case study

Web Purchase
Forecaster

Business Goals:
Analyze browsing of retail web users and predict when they are about to purchase something
Serve advertisements / discounts at the optimal time
Data Sets and Models
Time series of domains, search terms, timestamps, geographies of users
Intelligent transformation of original inputs
Several features using large language models and/or NLP
Output and Benefits
Predicts 7 out of 10 user purchases
Predicts Amazon category the user is interested in
Optimizes advertising spend and timing

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