Versable

Hi everyone! I’m Christina, founder of Versable.

Versable uses AI fix sparse and messy catalogs in high-value, high pain legacy industries. Our first focus is the $500B auto aftermarket.

🧩 The problem: bad product data costs sales and is hard to fix

• Bad product data leads to lost sales, slow time to market, and high return rates, especially in the aftermarket where accuracy is critical.
• Most aftermarket catalogs were built decades ago and are not designed for modern digital demands. Product data lives in silos, lacks standardization, and requires deep domain expertise to classify correctly.
• Today, teams of catalog managers manually onboard, audit, and update product content for millions of SKUs, causing weeks of delay before a part can start generating sales.

🔧 Why Versable solves this 10x better than status quo

• Versable is the only tool built specifically to accommodate the technical complexity and massive scale required in industrial and aftermarket applications. We use context aware and domain specific AI to automatically clean, standardize, and enrich product data with precision.

• With just a part number, Versable generates market-ready titles, product descriptions, and specs in any required format. This means our customers are able to sell more, faster, and across more platforms than ever before.

🙏 Our Ask

We’d love any intros to anyone managing ecommerce data at scale, especially

1. Sellers managing industrial products like auto parts
2. Sellers managing multiple marketplaces and platforms (eBay, Walmart, Amazon, etc.)
3. Service providers supporting these sellers (PIM systems/ecommerce syndicators, etc.)

Shoot me an email at tina@versable.ai!