New Multi-Agent LLM System Aims to Streamline E‑Commerce Seller Insights

Global: New Multi-Agent LLM System Aims to Streamline E‑Commerce Seller Insights

A research team has introduced Insight Agents, a conversational multi‑agent system designed to deliver personalized data and business insights to e‑commerce sellers. The system, described in a recent arXiv preprint, targets sellers operating on Amazon in the United States and aims to reduce the effort required to locate and apply relevant tools and data. By automating information retrieval, the authors anticipate faster, more informed business decisions. The paper was submitted on January 20, 2026.

Addressing Core Seller Challenges

E‑commerce sellers often encounter difficulty discovering and effectively utilizing the myriad programs, tools, and data sources available to them. The authors argue that these obstacles can impede timely decision‑making and limit adoption of advanced analytics.

Hierarchical Multi‑Agent Architecture

Insight Agents employ a plan‑and‑execute paradigm built around a hierarchical structure that includes a manager agent and two specialized worker agents—one for data presentation and another for insight generation. This design is intended to balance comprehensive coverage with low latency.

Manager Agent with Out‑of‑Domain Detection

The manager agent integrates an out‑of‑domain detection component based on a lightweight encoder‑decoder model and routes queries using a BERT‑based classifier. According to the authors, this combination optimizes both accuracy and response time.

Strategic Planning in Worker Agents

Within the worker agents, a strategic planning module decomposes user queries into granular components that map to API‑based data models. Dynamic injection of domain knowledge further refines the insight generation process.

Performance Metrics from Early Deployment

In a pilot deployment for Amazon sellers in the United States, the system achieved a human‑evaluated accuracy of 90% and a 90th‑percentile latency below 15 seconds, indicating both reliability and speed.

Implications for Future E‑Commerce Tools

The authors suggest that Insight Agents could serve as a force multiplier for sellers, potentially increasing adoption of data‑driven practices while reducing the operational burden associated with manual analysis.

This report is based on information from arXiv, licensed under Academic Preprint / Open Access. Based on the abstract of the research paper. Full text available via ArXiv.