OptiCatalog
Elevator Pitch: OptiCatalog revolutionizes e-commerce by using advanced AI to transform messy product listings into neatly categorized inventories, making it effortless for customers to find exactly what they want and for platforms to showcase the right products to the right audience.
Concept
Enhancing E-Commerce Product Discoverability with AI-powered Attribute Extraction
Objective
Improve product discoverability and recommendation accuracy on e-commerce platforms.
Solution
Utilize large language models (LLMs) like GPT-4 to accurately extract and normalize product attributes from unstructured descriptions and titles for better search and recommendation.
Revenue Model
Subscription-based model for e-commerce platforms, and pay-per-use for small and medium enterprises (SMEs).
Target Market
E-commerce platforms, online marketplaces, and SMEs with online sales channels.
Expansion Plan
Initially target English-speaking markets, followed by localization for non-English regions. Expand service to support attribute extraction for service-based businesses.
Potential Challenges
High computational costs for running LLMs, maintaining accuracy with diverse and evolving product categories.
Customer Problem
Difficulty in navigating e-commerce platforms due to poorly categorized products and inaccurate product recommendations.
Regulatory and Ethical Issues
Compliance with data protection regulations (e.g., GDPR), ensuring unbiased and fair attribute extraction.
Disruptiveness
Significantly improves the shopping experience by enhancing product metadata, thus driving sales and user satisfaction.
Check out our related research summary: here.
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