Recently, the Digital Intelligence Innovation Conference, themed "Intelligent Connection • Gathering Momentum • Leading the Way," was grandly held in Beijing. Hosted by DTinsight, the conference focused on the deep integration of digital intelligence innovation and industrial applications. Tongwei Co., Ltd. stood out with its innovative practical case in supply chain digital transformation, winning two significant honors: the "2025 Digital Intelligence Innovation Excellence Solution" and the "2025 Digital Intelligence Innovation Benchmark Case," establishing itself as a model for supply chain digital transformation.

Faced with growing supply chain risk management demands, traditional risk control models reliant on manual audits and fragmented data queries proved inefficient—labor-intensive, slow, limited in coverage, and sluggish in response—making them unsuitable for large-scale, precise, and real-time risk management needs. To address this challenge, the Supply Chain department and the Shares Information Department jointly developed the "Intelligent Risk Control Assistant." This solution deeply integrates big data risk control capabilities into the entire supplier management process, shifting the approach from passive reaction to proactive prevention. The core value of this innovation lies in the seamless integration of external data capabilities with the internal SRM system. Through the Intelligent Risk Control Assistant, it enables risk monitoring, rating assessment, and automatic early warnings throughout the supplier lifecycle, significantly enhancing the supply chain's risk resilience.

These awards recognize the phased achievements in Tongwei Co., Ltd.'s supply chain digitalization and endorse the digital innovation path of "scenario application + intelligent technology." Moving forward, the Supply Chain department will continue to deepen the empowerment of digitalization across business processes. Leveraging technologies such as big data analytics, AI, and RPA as core drivers, it will focus on practical business scenarios, address operational pain points, and build a modern supply chain that is stable, reliable, agile, efficient, and resilient, thereby achieving remarkable improvements in supply chain management efficiency.