From customer service intelligence to traffic prediction — AI for critical infrastructure
Telecom and transportation industries generate massive user interaction and real-time operational data, yet face challenges in customer service efficiency, supply chain management, and model accessibility. MatrixOne Intelligence helps operators and transportation agencies achieve comprehensive upgrades from knowledge management to intelligent decision-making.
Massive user scale, heterogeneous data, high AI adoption barriers
Massive customer service recordings and transcripts fail to convert into knowledge assets — script quality varies widely across agents
Limited supplier discovery channels, no systematic price benchmarking — procurement lacks competitive tension
Fusing dozens of heterogeneous data sources for ML modeling requires specialized skills — decision-makers can't directly interact with models
Industry intelligence solutions built on MatrixOne Intelligence
Automatically transform raw customer service audio and text into structured, searchable, continuously improving knowledge assets
Auto-parse project specs, search internal and external sources, and generate supplier recommendations with price benchmarking reports
Non-technical users configure and query ML model predictions using natural language — bridging data to decisions
RAG-powered Q&A system based on internal documentation — guiding employees to submit correct IT service requests
AI in action at operators and transportation agencies
A wholly-owned subsidiary of China Mobile deployed an AI supplier sourcing and price benchmarking assistant that auto-parses project files, searches market sources, and generates comprehensive procurement reports with supplier recommendations.
Shenzhen's transportation data center fuses multi-source traffic data for congestion prediction ML models, with a natural language interface enabling planners to directly query and configure models.
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