mazdek
E-Commerce & Shop E-Commerce

Visual Search & Recommendation

Customers find products by uploading images. The AI recognises objects, styles, and colours and recommends matching items from your catalogue.

52% higher product discovery
Computer Vision Image Recognition ML Recommendation

52%

Higher Product Discovery

38%

More Add-to-Cart

< 2s

Analysis Time

3.2x

Longer Sessions

About this Solution

How does Visual Search work?

Visual Search revolutionises product discovery. Instead of searching by keywords, customers simply upload an image — from an outfit on Instagram, a piece of furniture from a magazine, or a screenshot from a competitor.

Our agent analyses the image with computer vision: it recognises product categories, colours, patterns, styles, and even brand characteristics. Then it searches your catalogue for the best matches.

Recommendations consider not just visual similarity, but also availability, price, and individual customer profiles. The result: customers find exactly what they're looking for — even when they can't describe it.

Features

What this agent can do

Image Analysis

Automatically recognises product type, colour, pattern, material, and style in uploaded images.

Style Recommendations

Finds not just exact matches, but also stylistically similar alternatives.

Multi-Object Detection

Recognises multiple products in one image — ideal for complete outfits or room designs.

Real-Time Processing

Image analysis and recommendations in under 2 seconds — for seamless shopping experience.

Examples

How it works in practice

1

Fashion Inspiration

"Customer uploads screenshot of Instagram outfit."

Agent recognises jacket, trousers, shoes, and bag separately and finds similar items in the shop.

2

Furniture Search

"Customer photographs chair in a restaurant, wants to buy similar."

System analyses design style, material, and colour and shows matching chairs from the catalogue.

3

Spare Part Search

"Tradesperson photographs defective component, doesn't know part number."

Visual Search identifies the part and finds compatible replacements with specifications.

FAQ

Frequently Asked Questions

What image formats are supported?
All common formats: JPEG, PNG, WebP, and HEIC. Images are automatically optimised. Screenshots and photos of printed catalogues also work.
How accurate is product recognition?
Recognition accuracy is over 90% for main categories. For ambiguous cases, the system shows multiple possible interpretations with alternatives.
Can the system also read text in images?
Yes, OCR is integrated. The system can recognise brand names, model numbers, or other text in images and include them in the search.
Are uploaded images stored?
Images are only processed for the duration of analysis and then automatically deleted. No storage without explicit consent.

Interested in this solution?

Let's discuss how Visual Search can revolutionise your product discovery.