Product Visual Search

Enhance product discovery with AI-powered visual recognition.

Product Visual BNR

Better, faster search with visual search tech

Product Visual 2

Our product visual search solution uses advanced AI-powered visual search and machine learning. It is for facilitating seamless searches through images. Just by uploading a picture, customers can easily find information about the product and find similar products by image instantly. That also with great accuracy.

Our holistic view to challenges

Challenges

Inefficient text-based search

Inefficient text-based search

Keyword searches often do not give accurate results and lead to customer frustration.

Image search

Image search

Visual search technology identifies products through images and provides precise and relevant results.

Finding similar products

Finding similar products

Customers struggle to find product based on picture due to incomplete descriptions or inconsistencies.

Instant product matching

Instant product matching

Our system scans and compares product features and displays the most similar options instantly by using AI visual search.

Features

Tedious product discovery

Tedious product discovery

Browsing through large inventories to find the right product is time consuming and tiring.

Faster search

Faster search

Reduced search time and efforts as users can click or upload image of a product. This is to easily locate it using AI-powered image search.

Missed sales oppotunities

Missed sales oppotunities

Potential customers quickly drop off. They drop off when they cannot find what they are looking for easily.

Higher conversion

Higher conversion

AI computer vision for retail simplifies product discovery and keeps customers engaged. This boosts chances of sales.

Visual search can increase conversion rates by up to 30% by allowing customers to find products quickly and easily.

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Who benefits from Product Visual Search?

It is very helpful for those industries where product appearance plays a huge role in decision-making or where customers must find the product on their own.

Product Visual Search 3
  • E-commerce platforms & marketplaces
  • Retail stores
  • Real estate & interior design
  • Automotive & spare parts

How it works?

process
Data collection & training

Data collection & training

We gather product images and train the computer vision product model. It is to recognize visual attributes.

Integration & testing

Integration & testing

We gather product images and train the computer vision product model. It is to recognize visual attributes.

Search & recommendations

Search & recommendations

We gather product images and train the computer vision product model. It is to recognize visual attributes.

Continuous improvement

Continuous improvement

The model is refined using real-time search data. It is to improve its accuracy and relevance.

Insights on innovation

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