Case study · From the Pluris libraryReceipt no. 9016
What sucked
Walmart's fashion and apparel design team faced a development process that stretched nearly a year, a crystal-ball exercise involving dozens of sequential steps with little ability to respond to real-time trend signals.
Decisions made months in advance frequently missed the mark. The consequence: wasted inventory, missed trend windows, and a design pipeline that couldn't keep pace with fast-moving consumer demand.
What they built
Human Machines built Trend to Product, a custom multi-agent system with specialized AI agents acting as creative director, assortment planner, and trend analyst, replacing Walmart's sequential, year-long fashion design process with a unified, real-time pipeline delivering an MVP in six weeks.
What changed
18 weeks off
Months cut from Walmart's fashion design production timeline
Full org built
Trend to Product is now a dedicated internal Walmart organization, expanding across private-label categories
6 weeks to MVP
Working prototype built, tested, and validated with Walmart's design team
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