AI for e-commerce – product descriptions, recommendations, search

Have hundreds or thousands of products and can’t write descriptions by hand? Want better “similar products” recommendations or search that understands the customer? AI for e-commerce can do it.

The problem: empty or weak descriptions and recommendations

Products without descriptions or with minimal text rank poorly and convert less. Manual copy for a large catalogue isn’t realistic. “Customers also bought” is often mechanical and not very relevant.

How AI helps

• Automatic product descriptions – from name, attributes and images AI generates a sales description including SEO text.
• Product recommendations – based on customer behaviour and product similarity (embeddings).
• Natural-language search – customer types “black shoes under 2000” and the system finds relevant items.
• Scalability – new products can get descriptions in batch without adding people.

Real-world example

An e-shop with about 500 products: most had only a name and a few attributes. AI (OpenAI) generated a short sales description and meta description for each product by category and specs. Work that would take weeks manually was done in a day. Then semantic search was added – customer searches “gift for grandma” and gets suitable categories and products.

Technologies

• OpenAI – description generation, summarisation, embeddings for product similarity.
• LangChain – pipeline for batch generation, connection to e-shop API (products, categories).
• Pinecone / Weaviate – vector search for “similar products” and natural-language search.

No-obligation inquiry – AI for your e-shop
Email: rasovsky.mar@gmail.com · Phone +420 605 219 155

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