Luda Technology Group Limited Implements AI-Enabled Multi-Agent Inquiry and Quotation System to Accelerate Order Processing

Luda Technology deploys an AI-based quotation system that sharply cuts processing time while keeping human oversight over commercial decisions.

Rhea-AI Summary

Luda Technology Group Limited (LUD) has implemented an AI-enabled multi-agent inquiry and quotation system to accelerate order processing and support its digital transformation strategy.

The system has reduced average quotation processing time from approximately 30 minutes to about 3 minutes, enabling faster responses to international stockists and the ability to handle higher inquiry volumes without a proportional increase in headcount. It parses incoming inquiries, searches validated internal data, and generates preliminary quotations for staff review. The platform builds client-specific profiles using approved historical interactions to improve product matching and quotation precision, aiming to enhance customer retention.

The system uses Moonshot AI’s Kimi K3 model with retrieval-augmented generation, intelligent data search, and rules-based pricing logic, and operates with human-in-the-loop oversight and a closed-loop learning mechanism that incorporates staff corrections to improve future accuracy.

Positive

• Quotation processing time cut from ~30 minutes to ~3 minutes per inquiry
• AI system designed to handle higher inquiry volumes without increasing headcount
• Client-specific profiles aim to improve quotation precision and customer retention
• Closed-loop learning uses staff corrections to improve future quotation accuracy

Negative

• None.

Market Context

LUD's pre-headline price change was 0.21%; the supplied market series predates the announcement, so ...

Analysis

LUD's pre-headline price change was 0.21%; the supplied market series predates the announcement, so it provides a baseline rather than a measured reaction to the AI implementation.

Key Figures

Quotation processing time: approximately 30 minutes to 3 minutes

Quotation processing time

approximately 30 minutes to 3 minutes

Following implementation of the AI-enabled inquiry and quotation system

Key Terms

multi-agent architecture, retrieval-augmented generation, human-in-the-loop, rules-based pricing logic

4 terms

multi-agent architecture technical

"incorporates a multi-agent architecture, retrieval-augmented generation"

A multi-agent architecture is a software design where many independent programs, called agents, work together like a team of specialists each handling different tasks — sensing situations, making decisions, and coordinating actions. For investors, it matters because this setup can speed up automation, improve resilience and decision quality, and enable complex services (trading, risk monitoring, diagnostics) to scale or fail more gracefully, which can affect costs, performance, and regulatory compliance.

retrieval-augmented generation technical

"multi-agent architecture, retrieval-augmented generation, intelligent data search"

An AI method that combines a conversational language system with live access to external documents or databases, so the AI first fetches relevant facts and then uses them to form its answer. Think of it as an assistant that checks a file cabinet for source papers before replying, which helps reduce mistakes and reveal evidence. For investors it matters because it can produce more accurate, verifiable summaries of filings, news and research, speeding due diligence while still depending on the quality of the underlying data.

human-in-the-loop technical

"operates under a human-in-the-loop framework"

Human-in-the-loop describes systems where people supervise, check, or make final decisions on work performed by automated tools or algorithms. Like a pilot overseeing an autopilot, humans step in to catch errors, interpret nuance, and apply judgment that machines may miss. For investors, this matters because human oversight can reduce operational and regulatory risk, improve decision quality, and increase trust in results produced by automated systems.

rules-based pricing logic technical

"intelligent data search, and rules-based pricing logic"

A set of prewritten, automated instructions that determine how a price is set or adjusted based on specific inputs and conditions, such as market quotes, volume, time, inventory limits, or regulatory constraints. Like a recipe that always follows the same steps, it makes pricing predictable and reproducible; investors care because it affects trade execution, displayed bid/ask levels, liquidity and how quickly prices respond to market changes.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Hong Kong, Sept. 08, 2026 (GLOBE NEWSWIRE) -- Luda Technology Group Limited (NYSE American: LUD) (the "Company" or "Luda Technology"), a manufacturer and trader of stainless steel and carbon steel flanges and fittings products, today announced the implementation of an AI-enabled inquiry and quotation system, advancing the Company's digital transformation initiative and strategy to drive operational efficiency and scalable growth.

The new system has delivered an immediate and measurable productivity gain, reducing the average quotation processing time from approximately 30 minutes to 3 minutes. By accelerating routine quotation work, the system is designed to help the Company respond to international stockists faster, handle higher inquiry volumes without a corresponding increase in headcount, and direct experienced personnel toward technical review, customer engagement, and commercial decision-making to drive new sales opportunities.

Previously, quotations required the Company’s staff to manually review customer inquiries, spreadsheets, and internal records to identify product specifications, item weights, and pricing inputs. The new AI system interprets incoming inquiries, searches validated internal data sources, and generates a preliminary quotation for review. The system also develops and maintains client-specific inquiry profiles based on approved historical interactions, enabling the system to recognize each client's usual inquiry format, commonly requested products, preferred standards, and customary units of measurement. This client-level personalization is designed to improve product matching and quotation precision to drive customer retention.

The system operates under a human-in-the-loop framework that preserves commercial and technical oversight. Every preliminary quotation is checked and confirmed by authorized Company personnel before release, preserving commercial and technical oversight. The system also features a controlled, closed-loop learning mechanism whereby approved corrections made by staff to preliminary quotations are captured and used to improve the accuracy of future quotations. It applies that feedback to similar future inquiries, progressively reducing errors and compounding the system's accuracy over time. The system is powered by Moonshot AI’s Kimi's K3 model, and  incorporates a multi-agent architecture, retrieval-augmented generation, intelligent data search, and rules-based pricing logic.

Management Commentary

Mr. Ma Biu, Chief Executive Officer of Luda Technology, commented, "This system marks the beginning of AI integration within our operations and demonstrates our effort to use leading technology to improve operational efficiency. Building on this foundation, we are targeting the progressive scaling of AI infrastructure across the Company and extending intelligent automation to additional business functions. By combining AI with our established product knowledge and more than two decades of commercial experience, we aim to build a faster, more accurate, and scalable business."

About Luda Technology Group Limited

Luda Technology Group Limited is a manufacturer and trader of stainless steel and carbon steel flanges and fittings products. The Company's history began with Luda Development Limited, which was incorporated in Hong Kong in 2004 and is principally engaged in the trading of steel flanges and fittings. In 2005, the Company expanded upstream by establishing Luda (Taian) Industrial Company Limited to manufacture flanges and fittings at its self-owned factory in China.

With an operating history of more than 20 years, the Company is principally engaged in: (i) the manufacture and sale of stainless steel and carbon steel flanges and fittings products; and (ii) the trading of steel pipes, valves and other steel tubing products. The Company is headquartered in Hong Kong and maintains its manufacturing base in Taian City, Shandong Province, China.

The Company's sales network includes customers across China, South America, Australia, Europe, Asia and North America. Its customers include manufacturers and traders serving the chemical, petrochemical, maritime, energy and general manufacturing industries.

For more information, please visit Luda Technology's official website at www.ludahk.com.

Forward-Looking Statements

Certain statements in this press release regarding future expectations, plans, business strategies and prospects, including statements concerning the anticipated benefits of the AI-enabled enquiry and quotation system, the scaling of AI infrastructure within the Company, potential integration of AI capabilities with other companies in the manufacturing industry, and the application of the system across other business processes, may constitute forward-looking statements within the meaning of applicable securities laws. Words such as "anticipate," "believe," "continue," "could," "estimate," "expect," "intend," "may," "plan," "potential," "project," "should," "target," "will" and similar expressions are intended to identify forward-looking statements. However, not all forward-looking statements contain these words. Actual results may differ materially from those expressed or implied by these forward-looking statements as a result of various risks and uncertainties, including market conditions, customer demand, project timelines, regulatory requirements, supply-chain conditions and other factors described in the Company's filings with the U.S. Securities and Exchange Commission. Readers are cautioned not to place undue reliance on these forward-looking statements. Any forward-looking statements contained in this press release speak only as of its date. Luda Technology Group Limited undertakes no obligation to update any forward-looking statement, except as required by applicable law.

Luda Technology Investor Relations

Email: ir@ludahk.com

FAQ

How does Luda Technology’s new AI-enabled quotation system work in practice?

The system interprets incoming customer inquiries, searches validated internal data sources for product specifications, item weights, and pricing inputs, and then generates a preliminary quotation. This draft is reviewed and confirmed by authorized personnel before being sent to the customer, maintaining commercial and technical oversight.

What personalization features are included in the new inquiry and quotation platform?

The system maintains client-specific inquiry profiles based on approved historical interactions. It can recognize each client’s usual inquiry format, commonly requested products, preferred standards, and customary units of measurement, which is designed to improve product matching and quotation precision and support customer retention.

Which AI technologies and architecture power Luda Technology’s new system?

The system is powered by Moonshot AI’s Kimi K3 model and incorporates a multi-agent architecture, retrieval-augmented generation, intelligent data search, and rules-based pricing logic.

How does the system improve over time while maintaining control?

The platform uses a controlled, closed-loop learning mechanism. Approved corrections that staff make to preliminary quotations are captured and applied to similar future inquiries, progressively reducing errors and compounding accuracy, while every quotation continues to require human approval.

How does this initiative fit into Luda Technology’s broader strategy?

Management describes this system as the beginning of AI integration within operations. Building on this foundation, the company aims to progressively scale AI infrastructure across the organization and extend intelligent automation to additional business functions to support a faster, more accurate, and scalable business.