Design and Implementation of an Automated Logistics QA Bot Using Retrieval, Rerank, and Data Augmentation Techniques
This article describes a low‑cost, privacy‑preserving chatbot for logistics that combines data cleaning, large‑model‑based data augmentation, BM25 and vector retrieval, a DNN rerank model, and LLM‑driven answer rewriting to deliver accurate, compliant automated responses.