T’s revenue reached US$4.86 billion, representing a year-over-year (“YoY”) increase of 20.6%. Revenue of its core business, express delivery services, reached US$4.74 billion, marking a YoY increase of 33.7%. Gross profit showed a YoY increase of 176.8% to US$540 million.

In H1 2024, all of J&T’s profit metrics swung to positive. The Company reported a net profit of US$31.026 million, a significant turnaround compared to the loss of US$670 million over the same period last year. Adjusted net profit was US$63.248 million, compared to a loss of US$260 million over the same period last year. Adjusted EBITDA soared by 795.6% to reach US$350 million. Adjusted EBIT also turned positive and reached US$120 million, underlining a healthy and sustainable level of profitability.

During the Period, J&T’s total parcel volume increased by 38.3% YoY to 11.01 billion. The business scale of all operating regions continued to expand, with parcel volume consistently achieving double-digit growth. In Southeast Asia (“SEA”), parcel volume increased by 42% YoY to 2.04 billion, raising its market share to 27.4%. In China, parcel volume grew by 37% to 8.84 billion. In newer markets such as Saudi Arabia and Mexico (“New Markets”), parcel volume surged approximately 64% to 140 million.

Dylan Tey, Chief Financial Officer of J&T Express, commented: “In the first half of 2024, J&T’s total revenue increased by over 20% YoY, primarily driven by the growth in express delivery services across 13 countries. With the business in China achieving profitability for the first time, the Company’s adjusted EBIT turned positive for the first time. We maintained a healthy and sustainable profitability in Southeast Asia. In New Markets, we achieved a significant increase in revenue and reduction of EBIT loss, driven primarily by strong parcel volume growth, as well as continuous management refinement and operational optimization.”

China’s parcel volume growth leads the industry; cost per parcel reduction drives adjusted EBIT to profitability for the first time

During the Period, J&T’s market share continued to rise, with a 37% YoY growth in parcel volume outpacing its peers. J&T’s market share, in terms of parcel volume in China, reached 11%, up 1.1 percentage points YoY. This was primarily driven by J&T seizing the growth opportunities brought by the rapid growth of social e-commerce and enhancing customer acquisition with cost-effective services. At the same time, J&T continued to explore its business development in China’s lower-tier markets, cooperating with a number of e-commerce platforms to undertake consolidation delivery business targeting at remote areas, thereby helping e-commerce vendors and e-commerce platforms to expand to areas that were originally difficult to reach.”

In the first half of the year, J&T revenue in the Chinese market was approximately US$3 billion, a year-on-year increase of about 36%. The adjusted EBITDA reached US$200 million, and the adjusted EBIT turned positive for the first time, reaching US$59.595 million. This is mainly due to the Company’s relatively stable revenue per parcel in the first half of the year, with the unit cost per parcel of express delivery continuing to decline. Specifically, the unit cost per parcel dropped by about 6% to US$0.32. Benefited from to the continuous implementation of refined management and operational optimization in each process in China, which has continually enhanced the strength and efficiency of our entire network.

Maintaining its lead in SEA for four consecutive years with growing market share; continually optimizing service quality

J&T’s full coverage and well-established logistics network in SEA, as well as its cost-effective services and strong customer relationships, have continued to serve as competitive advantages. As a result, the Company’s parcel volume in the region increased by 42% YoY. J&T’s market share reached 27.4%, up 2 percentage points compared to 2023.

In SEA, J&T continues to seize opportunities in the e-commerce market and actively develop non-e-commerce platform customers. The Company also benefits from both the overall rise in e-commerce volume and the emergence of social commerce, while maintaining a strong commitment to service quality. In H1 2024, the Company’s average parcel delivery time in SEA was shortened by 13.8% YoY.

In the first half of 2024, revenue of the Company’s SEA operations increased by 22% to US$1.52 billion, adjusted EBITDA grew by 13% to US$210 million, and adjusted EBIT grew by 46% YoY to reach US$130 million.

New Markets business maintained rapid growth and actively expands local e-commerce customer base

J&T continues to penetrate new markets, rapidly expanding its business scale. The volume of packages in J&T new markets is growing at a high speed. While maintaining close cooperation with Chinese cross-border e-commerce platforms, we are actively developing and maintaining good relationships with major local e-commerce platforms such as Noon in the Middle East and Salla in Saudi Arabia. At the same time, the demand for parcel services from individual customers and commercial organizations in new markets is increasing. To better serve this need, we have launched the J&T SPEED product in the Middle East.

In 1H 2024, revenue from new markets reached US$290 million, representing a near 1.2x YoY increase. This growth was fuelled primarily by a 64% YoY surge in regional parcel volume. During the Period, gross profit turned positive, reaching US$35.022 million, while the adjusted EBITDA loss narrowed significantly to US$7.84 million compared to the same period last year.

Continue to Enhance Service Experience: Solidifying the Path to Global Development

J&T is committed to providing customers with an enhanced logistics service experience by continuously building its own sorting centers, enhancing the efficiency of self-operated transportation fleets, and investing in automated equipment across various markets. As of 30 June 2024, the Company had approximately 8,000 network partners and around 19,900 outlets. The Company operated 237 sorting centers equipped with 254 automated sorting lines. Its transportation network comprised over 4,100 line-haul routes, utilizing more than 9,900 vehicles, including over 5,700 that were company-owned.

Fan Suzhou, Executive President of J&T Express, stated: “We achieved profitability for the first time during this financial period, laying a more solid foundation for the Company’s healthy and long-term development. Our strategic goal is to build an express delivery network that serves countries around the world, catering not only to international e-commerce platforms but also to local e-commerce and non-platform customers. This will enable us to establish long-term competitive advantages through a comprehensive network, cost-effective solutions, and excellent services. Looking ahead, we will closely monitor global market dynamics and carefully select the timing and methods for entering related markets. We firmly believe that through hard work and continuous innovation, we will better serve global customers and achieve J&T’s long-term growth objectives.”

About J&T Express

J&T Express is a global logistics service provider with leading express delivery businesses in China  and Southeast Asia, the largest and fastest-growing market in the world. Founded in 2015, J&T Express’ network spans thirteen countries, including Indonesia, Vietnam, Malaysia, the Philippines, Thailand, Cambodia, Singapore, China, Saudi Arabia, the UAE, Mexico, Brazil and Egypt. Adhering to its “customer-oriented and efficiency-based” mission, J&T Express is committed to providing customers with integrated logistics solutions through intelligent infrastructure and digital logistics network, as part of its global strategy to connect the world with greater efficiency and bring logistical benefits to all.

 

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SOURCE J&T EXPRESS

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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Video: CNPC offers green chemical answer

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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