Malaysia’s leading transportation and logistics companies are rapidly embracing artificial intelligence (AI) to improve efficiency, safety, and service quality. This report examines how Westports Holdings, MISC Berhad, MMC Corporation, Pos Malaysia, Swift Haulage, Tiong Nam Logistics, TASCO Berhad, GDEX Berhad, CJ Logistics Malaysia, and DHL Express Malaysia are using AI in their operations and what they are promoting about their AI capabilities.
Westports Holdings
Westports Holdings is Malaysia’s largest container port, handling over 10 million TEUs annually. The company has invested in digital technologies to enhance port operations and is exploring AI to further boost efficiency. Westports has implemented an AI-driven remote gate system (Remote Physical Check System) to automate container inspections, which improved accuracy and reduced the need for manual checks. This system, now augmented with AI-based damage detection, uses machine learning to identify container damage from video feeds, significantly reducing disputes and operational inefficiencies.
The company is also testing AI solutions for driver fatigue detection among its fleet of 600+ terminal tractors, partnering with a Korean firm to deploy AI algorithms that monitor driver behavior in real-time. Additionally, Westports has developed an in-house AI chatbot, DolphinGPT, which serves as an internal knowledge assistant for employees. This AI chatbot, powered by large language models, answers operational queries and policy questions in a friendly, human-like manner, aiming to improve internal communication and efficiency. Westports is actively piloting autonomous electric trucks – it currently operates two such trucks – to address the truck driver shortage and improve sustainability.
These initiatives are part of Westports’ broader digital transformation strategy, with AI at the forefront of enhancing port performance and safety.
MISC Berhad
MISC Berhad, a leading maritime transport company, has a fleet of over 120 vessels and is leveraging AI to drive efficiency, safety, and digital innovation. The company has partnered with Singapore’s Maritime and Port Authority (MPA) to explore AI applications in the maritime industry. Through this collaboration, MISC and MPA are working on technology trials and data exchanges for tankers using an AI-based Just-in-Time Planning and Coordination platform. This platform uses AI and machine learning to optimize ship scheduling, route planning, and operational coordination, helping MISC streamline its fleet management.
MISC is also investing in digital logistics and real-time vessel tracking solutions, which include AI-driven systems for crew management and predictive maintenance. By using AI to monitor crew performance and equipment health, MISC aims to improve safety and reduce downtime. In its sustainability initiatives, MISC emphasizes digitalization to support its net-zero goals; for example, it is developing an AI-powered energy management system to optimize fuel consumption and emissions across its fleet. The company is also exploring cybersecurity AI to protect its vast maritime operations from cyber threats, recognizing that digital transformation must be accompanied by robust AI-driven security measures.
Overall, MISC Berhad is promoting itself as a digital-first maritime company, highlighting its use of AI for smarter logistics, safer operations, and sustainable shipping.
MMC Corporation
MMC Corporation operates Malaysia’s second-largest port, Port of Tanjung Pelepas (PTP), which handles over 10 million TEUs annually. As part of its digital transformation, MMC has embarked on a major ERP modernization program across its ports (including PTP, Johor Port, Northport, Penang Port, and Tanjung Bruas Port) in partnership with global software provider Ramco Systems. This initiative includes integrating AI and machine learning capabilities into the new ERP system, enabling features like predictive alerts and intelligent chatbots to assist employees. The goal is to reduce human error, improve decision-making speed, and enhance overall port efficiency.
MMC has also partnered with NIZE, a digital transformation firm, to develop a comprehensive digital blueprint for its ports. Under this partnership, MMC is exploring advanced technologies such as digital twins (virtual replicas of ports) and AI-driven analytics to simulate and optimize port operations. For instance, digital twins combined with AI can help predict vessel arrivals, optimize berth allocation, and improve container handling processes. MMC is positioning itself as a leader in smart port technology, leveraging AI and digital solutions to ensure PTP remains competitive in the face of rising global trade demand.
The company’s focus on digital transformation, as evidenced by these collaborations, highlights its commitment to using AI for innovation in Malaysia’s ports.
Pos Malaysia
Pos Malaysia, the national postal and logistics service provider, has been at the forefront of digital innovation in Malaysia’s logistics sector. Recognizing the need to modernize its operations in the e-commerce era, Pos Malaysia has embraced AI to improve its delivery services. The company recently migrated over 60 critical applications (including parcel tracking and retail POS systems) from on-premises infrastructure to the AWS cloud. This cloud migration has enabled Pos Malaysia to leverage advanced AI and analytics capabilities. For example, Pos Malaysia is using Amazon SageMaker’s machine learning to develop predictive models that forecast postal service demand. These models help optimize delivery vehicle routes and staff deployment, ensuring efficient service during peak periods.
Pos Malaysia has also deployed an AI-driven ETA (Estimated Time of Arrival) system to provide customers with accurate delivery time estimates. By analyzing historical delivery data and real-time factors (traffic, weather), this AI system improves delivery accuracy and customer satisfaction. In addition, Pos Malaysia is investing in electrification of its fleet and telematics, using AI-powered data to monitor vehicle performance and driver behavior. This not only enhances operational efficiency but also supports sustainability goals.
Pos Malaysia’s adoption of AI extends to its customer service as well – for instance, it has an AI-driven chatbot (AskPos) to assist customers with inquiries, showcasing the company’s commitment to providing AI-powered customer support in its digital transformation journey.
Swift Haulage
Swift Haulage is one of Malaysia’s largest trucking and logistics companies, operating a fleet of over 1,500 prime movers and 6,000 trailers. The company has embraced technology to improve safety and efficiency in its operations, with AI playing a key role in its Safety and Sustainability initiatives. Swift Haulage has partnered with Doric Technology Solutions to deploy an AI-powered fleet management system across its nationwide fleet of trucks. This system includes advanced GPS tracking, fuel monitoring, and AI cameras mounted in cabs that continuously monitor driver behavior. The AI cameras detect risky driving patterns such as speeding, tailgating, and fatigue, and issue real-time alerts to drivers and management. By using AI-driven analytics, Swift can calculate real-time vehicle risk levels and proactively address safety gaps. This technology not only improves road safety but also optimizes fuel consumption and vehicle maintenance.
In addition to safety, Swift is leveraging AI for route optimization and scheduling to ensure efficient delivery operations. The company is also exploring AI in its warehousing and logistics operations, as indicated by its collaboration with technology partners to introduce “cutting-edge smart logistics solutions”. For example, Swift’s partnership with Sharp Electronics involves implementing IoT and AI in warehouse operations to improve inventory management and order fulfillment.
Overall, Swift Haulage is promoting itself as a technology-driven logistics provider, highlighting its use of AI for safer, greener, and more efficient transport services.
Tiong Nam Logistics
Tiong Nam Logistics is a leading integrated logistics and warehousing company with a strong regional presence. The company has been proactive in adopting advanced technologies to enhance its operations. Tiong Nam has implemented automated storage and retrieval systems (AS/RS) in its warehouses to improve inventory handling and storage efficiency. These automated systems use robotics and AI to manage stock, reducing human error and increasing throughput.
Recognizing the growth of e-commerce, Tiong Nam has also developed e-commerce logistics solutions tailored to the needs of online retailers. In a significant move, Tiong Nam partnered with Huawei Malaysia to integrate AI and cloud capabilities into its warehousing and supply chain operations. Under this collaboration, Tiong Nam is deploying AI-driven analytics to optimize warehouse layout, inventory turnover, and order fulfillment processes. The AI systems will enable real-time monitoring of stock levels, demand forecasting, and dynamic routing of deliveries.
Additionally, Tiong Nam is leveraging Huawei’s cloud to build a centralized data platform for its logistics network, improving data visibility and decision-making across its operations. Tiong Nam’s adoption of AI is part of its strategy to stay competitive in the logistics market, particularly as e-commerce and supply chain complexity grow. The company is positioning itself as a smart logistics solutions provider, emphasizing its use of AI to drive efficiency and innovation in warehousing and transportation.
TASCO Berhad
TASCO Berhad is a leading integrated logistics and delivery solutions provider in Malaysia, offering services from air freight to contract logistics and trucking. TASCO has been at the forefront of adopting advanced technology to enhance its service offerings. The company operates a large cold chain capacity (approximately 56,000 pallet positions) and has implemented automated storage and retrieval systems in its warehouses to manage temperature-controlled inventory efficiently. These systems use AI and robotics to maintain optimal storage conditions and ensure quick order picking.
TASCO is also investing in AI-powered route optimization for its trucking and delivery operations. By leveraging machine learning algorithms, TASCO can optimize delivery routes in real-time, taking into account traffic conditions, delivery windows, and fuel costs. This not only reduces delivery times but also lowers operational costs. The company has developed a customer portal with predictive analytics that provides customers with real-time visibility into their shipments and predicted delivery times. This portal, powered by AI-driven analytics, helps customers plan their inventory and ensures they are notified of any delays or changes.
TASCO is also exploring warehouse automation robotics and smart packaging solutions to further improve its logistics processes. In fact, the company’s use of warehouse robots has increased productivity by about 40%. TASCO is promoting itself as a technology-driven logistics leader, highlighting its use of AI and automation to deliver high-quality, efficient logistics services to its clients.
GDEX Berhad
GDEX Berhad is a leading regional express delivery and logistics company in Malaysia, with a workforce of over 10,000 and a fleet of 6,000 vehicles. The company has been actively transforming its operations with technology, particularly AI and cybersecurity, to meet the evolving demands of the express logistics industry. In 2022, GDEX embarked on a major digital transformation strategy, focusing on becoming a “technology-driven company”.
A key aspect of this transformation is the adoption of AI-powered cybersecurity solutions. GDEX chose BlackBerry’s CylancePROTECT, an AI-driven endpoint security platform, to protect its network and customer data. This AI-based solution replaced traditional signature-based antivirus software, providing real-time threat detection and prevention across GDEX’s 6,000 vehicles and IT systems. By implementing Cylance, GDEX significantly reduced malware threats and alert fatigue, freeing up IT resources and improving network resilience. In 2023, GDEX was recognized for this strategic move by winning the “Best in Future of Trust” award for its AI-led cyber defense strategy. The company’s focus on AI extends to its delivery operations as well – GDEX is exploring AI for route optimization and predictive analytics to improve delivery efficiency and accuracy.
Additionally, GDEX has diversified into IT services and solutions, aiming to leverage its tech capabilities to offer value-added services to clients. Overall, GDEX Berhad is promoting itself as a digitally advanced logistics firm, highlighting its use of AI for both cybersecurity and operational efficiency in the express delivery sector.
CJ Logistics Malaysia
CJ Logistics Malaysia is a leading integrated logistics company that has embraced technology to stay at the forefront of the industry. As part of CJ Logistics’ global “Smart Logistics” strategy, the company in Malaysia has been implementing AI and robotics to improve warehouse operations and delivery processes. CJ Logistics operates an extensive network of warehouses and distribution centers, including a large e-commerce fulfillment center in Malaysia.
The company has deployed AI-driven computer vision and robotics in its warehouses to automate tasks such as order picking and inventory management. For example, CJ Logistics uses AI-powered robots and automated guided vehicles to efficiently move goods within warehouses, improving productivity and reducing manual labor. The company has also integrated AI into its supply chain planning systems, enabling predictive analytics for demand forecasting and inventory optimization. This helps CJ Logistics meet the high-volume demands of e-commerce while minimizing stockouts and overstock situations.
In addition to warehouse automation, CJ Logistics is exploring AI for last-mile delivery optimization. By analyzing real-time traffic data and delivery schedules, AI algorithms can suggest optimal routes for delivery drivers, thereby cutting down delivery times and fuel consumption. CJ Logistics has also been investing in autonomous vehicle and drone delivery research in partnership with other CJ Logistics affiliates, although these are still in the pilot stage.
Overall, CJ Logistics Malaysia is positioning itself as a technology-driven logistics innovator, emphasizing its use of AI and automation to enhance efficiency, accuracy, and customer satisfaction in its warehousing and delivery services.
DHL Express Malaysia
DHL Express Malaysia is the market leader in express parcel delivery in Malaysia, known for its extensive network and high service standards. DHL has been at the forefront of adopting cutting-edge technologies in the logistics sector, including AI, to maintain its competitive edge. In its operations, DHL uses AI-powered sorting robots in its hubs to automate the sorting of small parcels. These robots can handle over 1,000 parcels per hour, significantly speeding up the sorting process and reducing manual errors.
DHL also leverages AI-based predictive analytics in its logistics operations. For instance, DHL’s systems use machine learning to forecast demand, optimize inventory levels, and improve route planning. By analyzing historical data and real-time inputs, DHL can predict delivery times more accurately and adjust its routes to avoid congestion. This not only improves customer service (with more reliable delivery windows) but also reduces fuel consumption and operational costs. Another area where DHL is using AI is in customs clearance and trade compliance. DHL’s AI-powered platform provides an overview of trade agreements and estimated duties/taxes for shipments, helping businesses navigate international trade regulations more efficiently. This feature, launched in 2024, demonstrates DHL’s commitment to using AI to streamline complex processes for its customers.
DHL Express Malaysia also conducts events and workshops on AI in logistics, such as the “AI in Action” forum, to share insights with customers and industry partners. These initiatives underscore DHL’s role as a technology pioneer in logistics, promoting the benefits of AI for improved efficiency, reliability, and customer experience in the express delivery sector.
References
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- Swift Haulage Berhad Launches Eco-Friendly Warehouse …
- How CJ Logistics uses AI in supply chain operations.
- From digital twins to 5G to green energy, how Westports …
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- How Pos Malaysia is modernising their tech stack and …
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- GDEX Sees Transformation Plan Taking Off This Year.
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Please reach out to AnswerTeam for detailed reference information.