According to the Zhitong Finance APP, with the widespread application of AI, intelligent sales forecasting has become a key factor in enterprise competitiveness. As the market continues to change and consumer demands become increasingly diverse, the accuracy requirements for sales forecasting are also rising. To achieve this goal, businesses need not only a deep understanding of Beijing Vastdata Technology but also strong data models and algorithm capabilities. Recently, DC HOLDINGS' Shenqi Digital collaborated with CHINA MOBILE's Yunnan branch to successfully develop a predictive modeling algorithm system for mobile business halls and product sales demand, allowing for rapid response to market demand changes and optimizing inventory management, thereby further improving customer satisfaction.

In traditional marketing models, due to the wide distribution of business halls, the volume of sales and inventory data that needs to be processed and analyzed is vast, involving multiple products and stores, making centralized management and analysis of sales data difficult. This leads to frequent occurrences of inventory backlog or shortages, with the accuracy of sales forecasting directly impacting sales volume, inventory costs, and customer satisfaction. Currently, the competition in the telecommunications market is fierce, with frequent market dynamics and promotional activities; the use of new modeling systems is necessary to quickly respond to these changes and provide decision support from multiple dimensions, including safety stock and stock-out warnings.

Based on its deep practical experience in the Big Data field and rich industry solution capabilities, Shenqi Digital has developed a complete set of sales demand forecasting systems by thoroughly integrating the business needs of the mobile terminal's Yunnan branch. By deeply analyzing vast historical sales and inventory data and using Shenqi Digital's algorithm technology, accurate product demand forecasting models are constructed to simulate market trends, enabling intelligent predictions of store-product demand. Additionally, this system can seamlessly integrate sales data of stores, provincial warehouse inventory and shipping, new product distribution, return demand, main data, and other information, breaking down data silos to optimize prediction parameters based on data correlation, thereby enhancing accuracy and reliability.

After recent usage, the overall accuracy indicators for 5 stores exceeded 80%; the overall predictive performance remained stable, with fluctuations of about 5% each week. Accurate sales demand forecasting improved terminal sales efficiency, reducing the replenishment cycle by 20% and increasing response speed by 30%. Meanwhile, refined management was achieved from the city-level specific stores to specific products at the model level, thus improving inventory turnover efficiency, lowering inventory costs, and automating processes saved significant labor, enhancing work efficiency. Furthermore, timely responses in market competition also improved customer satisfaction, leading to a win-win situation for all parties.

As a high-tech enterprise with profound accumulation in the field of data intelligence, Shenqi Digital is committed to continuously driving the full release of data value with a customer demand-oriented approach, providing 'Data to Cash' integrated Big Data services, and building the first brand of 'data integrators.' The company possesses the core technology of Yanyun DaaS, which has transformed results from the National Technology Invention Award (first prize), creating a complete set of data intelligence products suitable for various industry needs surrounding the resourceization, assetization, and capitalization of data throughout the entire process.

Sales forecasting is just the tip of the iceberg in data value applications. Through the accumulation, governance, analysis, and application of data, it will also provide decision support for enterprises' long-term strategic planning, forming more valuable data assets and innovating business models in the process, helping enterprises gain an edge in the age of intelligence. The sales demand forecasting model case developed by Shenqi Digital for the Yunnan branch of mobile terminals sets a new benchmark for innovation and development in the telecommunications industry, and it is hoped that this achievement will shine brightly in more industries in the future, creating greater social value.