Notas del episodio
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:
Palabras clave
AI in retail operationsAI in e-commerceApplied AI pivotsAI in retail dataAI business case studyProduct catalog management with AIMessy data AI solutionsRetail AI workflows