AI Case Study
An AI-Driven Visual Product Search Platform To Drive Higher AOV!
Our team created and advanced visual product search platform for an eCommece brand leveraging AI-based solutions.
We assessed client challenges and built a custom AI visual search solution that optimizes time-to-result, boosts accuracy, and improves operational metrics.
Matching & Object Detection Accuracy
Higher Conversions For ECommerce Brand
Increase in Average Order Value
Customer Overview
The client is a leading U.S.-based eCommerce giant headquartered in Seattle. It has a catalog of over 20 million SKUs and attracts 80 million monthly active users. The brand’s existing search experience struggled with visual discovery, leading to high return rates and customer frustration with typing-based searches.
We developed an AI-driven visual search platform that enables users to upload images and instantly find matching products.
Business Challenges
The client struggled to scale product discovery with conventional search features, which focused more on text-based searches. This caused slower product searches and customer frustration.
Search Limitations
Customers struggled to convey their visual preferences, such as color tones, patterns, and textures, in written text, resulting in suboptimal search results.
High Return Volume
Inaccurate product selection resulted in higher return rates, which impacted the overall operational cost and ROI.
Mobile-Centric Gaps
Inconsistencies in UI for mobile devices, typing fatigue, and unclear search options on mobile devices caused higher cart abandonment rates.
Catalog Complexity
Managing 20 million SKUs with inconsistent image formats and metadata resulted in low relevance and poor match quality.
Operational Overhead
Maintaining accurate visual matching required ongoing manual tagging, model retraining, and costly infrastructure updates.
Lack of Agility
The E-commerce brand struggled to gain a competitive edge due to a lack of agility and data, particularly when adding new product categories rapidly in response to changing market dynamics.
Solutions That Excellent Webworld Developed!
Our team designed an AI-powered visual search engine that was context-aware and offered personalized product recommendations to customers.
Image-Based Search Engine
We deployed an AI-powered image-based search engine that allows users to instantly discover products on the eCommerce platform by uploading an image.
Advanced Object Recognition
Our team developed and deployed object recognition capabilities for the eCommerce platform, which can parse specific patterns, colors, and textures from images uploaded by users..
LLM-Powered Visual Matching
We developed a custom large language model for the AI-based visual search engine, enabling it to accurately match products with images uploaded by users.
Shop The Look Functionality
Our team paired visual search with “Shop The Look” functionality, which suggests complementary products and creates cohesive outfits for users, reducing return rate.
Camera-Based AI Search
We integrated a native camera API into our eCommerce AI search engine. So if a user wants to search for a specific product, they can take a picture with the camera.
Generative AI Tagging
Our team leveraged generative AI LLMs to automate tagging for each product, combining them with computer vision technology to instantly extract visual attributes, apply metadata, and maintain catalogs automatically.
A Streamlined Approach To Build a Smart Visual Search Engine!
Our team followed a step-by-step approach to create AI-based solutions for the eCommerce brand.
Define Objectives & Requirements
Collect & Prepare Data
Build & Train Models
Develop & Optimize Infrastructure
Integrate with Platform & UI
Deploy, Monitor, Test & Improve
Tech Stack We Used For AI Visual Product Search Engine
An AI-Driven Image-Based Search Engine For ECommerce Success!
Creating a visual search engine that can cater to more than 20 million SKUs across product categories requires expertise and a strategic development plan. As an experienced eCommerce development company with expertise in building AI-based solutions, we first analyzed the existing eCommerce platform.
Based on our analysis and client requirements, the experts at Excellent Webworld built a customized AI-based visual search engine. It is context-aware and offers query-based capabilities for customers, but through visuals. This means customers can upload or click pictures, and based on the visual data, AI models provide product suggestions or ask further queries to provide real-time recommendations across categories.
- Image-Based Product Search
- Advanced Image Analysis
- Instant Object Recognition
- Content-Based Image Retrieval (CBIR)
- Personalized Product Recommendations
- Customizable Search Filters
- Conversational Search Feature
- Metadata And Semantic Matching
Business Impact Of An AI-Based Visual Product Search Engine
The deployment of our AI-driven visual search engine transformed the way users searched for products on the client’s eCommerce platform. It allowed them to improve not just revenue but also reduce return rates and improve conversions.
With the AI models our team fine-tuned to cater to user preferences during each search, the client achieved an average order value increase of 12-16%. This helped the client improve revenues and ensure higher ROI.
We helped the client reduce bounce rates on their platform by 22%, thereby improving ROI by enhancing user engagement. The AI-based search engine our team developed features an intuitive design that enhances user engagement.
The context-aware visual search engine our team built ensured that customers get product details instantly. Plus, product recommendations suggested by the AI models, tailored to user preferences, are provided in each session, ensuring lower cart abandonment rates.
Generative AI tagging enabled client teams to manage catalogs in real-time, resulting in improved operational efficiency. Additionally, AI-driven product discovery accelerates time-to-market, enabling the quick onboarding of thousands of new SKUs with minimal effort.
Leveraging our AI development services the client created a platform that helped improve the conversion rates by 30%. Faster product discovery, ease of visualizations, and new product recommendations on the platform allowed the client to convert more leads.
The analytical capabilities of the AI model and the visual-based search engine allow the client to get deep insights into customer preferences. Plus, real-time meta tagging will enable clients to optimize catalog management, ensuring agile decisions based on dynamic market demands.
Need An AI-Powered Visual Search Engine For Your ECommerce Platform?
With a team of AI development experts, we offer end-to-end solutions for your eCommerce platforms, ensuring higher ROI. Our team analyzes your requirements and develops a solution tailored to your eCommerce needs.