AI Sales Agent module
Owners and sales managers
Sales Analytics
Turn AI conversations, missed sales, recovered orders, and customer reasons into practical improvement suggestions.
Overview
Sales Analytics is the intelligence layer for the AI Sales Agent. The current dashboard already shows operating metrics such as revenue, orders, customers, sales pace, and fulfillment. This sub-feature extends that idea into AI-specific sales insight.
The goal is to help owners understand not only what happened, but why customers did or did not buy. That lets the business improve pricing, product information, delivery messaging, and follow-up strategy over time.
Capabilities
Lost Sales Dashboard
Owners can see lost sales, recovered sales, recovery rate, and follow-up success rate. This makes AI recovery measurable instead of invisible.
Lost Reason Analytics
The system can group reasons customers did not buy. Examples include too expensive, still thinking, need more information, found another shop, and other.
AI Suggestions
The AI can analyze conversation patterns and suggest practical improvements. If customers frequently ask about shipping costs, the business should consider showing delivery information earlier. If many customers leave after seeing the price, the owner may need a lower-priced option, installment option, or clearer value explanation.
Conversion Quality
Future metrics can show AI conversion rate, takeover rate, average response time, product recommendation success, and abandoned conversation recovery.
Expected Experience
- Owners can see lost and recovered sales metrics.
- Lost reasons are grouped into understandable categories.
- AI suggestions are based on real customer conversation patterns.
- The dashboard separates operating metrics from AI sales improvement metrics.
- Suggestions should be written as clear business actions, not abstract analytics language.
Related Pages
- Feature: AI Sales Agent
- Feature: Dashboard Analytics
- Feature: Order Management