Koya AI provides e-commerce data solutions that automate the collection, normalization, and enrichment of product data through machine learning algorithms, ensuring accurate and organized datasets. This technology reduces the time spent on catalog updates and improves product attribute completion, enhancing conversion rates and customer experience for marketplaces and procurement platforms.
Funding
$3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
E-commerce marketplaces and procurement platforms face challenges in managing extensive product catalogs due to inconsistent data formats, missing attributes, and duplicate listings across various suppliers. Manually standardizing and enriching this data is time-consuming and prone to errors, leading to poor search results and reduced conversion rates.
Solution
Koya AI offers an e-commerce data solution that automates the collection, normalization, and enrichment of product data using machine learning. The platform gathers data from diverse sources, standardizes it into a unified format, removes duplicate entries, and fills in missing product attributes. By providing clean, organized, and enriched product data, Koya AI enables marketplaces and procurement platforms to improve search accuracy, enhance product discovery, and increase conversion rates.
Target Audience
Koya AI primarily serves e-commerce marketplaces and procurement platforms that require efficient catalog data management.
Features
- Automated data collection from various sources, including CSV, PDF, Excel, and web data formats
- AI-powered product data normalization to ensure consistency across different suppliers
- Product deduplication algorithms to eliminate duplicate listings and improve data accuracy
- Data enrichment capabilities to fill in missing product attributes and enhance product descriptions
- Universal API for seamless data ingestion and delivery
- Client portal for viewing processed data and tracking data requests
- Flexible data integration to collect, normalize, and update product data
- Tailored search and recommendation algorithms to enhance customer experience