SF Express Launches Large Language Model for the Logistics Industry, Achieving Summary Accuracy of 95%+

What is the Fengyu Big Model?

Fengyu Big Model is a large-scale language model specifically designed for the logistics industry, launched by SF Technology. SF Technology states that Fengyu Big Model, with its smaller size, comprehensively surpasses larger general-purpose models in the logistics vertical. Fengyu Big Model has been applied in multiple business scenarios, including marketing, customer service, and express delivery, improving summary accuracy to over 95%, reducing customer service processing time, and providing instant assistance to couriers through intelligent question answering with an accuracy exceeding 98%. Fengyu Big Model can also optimize international logistics customs clearance processes, comprehensively improving the efficiency and quality of logistics services.

The main functions of the Fengyu large model

• Improve summary accuracyIn customer service conversations, key information is automatically extracted and a summary is generated with an accuracy rate of over 95%.
• Optimize customer service processThis reduces the time customer service staff spend handling customer conversations and improves service efficiency.
• Courier supportProvide real-time Q&A services for delivery personnel to help them quickly resolve issues and improve delivery efficiency.
• International Logistics SupportIn international logistics, it is crucial to determine whether goods meet customs clearance standards, standardize the declared product names, and expedite customs clearance.
• Risk controlIn terms of returns and risk control, it automatically identifies and processes orders, reducing errors and fraud.

Technical Principles of Fengyu Large Model

• Natural Language Processing (NLP)This is the foundation for building language models, involving text parsing, understanding, and generation. It enables the Fengyu large-scale model to process and understand large amounts of text data.
• Deep learningBy constructing multi-layered neural networks, large language models can learn complex patterns and features in data. Deep learning is a key technology for training large language models.
• Transfer learningThe Fengyu large model is pre-trained on a large amount of general text and then fine-tuned on specific data in the logistics field.
• Supervised learningThe model learns from labeled training data, which contains the input and the desired output.

Application scenarios of Fengyu large model

• MarketingIt automatically generates marketing copy, provides personalized product recommendations, and designs marketing materials.
• Customer ServiceAutomatically extract key information from customer service conversations to generate service summaries, improving customer service efficiency and quality.
• Collection and delivery operationsProvide real-time Q&A services for couriers to help them quickly resolve problems encountered in their work, such as whether items meet shipping standards and how to pack them.
• International CustomsAnalyze customs clearance standards of multiple countries, standardize the names of goods declared for customs, and speed up customs clearance for international logistics.
• Risk ManagementIn terms of returns and risk control, it automatically identifies and processes orders, reducing errors and fraud.