Xiaoshouyi AI-Native CRM Intelligent Sales Assistant

📌 Background

In 2026, AI large model capabilities are penetrating enterprise sales management software, and traditional CRM is accelerating its transition to an AI-native architecture. Xiaoshouyi disclosed at its user conference on September 3 that since the launch of NeoAgent, its AI product ARR has increased by more than 10 times year-over-year, and the platform's average daily token consumption exceeds 2 billion. As of August 31, more than 600 enterprises have implemented real business scenarios on this product, with a cumulative token processing volume exceeding 100 billion (disclosed by the company at the conference).

👤 Target Customers

Mid-to-large-scale enterprise sales teams, particularly B2B enterprises in manufacturing, high-tech, and industries requiring refined sales management.

💰 Revenue Streams

1) SaaS Subscription: Tiered pricing based on the number of users or functional modules; 2) Advanced AI Capability Add-on Packages: Additional charges per module for sales forecasting and intelligent lead scoring; 3) Integration and Implementation: Project-based delivery fees for interfacing with traditional CRM systems; 4) Industry Solution Customization: Additional project-based fees (opportunity item, no public data yet on the ultimate market size).

🧮 Cost Structure

Primary investments include LLM API call costs, R&D team human resources, cloud servers and data storage, and integration development with traditional CRM systems.

🛡️ Moat

Leveraging Xiaoshouyi's accumulated enterprise customer data and industry scenario understanding within the CRM sector to form vertical-domain AI model tuning capabilities, making it difficult for competitors to quickly replicate its deep adaptation to sales workflows.

🔑 Keys to Success

• Embed AI capabilities directly into real sales workflows rather than treating them as add-on features
• Refine intelligent lead scoring and sales forecasting accuracy for key industries
• Prove the quantified improvement in sales efficiency and performance through successful case studies

⚠️ Risks

• Inaccurate AI-generated recommendations leading to a decline in trust from the sales team
• Enterprise data privacy and security compliance requirements driving up delivery costs

🏢 Cases

• Xiaoshouyi NeoAgent implemented at Shengquan Group for customer relationship operation and management
• Xiaoshouyi released the 'Yiqi' product line, providing AI-native CRM tailored for SMEs and individual sales

📊 SWOT Analysis