AI-based recommendations based on style

Hectiq : Lookalike Products is specifically designed to ease the exploration and recommend products based on appearance and style. There is no need to describe explicitly and categorize the style of the product, the system automatically analyzes the relevant visual features of the product and indexes them accordingly.

Most old-fashion recommendation systems are using a simple algorithm based on items bought together to compute the relevancy of recommendations. This approach does not work well for customer shopping for a specific style of a fashion product. Hectiq : Lookalike Products helps customers dig into a large inventory of fashion products efficiently and quickly by showing them visually similar to the one they already found.

Use Cases

• Eyewears
• Apparels
• Jewelry
• Watches
• etc.

Features

• No cold start. Work from day 1 using pretrained models.
• One-click install and fully automated.
• State-of-the art pretrained deep learning models.