Features
Natural language querying of operational data
Custom internal tool development for specific workflows
Automated data movement between ERP, email, chat, and reports
Digitization of pen-and-paper field data
Compliance checking across multiple languages
OEE tracking pulling from shop floor data
Inventory and logistics cost analysis
Data cleanup for messy records (e.g., 850k records)
Operational diagnostic to map core processes
Trial engagement on highest-impact problem
Audit trail with timestamps and user attribution
Human-in-the-loop control for autonomous actions
Real mathematical computation (not language prediction)
Contextual AI that learns business terminology and rules
Enhanced chat for complex logistics queries
AI-generated KPI dashboard with ROI-ranked insights
Proactive recommendations from 20+ years of best practices
Rapid data analysis from over 45 data sources
Context from 20+ million delivered shipments
Identify and mitigate operational risks
Uncover hidden efficiency opportunities
Multi-shipper network analysis for hidden value
DocAI for automating freight audit and payment
Real-time market insights
Supports intermodal operations and cross-border (Mexico)
Integration with Uber Freight TMS
User-friendly interface for supply chain teams
