Transforming E-Commerce with LLMs: 3 Real-World Use Cases
summary
Boxalino demonstrates three deployed LLM systems: automated SEO and marketing content for PerfectHair.ch that claims up to 95% workflow automation, product-attribute extraction for Lehner Versand that boosts human expert throughput by ≥10x using embeddings, OCR and hierarchical clustering, and a project-description assistant for renovero.ch that clusters historical offers and generates targeted questionnaires to increase qualified leads. The pipeline uses structured campaign masters, prompt templates, retrieval-augmented generation and human-in-the-loop validation for iterative improvement.
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chapters (6)
- 0:00LLMs in e-commerce
- 4:50Choosing the right LLM
- 6:05Automating content creation
- 13:10Classifying product attributes
- 18:54Streamlining project descriptions
- 24:06Conclusion
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