Case study

Manufacturing AI Assistant

How an Artificial Intelligence system revolutionized customer service and internal know-how sharing

Client: Industrial Manufacturer

The Project

The Manufacturing AI Assistant is an advanced solution that integrates artificial intelligence to provide continuous technical assistance and immediate access to the company's knowledge base.

Developed for a manufacturing company that produces industrial plants, the system responds in real time to technical requests from both end customers and internal technicians.

The primary goal is to improve customer experience and optimize internal processes through an advanced virtual assistant capable of understanding complex technical requests.

Challenges

Context and Challenge

The Client

A manufacturing company that produces industrial plants, operating internationally with a wide customer base. It owns a significant volume of technical documentation and internal communications.

The Needs

Strengthen 24/7 customer support with fast and accurate responses, improve knowledge sharing among internal technicians, and provide a single access point to documentation and request history.

The company needed to centralize and make its knowledge base easily accessible, while improving technical support to customers and information sharing among internal technicians.

Goals

Goals and Requirements

Main Goal

Build an advanced virtual assistant capable of understanding technical requests and providing precise solutions or guidance.

Integration

Integration with the client's IT infrastructure (document databases, chat repositories, etc.).

Security and Privacy

Data protection with differentiated access controls for customers and internal technicians.

Intuitive Interface

Chat frontend accessible from various devices (PC, tablet, smartphone).

AI solution

Red Lynx's Solution

We developed an AI system based on the latest-generation LLMs, capable of understanding and answering complex technical questions.

AI Architecture

Based on latest-generation LLMs, connected to a dynamic knowledge base with always up-to-date data.

Semantic Search

Understands natural language and responds with information extracted from various sources.

Chat Support

Chat interaction for end customers and internal technicians, offering fault diagnostics and maintenance guides.

Continuous Learning

Every new interaction enriches the system, improving future performance.

The system seamlessly integrates artificial intelligence with existing corporate databases, providing a complete solution that improves both customer experience and internal efficiency.

Features

Distinctive Aspects of the Project

Personalized Approach

Custom-built solution, designed around the client's specific needs.

Security Focus

Multi-level authentication systems and encryption of sensitive data.

Training and Change Management

Client support with dedicated training and internal AI adoption strategies.

Results

Results and Benefits

Implementing this system delivered significant improvements both in customer experience and in the company's internal efficiency.

The results show a notable improvement in support service quality, with positive customer feedback and increased productivity for internal technicians.

The added value for the client manifests as improved customer experience, optimized internal processes and consolidated company know-how.

Faster Response Times

24/7 support significantly cut waiting times, improving customer satisfaction.

Efficient Internal Support

Technicians quickly retrieve procedures and solutions, reducing search time and error margins.

Better Know-How Sharing

The system acts as a "living" digital archive, fostering knowledge transfer between senior and junior staff.

Thanks to deep AI expertise and the ability to deliver custom end-to-end solutions, Red Lynx provided a strategic approach covering every phase, from initial analysis to post-launch support.

Case studies