Faster quoting frees employees to focus more on reviewing customer requirements and improving proposal quality.

LG Innotek’s AI component recommendation system differentiates itself by offering a reference price feature that expands the search to include externally sourced data beyond internal records.

The system now cuts the time to generate new product quotations by more than 70%, improves proposal quality, and supports rapid sourcing when a component is discontinued or supply fluctuates.

The platform is deployed across all business units and earned the Customer Satisfaction Award at the 2026 LG Awards in April.

The Dream Factory for FC-BGA substrates is highlighted as an industry-leading smart factory, with the EXAONE Tabular AI model reducing AI learning time after process changes by about 85% and boosting AX collaboration across the group.

Plans include adding agentic AI to autonomously discover and analyze new component information and update the system, along with broader AI Transformation initiatives across operations.

The system cross-references internal purchase histories with external market data to allow users to compare components and prices, shortening the search to under two hours.

LG Innotek views the AI component recommendation system as an optimized program that streamlines workflows and enhances manufacturer value through AI transformation.

An in-house AX certification test has driven broad participation among staff and accelerated AX capability adoption.

A distinctive reference price function analyzes actual purchases and price trends to propose current price ranges with over 96% accuracy.

AI-based reference price estimation forecasts prices with reliability above 96%, enabling accurate quotations for both existing and new parts.

The AI system won a customer satisfaction prize at the 2026 LG Awards in April, and there are plans to add agentic AI to autonomously search for and incorporate the latest component information.