Learn & Grow Webinar: Moneyball for Franchising: Using AI to Predict Success Before It Happens

Most franchisors manage by looking in the rearview mirror—reviewing sales reports and audit scores after the damage is done. But your data contains ‘leading indicators’ that can predict a franchisee’s failure months in advance.

What to expect

• The “Data Silo” Problem: Why your LMS data (training), POS data (sales), and Field Audit data (compliance) don’t talk to each other, and how AI bridges that gap.
• Moving from “Completion” to “Correlation”: Stop checking if franchisees finished the training. Use AI to ask: “Did the stores that finished the training actually sell more burgers?”
• Predictive Modeling: How AI can flag a “at-risk” location based on subtle behavioral patterns (e.g., a drop in login frequency or quiz accuracy) before their sales drop.
• Practical Takeaway: A 3-step guide to cleaning your data so it is “AI-Ready.”

Don’t miss the chance to hear from Philip Giles, Senior Sales Director at Neovation Learning Solutions, register here: Learn & Grow | Moneyball for Franchising: Using AI to Predict Success Before It Happens – Canadian Franchise Association