Building Multi‑Scenario Personal and Office AI Assistants with Large Models at Huolala

Huolala, a technology‑driven logistics company, has been exploring the use of large language models (LLMs) to develop AI assistants for personal and office use across multiple business scenarios.

The AI assistants are built on a self‑developed LLM application platform called the Wukong Platform, which supports direct LLM calls, chain or agent construction, and ensures data security and customizable development.

Key characteristics of Huolala’s AI assistant practice include simple QA functionality, addressing real business pain points, and broad coverage—over 14 scenarios and 48 concrete business needs.

Five development stages are described: (1) Professional assistants for specialized tasks such as container troubleshooting and vulnerability analysis; (2) AI Q&A assistants using a knowledge‑base + RAG + LLM pipeline, achieving over 90% precision for standard answers; (3) Weekly‑report generation assistants that retrieve data, generate charts via code‑interpreter tools, and provide analytical conclusions; (4) Multimodal assistants (e.g., insurance‑quote generation and AI‑driven training) that handle images, tables, and speech; (5) Multi‑agent assistants that combine specialized agents (VPN, email, network) with a routing agent for higher overall accuracy.

Prompt engineering is emphasized, with an 80‑point prompt framework that clearly defines business context, role, task description, special cases, and guidance to improve model performance.

The platform offers flexible integration methods, including Feishu bots, browser plug‑ins, and direct API endpoints, enabling rapid deployment in education, HR, PMO, and other domains.

Future outlook highlights the rapid evolution of AI in logistics, anticipating smarter, more efficient services over the next five to ten years.

A short Q&A segment clarifies that current classification of questions for precise answers is manually defined rather than model‑driven, and a recruitment notice for marketing algorithm engineers is included.