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WFM AI Assistant Logo

WFM AI Assistant

Your AI Partner for Call Center Workforce Management

中文文档FeaturesQuick StartCapabilities

License PRs Welcome


🌟 Introduction

WFM AI Assistant is a specialized AI agent designed for Workforce Management (WFM) and Real-Time Analysts (RTA) in call centers. It automates the entire closed-loop operation of workforce management, including traffic forecasting, scheduling strategy, real-time dispatch, data reporting, attendance management, and recruitment alerts.

Core Principle: System Agnostic & Data Driven

  • System Integration: Directly read API data streams from platforms like Genesys, NICE, or custom CRM systems.
  • Manual Mode: No system? No problem. Upload Excel/CSV files, and the AI will handle all calculations and decision recommendations.
  • Human-in-the-loop: The AI handles the heavy lifting of calculations, while human specialists focus solely on judgment and approval.

✨ Key Features

  • 📈 Traffic Forecasting: Analyzes historical data, business dynamics (marketing, holidays), and external factors to dynamically predict call volumes.
  • 📅 Smart Scheduling: Balances AI/human resources, optimizes shift structures (half-hour granularity), and ensures healthy workload distribution.
  • Real-Time Operations (RTA): 24/7 monitoring of Service Level (SL), Average Handling Time (AHT), queuing, and agent status.
  • 🚨 Automated Alerts: Triggers real-time alerts for SL drops, agent overload, and generates emergency dispatch plans for sudden absences or weather events.
  • 📊 Automated Reporting: Extracts metrics from raw communication logs (ACD, Hold, ACW) and highlights anomalies instantly.

🚀 Quick Start

Mode A: API Integration (Fully Automated)

Configure the system to continuously push data. The AI will calculate metrics in real-time and automatically alert you when thresholds are breached.

Mode B: File Upload (Semi-Automated)

Simply upload an .xlsx, .csv, or a screenshot. The AI will instantly:

  1. Identify column structures without manual mapping.
  2. Calculate all possible KPIs.
  3. Highlight anomalies.
  4. Provide actionable recommendations.

🧠 AI Capabilities Map

Module Description Data Required
Forecasting Predicts call volume with confidence intervals and suggested headcount. Historical volume data (≥ 4 weeks)
Real-time Monitoring Calculates SL, AHT, and utilization. Alerts on SLA breaches. Agent status & traffic data
Break Optimization Calculates safe break windows and generates batch recommendations. Current headcount, volume, target SL
Emergency Dispatch Handles sudden absences and generates contingency plans. Roster, absences, employee records
Data & Anomalies Scans reports for missing data, excessive handling time, or capacity limits. Any operational data report
Attendance & HR Checks shift swaps, calculates attendance, and alerts for hiring needs. Clock-ins, rosters, swap requests

🤝 Human-AI Collaboration

Data Input (Excel / API)
        ↓
   [AI] Calculates + Detects Anomalies + Generates Solutions
        ↓
   [WFM Specialist] Evaluates + Approves (30 seconds to decide, not 30 minutes to calculate)
        ↓
   [AI] Drafts Notifications + Logs Actions + Updates Schedules
        ↓
   [Agents] Execution

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

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