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Overview
Enterprises came to us with a problem: they needed a quick and easy way to create a high volume of product descriptions that were good for SEO and matched their brand's style.
Collaborating with our team of engineers, I:
- Ran the customization process for product descriptions to align with companies' brand voices, including:
- Analyzing and testing for relevant inputs from data
- Mapping out requirements for data processing and pipelines
- Synthetic data generation
- Prompt engineering for optimal output
- Testing and evaluating the results through sampling data, feedback collection and analytics
- Collaborated with engineering to develop the platform architecture for data processing, cleaning and model setup
Challenges considered
- Data volume management: handling large datasets with scalable processing systems
- Consistency: Making sure all the descriptions sounded consistent, whether it was formatting, tone of voice or style guide requirements
- SEO integration: Integrating keywords without making content sound robotic
- Content filtering: Created systems to exclude undesirable words/phrases
- Model generalization: Implemented techniques to prevent overfitting
Results
- 17% increase in organic search traffic for a Fortune 100 beverage company
- 93% time savings in product copy creation for a mid-market sporting goods company
- Generated 20,000 product descriptions and optimized 60,000 SEO keywords in 4 months for a Fortune 500 clothing retailer