TXGA General Manager Tian Ziliang launched the IEADOS system (Intelligent Enterprise AI Driven Operation System) in September 2026, which is an intelligent enterprise AI driven analysis and operation system. This system transcends the functional boundaries of ordinary digital tools and is an intelligent decision-making support carrier rooted in the entire business chain of enterprises. It is not just a system, but also a core support tool that can help enterprises move towards more scientific and efficient decision-making. It directly expands the digital boundary of TXGA's past focus on intelligent management of single factories to cover the entire business process scenario, which means that TXGA's digital intelligence construction has officially crossed the stage of single point tool implementation and entered a new milestone of "human led judgment and systematic intelligent deep support" for enterprise intelligent operation.
1、 From "data statistics" to "intelligent decision-making and operation system"
TXGA will launch its self-developed intelligent factory management system IFDMS in 2022, with the core goal of implementing intelligent factories and completing digital transformation of production processes. Relying on this system, TXGA has taken the lead in achieving a complete transformation from traditional experience management to standardized intelligent management on the manufacturing side, and has built a data foundation for the subsequent digital construction of enterprises on the production side.
The core capabilities of the first generation IFDMS were only focused on the smart factory scenario, solving the digital landing problem in the production and manufacturing process, and only covering basic functions for other business modules such as sales, products, finance, and personnel. With the continuous expansion of TXGA's business scale and the rapid increase in demand for multi-level refined management, there is a need for a comprehensive system covering the entire business chain to further support the deep needs of cross departmental collaboration and multi-dimensional business decision-making. IEADOS was born on the solid digital foundation laid by IFDMS.
IEADOS， It is a complete enterprise operation system built with full chain data intelligence as its core: the system positioning has been fully upgraded from a "factory digital statistical tool" to an "enterprise operation analysis and operation tool", with overall decision-making efficiency more efficient, full process management more standardized, and business scenario coverage more comprehensive, directly supporting TXGA from single digital factory operation, ushering in a new stage of enterprise intelligent decision-making management.
2、 IEADOS: Intelligent driven analysis and operation carrier, not a substitute for human decision-making subject
The design logic of IEADOS system is not to replace humans with AI, nor will it weaken the core judgment value of humans. Although TXGA's IEADOS system is driven by intelligent analysis as its core, it fundamentally breaks away from the technical logic of "replacing people": it is not an automatic decision-making system that replaces managers, nor is it an automated tool that replaces frontline executors, but an intelligent analysis carrier for enterprise management.
The entire system integrates business data from sales, delivery, products, finance, and personnel across all dimensions. Through intelligent analysis and trend prediction of enterprise operating data, it assists managers and frontline executives at different levels in identifying business risks and optimizing resource allocation in advance. While retaining the ultimate decision-making power of individuals, it significantly improves the efficiency and accuracy of enterprise decision-making.
3、 People at the center, intelligent systems support at the back
The five subsystems of IEADOS have always been built around the underlying logic of "people are the decision-making core, and the system provides capability support". Each subsystem is not a general set of functions, but is decomposed into clear secondary sub tool levels under a unified data base. It not only independently covers the corresponding business scenarios, but also achieves deep collaboration, allowing practitioners in different positions to obtain targeted digital capabilities, completely avoiding the problems of system vagueness and unclear implementation.
（1） IEHMS Intelligent Enterprise Human Resources and Administrative Management System
TXGA aligns with the mainstream human resources management standards in the industry, using the HCM human capital management system as the core carrier, to create a full cycle digital human resources management system. It deeply parallel the rank system with the scientific salary system, and provides employees with a clear and accessible career promotion path. It accurately matches salary with job level, actual contribution, and industry market value, achieving a two-way balance between incentives and constraints, and activating team intrinsic motivation from the root.
The system uses objective and quantifiable performance evaluation results as the core basis for job level and salary adjustments, and supports diverse incentive forms to cover the needs of employees at different stages of growth. By relying on the digital files and job competency labels of employees throughout the entire process, we can accurately identify the characteristics and potential of different employees, achieve precise matching between people and positions, not only allowing outstanding talents to be quickly seen and obtain suitable growth opportunities, but also continuously attracting new and adaptable forces for the enterprise, transforming employee growth into a sustainable human asset for the enterprise, and providing solid data support for management's talent strategy decision-making.
（2） IEPMS Intelligent Enterprise Product Management System
TXGA is a core digital management system designed for the entire product lifecycle, supported by the PLM product lifecycle management system. It covers the entire process from ideation to delisting with a closed-loop architecture. Through a dual path collaborative model, it thoroughly connects the information silos in each link, allowing real-time traceability of the product lifecycle status. It provides accurate product health and market dynamic data support for decision-makers, achieving efficient risk control and scientific decision-making.
This system can flexibly adapt to different types of R&D projects, achieve refined control throughout the entire process, break down cross departmental collaboration barriers, and be equipped with intelligent risk warning mechanisms. While ensuring the steady progress of projects, it simultaneously achieves dual improvements in R&D efficiency and achievement quality. At the same time, a standardized product data management system is established to strengthen the data security defense line, combined with CAD/CAE/CAPP R&D toolsets to build an efficient shared and reusable library across departments and projects, greatly reducing repetitive labor and accelerating the pace of new product launches. Through the accumulation of product knowledge base, the inheritance of technical experience is completed, injecting stable power into the continuous iteration and innovation of products.
（3） IESMS Intelligent Enterprise Sales Management System
To build a complete operational system covering both marketing and direct sales for TXGA, it is internally broken down into three sub tools: a CRM customer relationship management system for the entire sales team and an F2C official website business system, as well as an MA marketing automation/CRM marketing module for the marketing department. Connecting the complete business chain from advertising costs to full cycle customer tracking, from digital marketing to direct sales into orders, achieving the dual line data splitting and unified aggregation of online advertising leads and offline visits into orders, completely connecting the unified data caliber of the marketing department and sales department, solving the core pain points of traditional reports only focusing on sales revenue, unable to identify ineffective consumption of marketing resources, inability to convert leads, and long-term repurchase rate decline, allowing decision-makers to see the real returns of market investment at a glance.
This system is equipped with a full process growth and operation loop, including indicator definition, real-time tracking, abnormal intervention, problem escalation, and output reports. While ensuring current revenue assessment, it is also possible to predict long-term customer retention and sustainable growth capabilities, achieving a balance between short-term performance sprints and long-term business health.
（4） IFDMS Intelligent Factory Digital Delivery Management System
With APS advanced planning and scheduling as the core, multiple department specific subsystems are connected to form a complete delivery matrix: PMC department relies on APS to achieve optimal allocation of production resources, production department implements transparent control of the entire workshop process through MES manufacturing execution system, quality department completes full chain inspection and traceability through QMS quality management system, engineering department uses MES/EMS engineering change full process traceability, warehouse department achieves precise inventory control through WMS warehouse management system, and procurement department connects upstream and downstream collaborative links through SRM supplier relationship management system.
The system thoroughly solves the pain points of extensive planning and imbalanced scheduling in traditional production through dual path parallel design, connects real-time data links from multiple departments, and ensures the stability of production planning while also considering scheduling flexibility. At the same time, the SCADA data acquisition system is integrated to monitor the real-time operation status of equipment, and the EAM equipment asset management system is used to achieve digital management of the entire life cycle of equipment. Then, the BI business intelligence analysis platform is used to integrate the full chain operation data to support accurate decision-making by the management, and to comprehensively build an efficient and controllable intelligent factory digital delivery system, promoting the comprehensive standardization of production processes, cost reduction, and efficiency improvement.
（5） IEFMS Intelligent Enterprise Financial Management System
Using ERP enterprise resource planning as the core carrier, deeply integrating financial accounting and management accounting modules, completely breaking down the information barriers between finance and business under traditional models, achieving real-time sharing of multi-dimensional resource data, seamless process connection, and fundamentally solving the pain points of lagging financial data and inefficient cross departmental collaboration.
The system relies on the deep empowerment model of financial BP, allowing financial capabilities to sink to the front line of business. Combined with an electronic file management system, it covers daily expense control and digital retention of files, providing real-time decision-making support for business departments from cost control, profit decomposition to risk avoidance in all dimensions. At the same time, by integrating historical business data with market trends, a forward-looking financial model can be built to accurately predict sales performance, cash flow, and profit trends, providing data basis for enterprise strategic layout. On this basis, the system implements full chain cost collection, supports customized accounting rules to accurately split costs at batch and item levels, and uses a multidimensional profit analysis model to guide the business side to focus on high-value outputs. At the same time, through real-time financial risk warning mechanisms, potential risks such as cash flow shortages and bad debts are identified in advance, ensuring the stable operation and continuous optimization of profits of the enterprise in all aspects.
4、 From Implementation to System Growth: The Long term Value Transition of TXGA Digitalization
After the implementation of the IEADOS system, it will bring systematic and deep benefits to TXGA's daily business management. As early as the IFDMS system stage in 2022, TXGA had already completed the infrastructure construction of cross departmental data exchange and business collaboration. The core value of IEADOS is no longer limited to the basic level of breaking down data barriers, but through intelligent deep analysis of past business rules, it directly points to the feasibility verification and pre prediction of specific work decisions, allowing every business action to receive decision support at the data level, greatly reducing the trial and error and operational losses of enterprises.
At this point, TXGA has completed a complete management logic upgrade from basic data precipitation to intelligent driven decision-making and operation, promoting the comprehensive shift of enterprise management mode from "post review and rectification" to "pre prediction optimization", truly building a modern decision-making and operation system led by people and assisted by intelligence; As a completely independent and original intangible asset of TXGA, the entire system is deeply adapted to the connector industry and the business characteristics of the enterprise itself, and can continue to iterate with business growth, providing irreplaceable digital core competitiveness support for the long-term development of the enterprise.
5、 Becoming a reusable and referenceable digital paradigm in the manufacturing industry
This IEADOS system, which is completely polished by TXGA based on its own connector industry management practices, not only serves as a management tool within TXGA, but also represents a new approach to the digital upgrading of the electronic manufacturing industry: it does not pursue a universal "high-end" technology concept that deviates from industry characteristics, but always builds a capability framework around the real work pain points of practitioners in different positions, making intelligence a practical decision-making assistant for managers and frontline employees.
The IEADOS system is rooted in the industry practice of the connector industry, covering a full range of real operational scenarios including personnel, products, sales, delivery, and finance, without any suspended design that is detached from the actual industry. With the continuous iteration of the system and the accumulation of cross scenario practice, this driving operation system of "human centered, intelligent tool supported" is expected to become a reusable and referenceable digital paradigm in the entire manufacturing field in the future, outputting practical experience from the front line of the industry for the digital transformation of the entire industry and empowering the high-quality development of the entire industry.
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