Technical Collaboration Guide
AI Collaboration

Connecting Logistics Experience with AI Implementation

How GLT’s logistics and SCM expertise connects with Serendex’s AI technology, with clear roles and standards for publishing project references.

Illustration for Connecting Logistics Experience with AI Implementation
This is an explanatory image to help you understand the topic. It does not represent actual product screens or quantitative performance.
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We guide the direction of AI technology collaboration and the standards for role disclosure for each project.

GLT Korea pursues AI technology collaboration with Serendex based on its understanding of logistics and SCM sites and work systems. For AI to be applied to actual work, the meaning of data, operational constraints, user permissions, and verification criteria must be designed along with model technology.

What role does each company play?

collaboration subjectmain area
GLT KoreaBusiness process analysis, domain data modeling, system connection requirements, business scenario and result consistency review
SerendexAI core technologies and platforms such as AI agent, RAG, NL2SQL, and semantic layer
joint reviewProject scope, data use conditions, evaluation methods and operational transition plan

Specific responsibilities and delivered deliverables are determined according to the contract and division of work for each project.

What assignments can it be applied to?

  • Data agent that searches and interprets logistics and business data in natural language
  • Business support AI that answers with evidence from in-house documents
  • Pre-verification of survey using customer and employee virtual personas
  • Structuring and quality review of spatial information and image data

How do I disclose projects and achievements?

Distinguish between GLT's disclosed performance history, partners' disclosed examples, and descriptions of technology application methods. The entire history of a partner company is not indicated as GLT's sole performance, and numerical performance is provided within the scope of measurement conditions and verifiable data.

The scope of disclosure of customer names and detailed data is subject to contractual and security conditions. Explanatory flows and examples on the website are separated from actual operation screens and measurement results.

Public introduction of partners

Serendex Company IntroductionWow Introduction to public projectsYou can check out AI technology fields and cases here. This link is a public introduction to the partner company and does not prove the scope of GLT's individual contracts or inspections.

YOUR OPERATIONS / NEXT STEP

Where should we begin to review our company's logistics challenges?

Please let us know how you currently operate and what you would like to change. From business analysis to data, system, and field application scope, we organize them together.

Please choose a situation that is close to our company.

Having these materials will be helpful in your review.

  • Current work flow
  • Situation you want to improve
  • Systems in use and data readiness

Even if you don't have any data yet, you can tell us about your current situation. Information that is difficult to disclose may be reviewed as a sample with identifying information masked.

In consultation, the scope is set as follows.

  1. Check current work and improvement goals
  2. Summary of data/constraints and comparative verification scope
  3. Link to existing systems and discuss scope of construction
Consult on our company’s assignments Apply without registering and select system/size input
REFERENCESView Source / References ↗

Please check the guidance in the text for the scope covered by the material. The date of publication of the original text and the actual performance period are distinguished.

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