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Webinar Replay: Stop reacting, start growing: How sales and marketing leaders are using AI in 2026

April 29, 2026 | 2 minute read

This webinar was recorded on 4-29-2026.

The best distributors in 2026 aren't working harder. They're working with better information, moving faster on the accounts that matter, and leaving less on the table.

For most sales and marketing teams, the data needed to make good decisions is buried in systems that don't talk to each other, and by the time anyone surfaces it, the moment has passed. AI is changing that, but only for the teams who know how and where to apply it.

In this webinar replay, Benj Cohen, founder of Proton.ai and a fourth-generation distributor, delivers a practical AI master class built specifically for distribution sales and marketing leaders.

Here's what is covered:

  • The three types of AI that matter most for distributors today, with specific use cases for sales and marketing teams

  • What causes most AI projects to fail, and how to sidestep the most common mistakes before they cost you

  • Live demos of AI tools in action, so you can see exactly what's possible

Watch and get a clear picture of how other distributors are using AI to grow faster and concrete ideas for where to get started in your own business this year.


Let's Keep the Momentum Going

The HVACR content doesn’t end here! HARDI's full calendar of webinars, events, and exclusive content is here to keep you informed, inspired, and ahead of the curve in the HVACR industry. Whether you're looking to explore new topics or dive deeper into industry's most pressing issues, there's something for everyone.

Benj Cohen
Proton.ai Founder & CEO
Benj Cohen is the founder and CEO of Proton, the industry cloud for distribution. His mission is to build the platform that brings AI to every part of a distributor’s business. Benj started in the industry at Benco Dental, his family’s distribution business founded in 1930, where he saw firsthand how disconnected systems force good people into low-value work. He founded Proton while studying data science at Harvard to solve that problem at scale.
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