Clarify the work and knowledge.
Review the problem, existing systems, available documents and data, and operating constraints. Turn experience-based judgment into explicit business rules.
We connect the design and operating experience of logistics and SCM experts with AI technology. Starting with your business challenge, we define where AI can be useful in practice.
AI Value Link · A collaboration model connecting field knowledge and AI technology
The model connects experts who hold designs, source code and operating know-how with AI capabilities. GLT coordinates the customer challenge and integration, starting with the required scope and outcomes.

Original Korean concept diagram. See the English explanation on this page.
We assess feasibility from your business challenge. Timing and scope are defined after reviewing the work and available materials.
Review the problem, existing systems, available documents and data, and operating constraints. Turn experience-based judgment into explicit business rules.
Select a representative task and assess how AI can connect to existing systems. Define expected outcomes and human review criteria to evaluate feasibility.
Use validation results to define integration scope, responsibilities and operating conditions. Plan implementation and expansion for the customer environment.
Consider monitoring, settlement, transportation, delivery, warehouse processes and equipment interfaces within a customer challenge. Select the scope based on existing systems and project goals.
The diagram shows an architecture concept. Currently available capabilities and customer-specific implementation scope are explained separately during consultation.

Original Korean concept diagram. See the English explanation on this page.
We are developing a model in which partners with experience in process design, systems and algorithms, operations and equipment integration work together on customer challenges.
Discuss expert or partner participation ↗IP usage, contribution assessment, compensation and other participation terms are discussed during consultation.
It is a collaboration model connecting expert domain knowledge and AI technology to customer challenges. The proposed architecture is distinct from currently available individual solutions. Actual adoption depends on the challenge and validation results.
Describe the work you want to improve, existing systems, available documents and data, and expected outcomes. These help us discuss a suitable scope.
AI Value Link describes collaboration connecting experts, knowledge and technology to customer challenges. Refer to each solution page for current capabilities and availability; integration is determined for each project.
Tell us about the work you want to improve and its constraints.
We will explore an approach grounded in logistics and SCM experience.