Supply chain data analysis helps enterprises break the ice

Pengsou Logistics Co., Ltd. has successfully helped a electronics manufacturing enterprise, Huaxiang Electronics, to solve operational problems and achieve a win-win situation by deeply applying supply chain data analysis.

Huaxiang Electronics specializes in manufacturing smartphone components with a diverse product portfolio, yet faces significant market volatility. The company previously grappled with supply chain management challenges, including inventory overstocking, stockouts, persistently high logistics costs, and declining customer satisfaction. Upon identifying these operational bottlenecks, Pengsou Logistics collaborated with Huaxiang Electronics to develop customized supply chain analytics solutions.

Pengsou Logistics first conducted a comprehensive data collection of Huaxiang Electronics' supply chain, including transaction, production, inventory, transportation, and market data. Through in-depth analysis, the company identified significant forecasting inaccuracies in demand predictions, leading to chaotic inventory management. Additionally, the irrational planning of transportation routes resulted in increased operational costs

To address demand forecasting challenges, Pengsou Logistics developed an accurate model by integrating time series analysis and machine learning with market data and historical sales records. This model enables precise prediction of market demand for various products, helping Huaxiang Electronics optimize production schedules and inventory management. For inventory optimization, the company implemented data-driven strategies based on forecast results, maintaining real-time monitoring to ensure sufficient stock levels while preventing overstocking.

To address transportation costs, Pengsou Logistics analyzed transportation data to re-plan routes and select more suitable modes of transport and partners. Meanwhile, through supply chain visualization technology, Huaxiang Electronics gained real-time visibility into cargo transportation status, thereby enhancing both efficiency and transparency.

To present analytical results more intuitively to Huaxiang Electronics' management, Pengsou Logistics utilized data visualization tools like Tableau and Power BI to transform complex data into clear and understandable charts and reports. Throughout the project, the company also applied graph neural networks and anomaly detection algorithms for supply chain risk assessment, enabling timely identification and resolution of potential issues.

After a period of implementation, Pengsou Logistics' solution has achieved remarkable results. Huaxiang Electronics saw a 30% increase in inventory turnover rate, a significant reduction in stockpiling, and a 20% decrease in stockout rate. Transportation costs were reduced by 15%, and logistics efficiency improved markedly. Customer satisfaction also saw a significant boost, leading to further expansion of market share.

Through this successful collaboration, Pengsou Logistics has demonstrated the powerful impact of supply chain data analytics in logistics operations. Going forward, the company will further enhance data analytics applications to provide high-quality supply chain solutions for more enterprises, driving the development of the logistics industry.