To accelerate deep collaboration between Taiwanese startup teams and large enterprises, the Innovation Incubation Center at Ming Chi University of Technology has specially invited Mr. Tang Hui-Kang, Senior Vice President of the Innovation Development Division at International Integrated Systems, Inc. (IISI), to serve as a mentoring advisor this year. With over 30 years of extensive experience in the ICT industry and system integration (SI), Mr. Tang personally provides hands-on guidance to the center’s incubated startup, Lingbo Co., Ltd., offering comprehensive support in both technical architecture upgrades and business model development. This strategic mentorship has successfully strengthened the team’s capability to compete for the Ministry of Economic Affairs’ SME and Startup Administration subsidy program in 2026.

Breaking Through Traditional Pain Points: From Single-Point IoT to Cross-Domain AI Supply Chains

With the support of the incubation center, the Lingbo team has already developed an NB-IoT liquid level sensor and an ERP scheduling system, effectively addressing the long-standing issue of “passive delivery requests” in traditional gas distribution businesses. However, as the team prepares to launch a major flagship project—“Taifeng Filling Plant: AI-Driven Sales Enablement and Cross-Domain Supply Chain Collaboration Transformation Project”—they face significant challenges in scaling from a single gas distributor to integrating upstream filling plants and midstream cylinder inspection facilities.

At this critical juncture, Mr. Tang brings the macro-level perspective of a leading system integrator along with advanced AI resources. Through intensive expert consultation sessions, he precisely identified the key breakthroughs needed for transformation and outlined two major upgrade pathways:

1. Integration of Large Language Models (LLMs) and Predictive Algorithms
He advised the team to go beyond their existing ERP framework by integrating IISI’s Web Genie (LLM) technology to enable a 24/7 intelligent LINE-based customer service and order management system. Additionally, by incorporating big data algorithms such as XGBoost and LSTM, the system can accurately predict gas consumption rates and automatically dispatch services before customers run out of gas, achieving a seamless and proactive service model.

2. Deep API Integration with AI Dispatching Modules
He further guided the team in integrating IoT sensing data with IISI’s AI dispatching modules (LeoQ + MCP) through cloud-based data transmission and API interfacing. This ensures that frontline gas service personnel can operate via a lightweight interface while achieving an outstanding KPI target of 99% planned dispatch efficiency.

Big Hands Guiding Small Hands: Co-Creating a New Digital Transformation Ecosystem

The Innovation Incubation Center at Ming Chi University of Technology remains committed to being a strong backbone for startup teams. This collaboration with Senior Vice President Tang exemplifies a successful “big hands guiding small hands” model and solidifies Lingbo’s strategic positioning as a consulting service provider in large-scale projects.

Looking ahead, the center will continue to connect with leading industry partners like IISI, bringing cutting-edge technologies such as Edge AI, hybrid cloud-edge computing, and big data analytics into its incubation ecosystem. Together with startup teams, it aims to inject powerful momentum into the digital transformation of Taiwan’s traditional industries.