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AI Use Case for Retail & E-Commerce – Predict Visitor Conversion Likelihood with 0.85 AUC Accuracy

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Use case "Predict Visitor Conversion Likelihood..." and related
6 use cases
AI Use Case in 🛒Retail

Predict Visitor Conversion Likelihood with 0.85 AUC Accuracy

Sources: 🐦 Tweet by @marc_louvion 🐦 Tweet by @marc_louvion
Helps: Data Scientists BI Analysts SEO Strategists +2 more
AI Features: Recommendation
5 months ago
AI Use Case in 🛒Retail

Analyze E-Commerce Data to Reduce Wasted Ad Spend

Sources: 🐦 Tweet by @justinleedoyle 🐦 Tweet by @Scobleizer
Helps: Data Scientists Computer Systems Analysts Operations Research Analysts +2 more
AI Features: Tool-use & Integration Personal Planning +1 more
4 months ago
AI Use Case in 🛒Retail

Generate Virtual Try-Ons Without Physical Photo or Video Shoots

Sources: 🐦 Tweet by @levelsio 🐦 Tweet by @levelsio 🌐 photoai.com +1 more
Helps: E-Commerce Merchandisers Software Engineers 3D Animators +2 more
AI Features: Video Generation Image Generation +1 more
3 months ago
AI Use Case in 🛒Retail

Generate Realistic Virtual Try-Ons for E-Commerce

Sources: 🐦 Tweet by @levelsio 🐦 Tweet by @levelsio 🌐 photoai.com
Helps: Software Developers Data Scientists Instructional Designers +2 more
AI Features: Image Generation Video Generation +3 more
3 months ago
AI Use Case in 🛒Retail

Streamline E-Commerce Data Workflows to Scale Personalization

Sources: 🐦 Tweet by @KirkDBorne 🌐 nexla.com 🌐 nexla.com
Helps: Data Scientists Bioinformatics Technicians Operations Managers +2 more
AI Features: Recommendation Summarization +2 more
4 months ago
AI Use Case in 🛒Retail

Fit Garments for Virtual Try-On in Online Fashion Retail

Sources: 🐦 Tweet by @levelsio 🐦 Tweet by @levelsio
Helps: UX Designers Data Scientists Game Designers +2 more
AI Features: Video Generation Image Generation +1 more
4 months ago
AI Use Case in 🛒 Retail & E-Commerce

Predict Visitor Conversion Likelihood with 0.85 AUC Accuracy

E-commerce website owners use a logistic regression model (built with Cursor + Gemini) to predict whether visitors will convert into customers. The AI is trained on visitor data, achieving an AUC of 0.85 compared to 0.76 from the previous hardcoded approach.
Helps: Data Scientists BI Analysts SEO Strategists Statisticians Financial Analysts
AI Features: Recommendation
Apr 19, 2025

Sources (2)

“Holy smokes I vibe coded a logistic regression algorithm (machine...”

🐦 Tweet by @marc_louvion • Apr 19, 2025

“This is DataFast's revenue prediction for CodeFast (last 30 days,...”

🐦 Tweet by @marc_louvion • Apr 18, 2025

One quick check...