Our first focus is on Online Marketplaces. As supply aggregators, marketplaces must also aggregate product data from their different suppliers. However most suppliers send their product data in spreadsheets, PDFs, and sometimes even email screenshots (yes, really). This data is usually significantly incomplete; so marketplaces have to find ways to fill the data gaps (either manually or by building scraping capabilities). Additionally, each supplier’s data is in a different data structure, with fields incompatible with one another. This is such an ongoing challenge that marketplaces hire operations teams to manually standardize the various datasets. The entire process is broken: it’s slow, inaccurate and operationally intensive. All of this results in poor search results, duplicate products, and irrelevant recommendations. In other words, frustrating shopping experiences for users.
Koya is working closely with a select few fast-growing marketplaces. We leverage Machine Learning to help marketplaces clean, normalize, and enrich their product data. Instead of needing to build in-house scrapers or email catalog PDFs back-and-forth, a marketplace will simply use Koya’s e-commerce data layer. We are building the infrastructure for marketplaces to seamlessly integrate product data with all their suppliers.
Koya’s offering has two components: the Data Engine and the customer-facing Product Platform. Our Platform product is how we envision our customers will interact with Koya, helping them share feedback critical to improving our ML models, gain a better understanding of their product data, and manage usage. Our data science/BE stack is mainly in Python, and we have a preference for React for the FE.
Bad Data is the biggest unsolved challenge in e-commerce. Today, product data is a complex mess, leading to frustrating shopping experiences for users, and costing e-commerce companies $90B every year.
At Koya, we’re on a mission to organize, simplify, and accelerate commerce, creating the best commerce data in the world. Our vision is to build the data layer that powers the seamless flow of commerce, setting the standard for product data while building infrastructure for its traversal.
We are a small, fast-moving team passionate about solving the biggest challenge in e-commerce, through impactful data and product solutions. Founded by Henrique de Freitas (CEO) and Andre Mendes (CTO), we combine deep data and ML expertise with a track record of launching and scaling products with data at the core.