🇵🇱 In the latest episode of our Polish-language podcast “E-commerce w pudełku”, we talk about Shopping Assistant and why AI-powered shopping support is shifting from pure automation toward helping customers make better decisions.
🇵🇱 In the latest episode of our Polish-language podcast “E-commerce w pudełku”, we talk about Shopping Assistant and why AI-powered shopping support is shifting from pure automation toward helping customers make better decisions.
AI is changing how customers discover products and make purchase decisions.
We discuss what Shopping Assistant is, how it supports shoppers across the buying journey, and what teams need to prepare before implementation.
AI is changing how customers discover products and make purchase decisions.
We discuss what Shopping Assistant is, how it supports shoppers across the buying journey, and what teams need to prepare before implementation.
Luigi’s Box is now a team of 130+ people across 11 countries, building tools that help e-shops work better every day.
Right now, we have 9 open roles across Product, Engineering, Sales, and Customer teams.
👉 www.luigisbox.com/careers/.
Luigi’s Box is now a team of 130+ people across 11 countries, building tools that help e-shops work better every day.
Right now, we have 9 open roles across Product, Engineering, Sales, and Customer teams.
👉 www.luigisbox.com/careers/.
Watch full episode with Kamil Niedziewicz (Ergonode)
📺 YouTube: bit.ly/48bN9Tr
🎧 Spotify: bit.ly/44q3Ucn
🔊 Apple Podcasts: bit.ly/4pvXssH
#ecommerce #podcast #Ergonode
Watch full episode with Kamil Niedziewicz (Ergonode)
📺 YouTube: bit.ly/48bN9Tr
🎧 Spotify: bit.ly/44q3Ucn
🔊 Apple Podcasts: bit.ly/4pvXssH
#ecommerce #podcast #Ergonode
In our Polish-language podcast “E-commerce w pudełku”, Marta Kwiatkowska talks with Kamil Niedziewicz from Ergonode PIM about why product data structure has a bigger impact on search performance than most teams realise.
In our Polish-language podcast “E-commerce w pudełku”, Marta Kwiatkowska talks with Kamil Niedziewicz from Ergonode PIM about why product data structure has a bigger impact on search performance than most teams realise.