AI Agents That Actually Work: How DTC Brands Save 200+ Hours Monthly (Without Engineers) cover art

AI Agents That Actually Work: How DTC Brands Save 200+ Hours Monthly (Without Engineers)

AI Agents That Actually Work: How DTC Brands Save 200+ Hours Monthly (Without Engineers)

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Most e-commerce teams are drowning in manual work that AI should be handling—but there's a massive gap between AI hype and AI that actually works.

In this episode, discover:

  • How autonomous agents differ from chatbots and query tools—no more babysitting or constant prompting required for repetitive tasks
  • The exact process one D2C fitness brand used to identify influencers from their top 5% customers in 5 minutes (previously took a team of interns months)
  • Why the disconnect between data scientists and marketers is costing you money, and how AI agents bridge that gap to free up your team for strategic work

Ibby Syed is co-founder of Cotera and was one of the first data scientists at Peloton during their hypergrowth phase. He watched DTC brands scale rapidly while drowning in scattered customer data across disconnected tools.

Whether you're doing $10K months or $1M months, this conversation delivers actionable insights you can implement this week.


📝 Full show notes, strategic takeaways, and resources: https://ecommercefastlane.com/podcast/episode-435/

Connect with us:

🐦 Twitter: https://twitter.com/stevenhutt
💼 LinkedIn: https://www.linkedin.com/in/shutt/
📘 Facebook: https://www.facebook.com/thrivingwithshopify
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