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Retail & E-commerce Intelligence

Visual Search Engine Increases Product Discovery by 27%

Launched an AI-powered visual search engine enabling users to upload images and find visually similar products within the retailer’s catalog, improving product discovery and engagement.

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27%
Increase in product discovery interactions
19%
Increase in conversion from visual search users
500K+
Images processed monthly

Client Overview

Industry: Furniture & Home Decor E-commerce
Core business: Online retail platform for furniture and interior design products
Employees: 75
Geography: US & EU
Platform scope: Image upload module, search engine integration, product recommendation system

Visual Search Engine Increases Product Discovery by 27% overview

Challenges

Customers struggled to find visually similar items manually

Matching across hundreds of thousands of products required high-performance indexing

Uploaded photos varied in lighting, angle, and resolution

Solution

Developed deep learning models to extract visual feature vectors from images

Implemented high-speed vector indexing for real-time similarity matching

Built seamless image upload and search interface within the e-commerce platform

Enabled processing of hundreds of thousands of images monthly

Business Impact

Product discovery interactions increased by 27%

Users engaging with visual search converted 19% more often

Reduced search friction for style-driven shoppers

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