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Challenges of Enterprise Knowledge Management

Challenges of Enterprise Knowledge Management

1

Scattered Knowledge

Enterprise data comes from many sources and knowledge is siloed; answers from different channels contradict each other; knowledge maintenance costs are high.

2

Inefficient Search

Weak search functionality that relies on manual lookup; enterprise knowledge is hard to accumulate and leverage; lacking scenario-based applications.

3

Lack of Review

Knowledge is updated late with no timeliness checks; data leaks occur due to unauthorized access; management of internal and external knowledge bases is chaotic.

4

Poor Multilingual Adaptation

Lack of knowledge bases for global minor languages; low translation quality, with rigid and inaccurate content.

How to Build an Enterprise-Grade Large Model Knowledge Base?

1

Build a unified, omnichannel knowledge base

2

Build full-scenario customer service applications based on the knowledge base

3

Build a complete compliance review mechanism

4

Provide multilingual knowledge base capabilities

How to Build a Large Model Knowledge Base

Udesk Large Model Solution

An end-to-end knowledge management platform designed specifically for the needs of modern enterprises.

Functional Architecture of the Large Model Knowledge Base Product
Enterprise Knowledge Management Flow

Product Advantages

Standout features that set Udesk’s large model knowledge base apart from other solutions.

📡

Multimodal Knowledge Access

Supports a variety of file formats and access methods to build a knowledge base quickly.

🗂️

Multidimensional Knowledge Organization

Granular knowledge access permissions, flexibly adaptable to a variety of knowledge application scenarios.

Powerful Knowledge Processing

Improve document parsing accuracy by understanding images and text simultaneously.

🤖

Large Model Human-Machine Interaction

Connect to the intelligent agent platform to make knowledge applications smarter and more responsive.

🌍

Multilingual and Globalization

Support multiple languages and serve enterprises’ global needs with high translation accuracy.

🔒

More Secure Data and Content

Comprehensive security mechanisms that prevent data leaks and enterprise compliance risks.

Three Application Scenarios of the Large Model Knowledge Base

Tailored solutions for every role in your customer service ecosystem.

Customers / Distributors

🎯 Goal

Improve self-service capability and satisfaction, and reduce reliance on manual channels.

Problems Solved
Information is hard to access — now it can be answered directly by an AI chatbot 24/7.
Information is fragmented and inaccurate — a centralized knowledge base ensures consistent answers.
Low bot response rate — the large model improves context understanding and response accuracy.
Customers / Distributors Scenario

Customer Service Agents

🎯 Goal

Become the agents’ “super external brain,” improving response speed and resolution rate while reducing work pressure and training costs.

Problems Solved
Heavy burden of memorizing and searching for knowledge — real-time AI recommendations exactly when needed.
High training costs for new hires and a long learning curve — instant access to the entire enterprise knowledge base.
Repetitive, tedious work with low sense of value — automate routine tasks and focus on high-value interactions.
Customer Service Agents Scenario

Knowledge Operations Staff

🎯 Goal

Achieve intelligent, closed-loop knowledge lifecycle management—shifting from passive maintenance to active optimization, and from “focusing on building” to “focusing on operations.”

Problems Solved
Knowledge accumulation relies on manual work and is easily forgotten or delayed — automatic updates in less than 24 hours.
Knowledge quality and effectiveness are hard to measure — a comprehensive analytics dashboard with knowledge performance metrics.
Low efficiency in knowledge flow — automated workflows from knowledge production to distribution.
Knowledge Operations Staff Scenario

Customer Cases

Leading enterprises that have successfully enhanced their services with Udesk’s large model knowledge base.

Large Gas Company

One of the largest energy supply service companies in China

Results Achieved - Large Gas Company
🏭 Energy & Gas

Intelligent application of the knowledge base in customer service scenarios, achieving knowledge sharing and reuse across departments. This large state-owned gas company chose Udesk’s large model knowledge base and built a knowledge operations management workflow from scratch, reducing knowledge update time to less than 24 hours. It helped raise the customer service bot interception rate from 40% to 80% and cut repetitive knowledge production workload by 40%.

Multinational Electrical Equipment Company

A global electrical automation company, one of the Fortune 500

Capabilities Enabled - Electrical Equipment Company
🌍 Global Manufacturing

With the large model knowledge base at its core, build full-scenario customer service applications. This multinational electrical equipment company uses Udesk’s large model knowledge base—from knowledge production and knowledge processing to knowledge application—to achieve comprehensive closed-loop enterprise knowledge management. Its powerful knowledge processing capability understands the “relationship between images and text,” improving answer accuracy and the rate at which images are shown in each answer.

Ready to Upgrade Your Enterprise Knowledge Management?

Join the hundreds of enterprises that have used Udesk’s large model knowledge base to create smarter customer service.

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