I'm working on building better product merchandising with AI/ML for online retailers.
The problem: creating unique, engaging product content is expensive and time consuming for retailers. Hiring content writers can cost $50-100 per product. Multiply that by 1000s of products and then add in constant product churn.
With uniquely tuned AI models, combined with a retailers raw product data, I can generate content that improves the buyer's experience and leads to:
- higher conversions
- improved SEO
- standing out from competitors
The app includes:
- the unique LL models
- pipelines to connect to the retailer's catalog
- a feedback mechanism to monitor the products (add to cart, conversions, on page time, etc) and test new content
I did pilot with a large wine retailer. We generated nearly 4,000 product descriptions and saw a near immediate increase in on page time and conversions. It is 90 days out we are now seeing an SEO gain too.
The problem: creating unique, engaging product content is expensive and time consuming for retailers. Hiring content writers can cost $50-100 per product. Multiply that by 1000s of products and then add in constant product churn.
With uniquely tuned AI models, combined with a retailers raw product data, I can generate content that improves the buyer's experience and leads to:
- higher conversions
- improved SEO
- standing out from competitors
The app includes:
- the unique LL models
- pipelines to connect to the retailer's catalog
- a feedback mechanism to monitor the products (add to cart, conversions, on page time, etc) and test new content
I did pilot with a large wine retailer. We generated nearly 4,000 product descriptions and saw a near immediate increase in on page time and conversions. It is 90 days out we are now seeing an SEO gain too.
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