Technology Innovation Drives Growth: How Tianjin Shengkai Pilot International Trade Uses AI to Optimize Supply Chain Management
Against the background of increasingly complex global trade environment and continuous improvement of customers' requirements for delivery timeliness and inventory accuracy, Tianjin Shengkai Pilot International Trade Co., Ltd. (Tianjin Shengkai Linghang International Trade Co., Ltd.) is using digital transformation as the engine to accelerate the in-depth application of artificial intelligence (AI) technology in the whole chain of supply chain. As a professional foreign trade enterprise that has been deeply engaged in import and export trade, cross-border logistics and bulk commodity supply chain services for more than ten years, Shengkai Pilot has systematically deployed intelligent order forecasting, AI-driven multimodal transport route optimization, dynamic inventory early warning and intelligent customs declaration assistance systems in recent years, which have significantly improved operational efficiency and customer responsiveness.
According to the company's technical cooperation manager, Shengkai Pilotage launched the "SKL-SupplyBrain" intelligent supply chain hub platform in 2023 with the leading AI logistics technology platform in the United Nations. The platform integrates ERP, TMS, customs single window and overseas warehouse IoT data, and uses ML models to model and analyze over 30 types of variables such as historical orders, shipping schedule fluctuations, exchange rate changes, and regional policy adjustments in real time. For example, in the export of rubber products to Southeast Asia, the system can predict the risk of customs clearance delays 14 days in advance, and automatically recommend alternative routes and localized distribution schemes, shortening the average delivery cycle by 22% and increasing the timeliness of abnormal order processing by 65%.
At the purchasing end, the AI algorithm combines the global commodity price index and supplier performance history to dynamically generate optimal purchase batches and safety stock suggestions. At the performance end, OCR + NLP technology realizes automatic identification and compliance verification of customs declaration documents. The processing time of single ticket documents is reduced from 8 minutes to 42 seconds on average, with an error rate of less than 0.03. In addition, the company has opened a dedicated supply chain data board for 27 core customers, supporting visual tracking of the whole process nodes from factory shipments, shipping in transit, port storage to end distribution, truly realizing "end-to-end transparency '.
noteworthy that Saint Kay does not see AI as a tool to replace manpower, but rather as an 'enhanced collaborative partner '. The front-line salesman can access the AI assistant through the mobile terminal, which can instantly obtain the customer's historical preference, potential replenishment demand and competition dynamics, greatly improving the conversion rate of business opportunities. In the first half of 2024, the company's foreign trade orders increased by 31.6 year-on-year, of which the renewal rate of customers using intelligent supply chain services reached 94.2 percent, an increase of 18 percentage points over the traditional service model.
the future, Shengkai Pilotage plans to embed the large language model (LLM) capability into the customer service center, build a multilingual intelligent foreign trade consulting system, and explore a blockchain-based trusted supply chain traceability module to further consolidate its benchmark position in the field of foreign trade digital services in Beijing, Tianjin and Hebei. Technological innovation is not a multiple choice question, but a survival question-this has become the consensus of Shengkai's management and its core competitiveness to continue to win the trust of international customers.
