Fashion-Tech Startup Launches On-Demand Manufacturing for Small Runs

Fashion-Tech Startup Launches On-Demand Manufacturing for Small Runs

Fashion-Tech Startup Launches On-Demand Manufacturing for Small Runs

NEW YORK, NY – November 25, 2025 – StitchFlow Technologies today announced the commercial launch of its digital manufacturing platform that enables fashion designers and emerging brands to produce apparel runs as small as 50 units with turnaround times of 72 hours, addressing chronic overproduction that cost the industry $70 billion to $140 billion in lost sales during 2023 alone.

The platform’s debut marks a critical intervention in an apparel market valued at $1.75 trillion in 2024, where legacy manufacturing models have created a sustainability crisis. According to recent industry analysis, fashion brands produced between 2.5 billion and 5 billion excess garments in 2023, with unsold inventory representing 20 to 30 percent of total annual production. StitchFlow’s proprietary system integrates directly with e-commerce platforms to trigger production only after customer purchase, eliminating inventory risk.

“Traditional manufacturing operates on a gamble—make 10,000 units, pray you sell 7,000,” said Dr. Sarah Chen, co-founder and CEO of StitchFlow. “We’ve reversed that model. Our technology makes small-batch production economically viable by connecting microfactory networks to real-time consumer demand, cutting waste by up to 90 percent while reducing capital requirements for designers by over 80 percent.”

The StitchFlow platform employs computer vision-assisted pattern digitization, automated marker-making algorithms, and a distributed network of 12 microfactories across North America. The system can route orders to the optimal facility based on capacity, material availability, and proximity to the end customer. Production data shows the technology reduces material waste to 3.2 percent compared to the industry average of 16 percent, while enabling per-unit costs competitive with overseas bulk manufacturing for runs under 500 pieces.

Manufacturing partners in the network utilize digital textile printing, robotic cutting tables, and modular sewing cells that can be reconfigured within 30 minutes. This flexibility allows StitchFlow to offer 48-hour sampling and three-week production cycles for boutique collections that previously required four-month lead times from overseas factories. The platform currently supports woven apparel, knitwear, and accessories, with expansion into technical outerwear planned for Q2 2026.

Market adoption data indicates strong demand from direct-to-consumer brands and independent designers. The global on-demand apparel manufacturing sector reached $5.82 billion in 2024, growing at 14 percent annually as sustainability regulations tighten and consumer preferences shift toward customization. StitchFlow’s pilot program with 35 brands over six months yielded a 94 percent sell-through rate—compared to the industry average of 60 to 70 percent—while returning profit margins 12 percentage points higher than traditional wholesale models.

The company has secured $8.3 million in Series A funding led by Gradient Ventures, with participation from fashion-specific investors including Forerunner Ventures and the New York Fashion Tech Fund. StitchFlow will use the capital to expand its microfactory footprint to 25 locations by year-end 2026 and develop AI-driven demand forecasting tools that integrate with social commerce platforms.

StitchFlow Technologies, founded in 2023 by Dr. Sarah Chen and CTO Raj Patel, develops software-driven manufacturing solutions for the fashion industry. The company’s platform connects independent designers and emerging brands with a network of automated microfactories capable of producing apparel runs from 50 to 5,000 units. Headquartered in New York, StitchFlow is backed by Gradient Ventures, Forerunner Ventures, and the New York Fashion Tech Fund.

Media Contact

Sarha Al-Mansoori
Director of Corporate Communications
G42
Email: media@g42.ai
Phone: +971 2555 0100
Website: www.g42.ai