ML-Powered Search Optimization for Enhanced Customer Experience
FactFinder, a leader in eCommerce solutions, sought to develop AI-powered tools to improve search result accuracy and relevancy for its end-users. The goal was to leverage language models to optimize search content parsing and extraction from multiple formats, including JSON, HTML, PDF, image, and video. This project aimed to enhance user experience across major retailers such as Spar, DOUGLAS, OBI, Sthil, InterSport, and Boots.
Company
FactFinder
Country
Germany / Sweden
Service
MVP · AI/ML
Since
2023
Industry
eCommerce — Medium & Large Companies
Enhanced Customer Experience
Why the Client Needed co.brick Services:
FactFinder required a skilled development and consultation team to create a custom tool capable of accurately categorizing and displaying search results based on content metadata. They needed expert advice on API integrations for both FactFinder NG and OpenAI while ensuring a smooth and reliable development process. The client turned to co.brick for its proven expertise in DevOps, machine learning, and large-scale software integration projects.
Team Roles
4
Team Size
Tech Stack
Challenges Faced by FactFinder
Parsing was crucial, but handling the wide variety of content formats presented a significant challenge.
Handling Diverse Content Formats
FactFinder needed to process content from various sources such as JSON, HTML, PDFs, images, and videos — each requiring different parsing strategies.
Ensuring Accurate Search Results
The primary goal was to improve the accuracy of search results by categorizing content based on metadata such as language, category, title, and description.
Managing Scalability & Extensibility
Ensuring the tool could be scaled for use by multiple clients required careful planning to maintain flexibility in the crawler's design while remaining robust under different content environments.
Results & Benefits
Delivered On Time
The project was completed within the three-month timeline, meeting all milestones and quality requirements.
Improved User Experience
Enhanced search result accuracy helps users find relevant content faster, contributing to higher customer satisfaction across major retailers.
Scalable Solution
The modular design allows FactFinder to apply this solution across different eCommerce platforms, improving efficiency and reducing time-to-market for future integrations.
Collaborative Achievements
The tools were designed for medium to large eCommerce businesses looking to improve their customers’ search experiences. FactFinder’s key clients include well-known brands like Spar, DOUGLAS, and Boots, who seek efficient, AI-driven solutions for accurate content categorization and search result optimization.
Let's discuss your project
Book a free 30-minute consultation to explore how we can help you achieve similar results.
Book a Consultation