Some companies are already using AI well. But most mid-market Manufacturers and Distributors are not. A lot of what’s out there is either theory or built for teams with data scientists and a big software budget, so plenty of commercial teams are stuck, knowing they should do more with AI but not knowing where to start.
This session addresses that AI-capability gap. In 60 minutes, we’ll show the plays that commercial teams at distributors and manufacturers can run right now with the tools they already have, and where it makes sense to go further. We’ll walk the full customer lifecycle: finding new accounts, winning them, growing the ones you have, and keeping the ones at risk of leaving. We’ll also show the more advanced, analytics-driven approach we use at Revify.
What You’ll Learn
- How to put ChatGPT and Claude to work on real commercial tasks today, with no data science team and no big software spend.
- Specific AI plays for each stage of the customer lifecycle: finding new accounts, winning them, growing the ones you have, and reducing churn.
- Prompts and workflows you can hand your team the same day, using the tools you already have.
- Where AI actually helps on pricing and commercial calls, and where you still need human judgment.
- A look at the more advanced, analytics-driven approach from Revify, for teams ready to go past the basics.
Speakers
Armin Kakas — Founder & Managing Partner, Revology Analytics and Co-Founder, Revify Analytics.
Enrico Sieni — Partner, Revology Analytics and Co-Founder, Revify Analytics.
