🎯
Business Objectives
- ›Convert more inquiries to quotes / orders
- ›Reduce response latency
- ›Qualify leads automatically
⚙️
Operational KPIs
- ›Avg response time
- ›Inquiry → Quote conversion
📈
Management KPIs
- ›Pipeline created
- ›Lead quality score
🤝
Customer KPIs
- ›First-response time
🗄️
Available Data
- ›Inquiry timestamp, channel, content, response time
✨
AI Use Cases
- ›Auto-classify and route inquiries
- ›Auto-draft response
- ›Lead scoring
🔮
Predictive Analytics
- ›Likelihood inquiry converts to revenue
🚨
Anomaly Detection
- ›Channels with rising drop-off
🎁
Recommendation Engines
- ›Best agent to assign
🤖
AI Copilot Features
- ›'Draft a reply to this RFQ'
💬
Natural-Language Reporting
- ›'Conversion rate by channel'
📊
Executive Dashboard Metrics
- ›Inquiries / day, conversion, response time
⚡
Workflow Automation
- ›Auto-respond and triage 24/7
🛰️
Autonomous Agents
- ›Inquiry Concierge Agent handles tier-1 end-to-end
🖥️
Recommended Dashboards
- ›Lead Funnel
💡
Example Executive Insights
- ›28% of after-hours inquiries are lost; AI concierge captures 80% in pilot
📦
Required Datasets
- ›inquiries
- ›quotes
- ›customers
📅
Historical Data Needed
12 months
🧠
ML Models / AI Approaches
- ›LLM intent classification
- ›Sequence-to-sequence drafting