Kunnworks
B04AI & data

Internal logistics manual question-answering AI

A work-oriented AI service for answering questions from a logistics solution’s internal manuals.

Project scope
AI development
Technology & disciplines
PyTorch · LLM fine-tuning · Operational documents · Text question answering
Explore the features
Internal logistics manual question-answering AI
B04 / PROJECT COVERAI development
01 OVERVIEW

The challenge and approach

The design combines operational-document knowledge with text-based LLM fine-tuning, giving staff a question-led route to procedures and product-use information.

Original project visuals are presented in Korean, with English explanations alongside them.

02 FEATURES

The features, in context

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Manual knowledge preparation

Connect internal logistics manuals to the knowledge used in work-related answers.

Manual knowledge preparation — Connect internal logistics manuals to the knowledge used in work-related answers.
Manual knowledge preparationView full-size image (new tab)
02 / 03

Text-based questions

Let staff ask questions directly and navigate to relevant manual information through the conversation.

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Procedure-based answers

Use internal manuals to answer questions about operational procedures and solution usage.

Procedure-based answers — Use internal manuals to answer questions about operational procedures and solution usage.
Procedure-based answersView full-size image (new tab)
03 SCREENS & DESIGN

How the design comes together

Explore the project’s information structure, interface composition, and design decisions

Project detail board — Internal logistics manual question-answering AI
Project detail boardView full-size image (new tab)
04 WORKFLOW

Following the user’s next step

The flow connects entry points, user roles, and the next step in the work

Project workflow — Internal logistics manual question-answering AI
Project workflowView full-size image (new tab)