AI and machine learning are changing the way users shop by powering personalized product recommendations, dynamic pricing, and even predictive shopping lists. For those who have implemented AI/ML in ecommerce apps — what’s the best approach?
Do you recommend building custom algorithms in-house, or are third-party APIs (like TensorFlow or AWS ML services) sufficient for startups? What challenges should businesses expect when introducing personalization features at scale?
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At Frubs, we’re exploring how AI and machine learning can enhance the way healthcare professionals shop for medical scrubs online in Pakistan — from personalized recommendations to predictive sizing.
For ecommerce startups, is it better to build custom AI models in-house or use third-party solutions like AWS or TensorFlow? What key challenges arise when scaling personalization features?
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