AI-Powered Transformation in Fashion E-Commerce
summary
Claims a measurable lift: cites McKinsey figures that 35% of Amazon purchases and 75% of Netflix views come from recommendations and marketer stats of ~56% sales lift and ~49% impulse buys, 44% repeat buyers. Describes a deployed system from BE-terna that fuses hybrid collaborative+content recommender models, sources ERP/CRM/BI and external data, exposes controls in Power BI/Qlik Sense, and runs as batch updates not real time. Offers on‑prem or cloud deployment and workshop‑driven integration.
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chapters (10)
- 0:00AI in fashion e-commerce
- 1:03Speaker and ML team
- 3:53Customer segmentation thought experiment
- 7:06Customer journey and data
- 9:39Intelligent segmentation explained
- 13:10Personalized recommendations
- 15:57AI integration in CX
- 19:07Bna’s AI differentiators
- 21:18Q&A on real-time recommendations
- 24:02Closing remarks
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