Minky Couture is deepening its focus on intelligent retail and large-scale philanthropy by using Domo’s AI and Data Products Platform to connect every part of its fast-growing blanket business with its nationwide giving mission. The move is designed to help the Utah retailer keep scaling its operations and its NICU-focused Heart of Minky program across the United States and beyond.
How Domo fits into Minky Couture’s growth
Minky Couture is implementing Domo as an AI-powered “business orchestration layer” that pulls together data from inventory, supply chain, marketing, finance, logistics, and store operations into a single, actionable view. This unified approach helps teams move away from static spreadsheets and toward near real-time dashboards that guide planning, staffing, promotions, and purchasing decisions.
With Domo, Minky Couture can build governed data products that:
- Track operational performance across e-commerce and stores.
- Optimize inventory movement so the right blankets are in the right place at the right time.
- Improve forecasting accuracy for seasonal and gifting-heavy peaks.
- Reduce manual reporting work so teams can focus on strategy and community programs.
A charitable engine: Heart of Minky
In 2025, the Heart of Minky program donated more than 155,000 blankets, with a retail value of over 5.5 million, to families and organizations across the Country. The company’s NICU-centered giving now reaches all 50 states and more than 300 hospitals, with many locations receiving multiple deliveries throughout the year.
By pairing Domo’s analytics with these commitments, Minky Couture can better forecast where donations are needed, plan logistics for hospital deliveries, and protect budget and inventory for philanthropic initiatives even as retail demand grows. This creates a direct link between operational efficiency and the company’s ability to comfort more families in crisis moments.
What leaders are saying about the partnership
Mark Boothe, Chief Marketing Officer at Domo, said “Minky Couture has a powerful mission and a remarkable story,” noting that the brand is “building a fast-growing retail brand while giving comfort to families when they need it most.” He connected the work with Domo For Good, which focuses on putting data to work for organizations making a social impact.
Sandi Hendry, CEO and Founder of Minky Couture, said the company’s “purpose has always been bigger than blankets,” emphasizing that they exist to bring comfort not only to retail customers but also to “families in hospitals and people going through difficult moments.” She added that Domo gives the team the “clarity and confidence” needed to run the business efficiently and expand its reach in “more meaningful ways.”
From handmade hospital blanket to global comfort brand
Minky Couture began when Sandi Hendry created a handmade blanket for her daughter while she was in the hospital, a personal experience that inspired the brand’s ongoing NICU and hospital focus. That origin story now lives on in a national and international business known for ultra-soft Minky fabric, thoughtful design, and its signature HUGS blanket.
Today, Minky Couture blankets and home goods are sold through retail stores and online, reaching customers across the United States and internationally while keeping hospital donations central to the brand identity. The company positions every product as an extension of its mission to deliver warmth, connection, and emotional comfort to people facing difficult times.
Inside the Domo platform advantage
The Domo platform is built to help businesses of all sizes prepare, visualize, automate, and operationalize data through AI and governed data products. Companies can use Domo to hydrate their data foundation, build embedded applications, and deploy AI models from various providers, all inside a single ecosystem.
For Minky Couture, this means:
- Faster access to performance metrics for executives and frontline teams.
- The ability to share insights across departments without complex technical steps.
- A scalable framework to experiment with AI use cases while maintaining controls and governance.
