Optimizing foundation models
Business Case
AnyCompany, an online fashion retailer, has high cart abandonment and few repeat purchases because customers are overwhelmed by choice. It wants a personalized shopping experience.
Business metrics to track
- Conversion rate: purchases per site visit
- Average order value: dollars spent per transaction
- Customer retention rate: percentage of returning customers
Solution
An LLM that writes dynamic product descriptions, gives personalized shopping advice, and improves automated interactions:
- Fine-tuned on transactions, customer feedback, and interaction data (likes, clicks, past purchases)
- Integrated with a recommendation engine to adapt products and promotions to each customer in real time
- Continuous learning from new customer data and fashion trends, without manual intervention