AI Product Photo Processing for OpenCart (background, upscale, watermark)

Description

Standard "Similar products" blocks in OpenCart show products from the same category. This is primitive. AI recommendations analyse real buyer behaviour: what was viewed together, bought together, what purchase sequences are typical for your catalogue. The result — relevant recommendations that actually increase average order value.

We implement AI recommendation systems for OpenCart and ocStore: from behavioural data analysis to personalised block display on product, category and cart pages.

Recommendation Block Types

• Frequently bought together (collaborative filtering)
• Similar products by content features (content-based)
• Personalised recommendations based on buyer browse history
• Popular in category over last 7/30 days
• Cart recommendations for average order value increase

Technical Implementation

For small catalogues (up to 5,000 products) OpenCart log analysis and association rules suffice. For large catalogues — we connect vector databases and ML models. Analytics provided: block CTR, average order value increase after implementation.