Case Study: Web Purchase Forecaster

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Business Goals:

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Analyze browsing of retail web users and predict when they are about to purchase something

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Serve advertisements / discounts at the optimal time

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Data Sets and Models:

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Time series of domains, search terms, timestamps, geographies of users

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Intelligent transformation of original inputs

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Several features using large language models and/or NLP

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Output and Benefits:

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Predicts 7 out of 10 user purchases

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Predicts Amazon category the user is interested in

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Optimizes advertising spend and timing

Person reviewing charts on laptop.
Arrow labeled 'Time series of user actions.'
A google search of "iPhone 14 online cheap".
Arrow labeled 'Real-time prediction.'

Amazon & Walmart Categories

Probability of purchase table.
Person reviewing charts on laptop.
Arrow labeled 'Time series of user actions.'
A google search of "iPhone 14 online cheap".
Arrow labeled 'Real-time prediction.'

Amazon & Walmart Categories

Probability of purchase table.