Case Study: Everlane achieves agile, data-driven growth and faster decisions with Chartio

Everlane - Customer Case Study

Everlane, an online retailer that designs, manufactures, and sells luxury clothing with transparent pricing, was growing rapidly and needed to manage many disparate data sources (MySQL, PostgreSQL, Redshift, web apps, and CSVs), onboard new employees quickly, empower non‑SQL users, support data scientists, and handle intense seasonal demand without overloading engineering.

Using Chartio, Everlane unified and blended data across sources, joined CSV test lists with sales data, and built custom columns and interactive dashboards for marketing scenario planning and customer‑experience operations. The result: faster, near‑real‑time insights, reduced dependence on engineering, more autonomous teams (including temporary CX agents), and continual adaptability of data models—saving time and money while improving decision speed.

Everlane

Scott Breudecheck

Lead Data Scientist