Spindle provides a unified fashion operations platform that streamlines product development from label image to launch-ready specifications. Users upload a style photo and the AI-driven chatbot extracts structured data—such as material details, measurements, and cost estimates—keeping design, sourcing, and merchandising teams aligned throughout the workflow.
Funding
Funding not disclosed
Founders
Product
Problem
Fashion product development relies on fragmented files, emails, spreadsheets, and manual data entry across design, sourcing, fit, and merchandising teams, causing delays, errors, and missed margin opportunities.
Solution
Spindle provides an AI‑driven, cloud‑based workspace that ingests label photos, supplier quotes, fit notes, PDFs, and spreadsheets, then extracts structured product data such as style codes, fabrics, measurements, costs, and timelines. The platform consolidates this information into a single product record that is visible to all stakeholders, linking each style to the collection plan and automatically updating budget, margin, and launch schedules. AI continuously monitors the workflow, flags risks (e.g., late fit reviews or margin breaches), and generates buying and merchandising recommendations, while users retain final approval. The result is a streamlined end‑to‑end fashion operations process from concept to market launch.
Target Audience
Spindle is designed for fashion brands and retailers with medium to large product operations—contemporary brands (100‑500 employees), premium brands (500‑5,000 employees), and retail groups (5,000+ employees)—that need coordinated workflows across design, sourcing, quality, planning, and merchandising teams.
Features
- AI chatbot that reads label images and extracts structured style information (art number, gauge, size, materials, supplier, cost, margin, target sales)
- Automatic grouping of uploaded assets (photos, PDFs, spreadsheets) around the correct product record
- Real‑time impact view linking each decision to budget, category mix, margin, and launch dates
- Integrated fit‑round tracking with side‑seam, armhole, and length notes, plus sample ownership and handoff status
- Continuous risk monitoring and alerts for delayed tasks, margin shortfalls, or production blocks, with evidence links
- AI‑generated buying recommendations and demand forecasts that can be simulated and adjusted before approval
- Collaborative product page where designers, buyers, planners, and quality teams can comment, approve, and share technical files
- Exportable data and API hooks for existing PLM/ERP, BI, and merchandising tools