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Ladybug Resource Group Deploys Proprietary AI Digital Platform to Transform Global EV Supply Chain Efficiency

Ladybug Resource Group Inc. unveils an AI-driven digital manufacturing ecosystem through its newly acquired Guangzhou JingDiao assets, aiming to reduce inefficiencies in the non-standard industrial parts sector and accelerate EV supply chain turnaround times.

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Ladybug Resource Group Deploys Proprietary AI Digital Platform to Transform Global EV Supply Chain Efficiency

Ladybug Resource Group, Inc. (OTC ID: LBRG) today highlighted the technological foundation underlying its newly acquired manufacturing assets: a proprietary, AI-enhanced digital operating ecosystem designed to address longstanding inefficiencies in the non-standard industrial parts sector. While traditional precision manufacturing operations often face challenges related to scalability, workflow coordination, and labor oversight, the Company’s Guangzhou JingDiao assets operate through a self-developed Manufacturing Execution System (“MES”). This integrated digital platform serves as a centralized, real-time production interface that coordinates each stage of the manufacturing process - from initial 3D design and 5-axis CNC machining through final inspection and delivery.

Advancing Precision Through Data-Driven Manufacturing: The Company’s proprietary performance management system reflects a transition from conventional factory oversight to data-driven operational control. By utilizing localized algorithms to monitor worker productivity, machine utilization, and workflow efficiency in real time, JingDiao has been able to bring greater consistency, traceability, and process discipline to the highly customized non-standard manufacturing environment. Key features of the digital infrastructure include real-time visualization through a comprehensive digital dashboard enabling management to monitor project status, production milestones, and resource allocation across the manufacturing cycle via a centralized interface. Additionally, AI-enhanced machine vision has been commercialized for the packaging industry, generating gross margins of approximately 57% through advanced optical recognition technology that detects micro-defects at speeds beyond manual inspection capabilities. Accelerated lead times have been achieved by digitizing critical supply chain and production workflow elements, shortening production cycles for complex EV fixtures and related equipment to support the rapid turnaround requirements of high-growth manufacturing customers.

Strategic Moat and Scalable Platform: “We are not merely operating a factory; we are operating a digitally integrated industrial platform," said Mr. Shicai Li, CEO of the JingDiao assets. “The digital infrastructure we have built allows us to manage manufacturing complexity at scale. This software-enabled operating model has supported strong operational efficiency while serving demanding customers in the EV and industrial sectors. We believe this technology provides a scalable blueprint for the future of smart manufacturing."

Industrial AI as a Growth Opportunity: The Company’s expansion into Industrial AI represents an additional potential growth driver. The core components of its AI-based detection systems are achieving high precision and addressing an important need in the automated quality-control market. This cross-industry application highlights the portability of the Company’s technology and intellectual property beyond automotive manufacturing alone. For more information about the Company, visit its website or follow its OTC Markets stock quote.

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