Case Study: Maev achieves data-driven operational efficiency with Daasity

Maev Fetches Data-Driven Success with Daasity’s Robust Analytics

Maev, a nationwide subscription pet food brand, needed a better way to manage data as it scaled. The team was spending too much time maintaining internal data architecture and struggling with disparate sources, inconsistent dashboards, and unclear root-cause analysis for shipping delays and thawed deliveries. They partnered with Daasity and its analytics platform to centralize data and make reporting more meaningful.

With Daasity, Maev consolidated data into one unified analytics environment with daily refreshed dashboards, including an operations dashboard that helped pinpoint shipping issues. The team discovered that UPS shipments on Thursdays caused most delays and that adding shipping insurance was more cost-effective than replacing damaged orders. By shifting shipping to Monday through Wednesday and changing its insurance approach, Maev reduced reshipments, improved margins and customer experience, and saved significant time on reporting and meetings.

Maev

Katie Spies

Co-Founder