Big markets mean room to pivot, but also room to get lost. Where do you start?

For Bijan Vaez, that meant starting in product photography and ending up deep in retail data. Along the way, he discovered why AI often fails when it’s layered on top of messy information, and how fixing the source of data can unlock far more value than chasing features.

In this bonus episode, Daniel and Bijan talk about pivots, finding the right market, and how to listen for what customers actually need.

🎧 Curious where the full story leads?

In the complete episode, Bijan shares how Merch Kit helps retailers clean and enrich product data, why applied AI often means solving “old” problems in new ways, and where he sees the next frontier of connected AI systems.

Listen to the full episode: https://rss.com/podcasts/manaryhaus/1940948/

🔗 Resources & Links

• 🤝 Connect with Bijan: https://www.linkedin.com/in/bijanvaez/
• 🛒 Learn more about MerchKit: https://www.merchkit.com/
• 📩 Subscribe to the newsletter for more AI insights: https://manary.haus/podcast#haus
• 👉 Have a guest in mind? Reach out to Daniel at [email protected]

💬 If this clip got you thinking about your own data challenges, share it with someone building in AI and start the conversation.