Agri-Sales Funnel Prediction Model
Use this simulator to understand how AI can forecast sales potential by analysing your leads, historical conversion rates, and engagement levels.
What Is This Tool and How Does It Work?
The Agri-Sales Funnel Prediction Model simulates how AI can forecast your expected sales based on lead volume, conversion rate, and engagement effort—particularly relevant for agricultural wholesalers, producers, or co-ops with a sales team.
Simulated Use Case:
A sales rep has 120 leads, an average conversion rate of 15%, and plans to make 3 follow-ups per lead. This model uses a simplified AI approach to predict how many of those leads will likely convert into successful deals, factoring in effort-based impact.
In reality, AI-powered sales models would learn from historical data, client behaviour, and sales performance to prioritise leads, recommend timing, and forecast revenue with precision.
How to Use It
Use Clear to reset and test other scenarios.
Enter your total number of leads.
Input your average conversion rate (based on past performance or estimates).
Add how many follow-ups (calls, emails, visits) you typically plan per lead.
Click “Predict Sales” to simulate the outcome.