Aitu Wins IFA 2025 AI Product Innovation Gold, Redefining Garment Manufacturing Worldwide

Aitu Wins 2025 IFA AI Product Innovation Gold Award: What Product Teams Can Do With It

Aitu earned the 2025 IFA AI Product Innovation Gold Award in Berlin for its application of artificial intelligence in garment production. This result signals a clear shift: AI-driven equipment, humanoid robots, and automated modules are moving from pilot talk to factory floors.

Backed by Jack Technology (Stock Code: 603337), Aitu is building AI-driven sewing equipment, humanoid robot integration, and automated production modules to push garment manufacturing toward labor-light operations. For product development leaders, this is a direct path to faster iteration, tighter quality loops, and more flexible lines.

Why this matters for product development

• Shorter sampling and changeover: AI-led scheduling and standard work modules reduce dead time between styles.
• Higher and more consistent quality: Vision-guided checks and real-time adjustments cut defects at the source.
• SKU agility: Automated cells handle higher style counts with fewer bottlenecks.
• Cost structure shift: More capex, less variable labor-plan budgets and ROI models accordingly.

Inside Aitu's approach

As a premium AI brand developed by Jack Technology, Aitu focuses on intelligent apparel production systems. The company is advancing AI-driven equipment and humanoid robots, building automated modules that reduce manual touch points.

"In the global wave of industrial intelligence, artificial intelligence is replacing traditional decision-making at lower cost and with greater speed, empowering us to respond with agility to the evolving needs of our customers. AI significantly boosts overall management efficiency, enabling businesses to stay competitive in the fast-paced garment industry," said Steven Zhang, President of Aitu. "We have achieved a groundbreaking milestone with the initial application of AI technology in B-end industrial manufacturing. Moving forward, we will keep AI as our cornerstone-deepening humanoid robot integration with intelligent apparel equipment and scaling AI-driven manufacturing across production lines worldwide. Aitu will host its global brand launch at the Shanghai Tower on September 23, 2025. Themed "AI Reinvents Sewing Machine," the event will showcase Aitu's AI-powered apparel production solutions, reshaping the landscape of the global manufacturing industry."

Product team playbook: move from idea to implementation

• Start with a bottleneck: Pick one operation with measurable pain (e.g., sleeve set, pocket attach), and run a monitored pilot cell.
• Data first: Ensure PLM, MES, and ERP can feed and receive machine, vision, and quality data. Define data ownership and retention.
• Standardize interfaces: Push for open protocols and APIs so you can swap modules without painful rewrites.
• Human-robot workflow design: Set clear hand-offs, safety zones, and exception paths. Train operators on exception handling, not just normal flow.
• Define KPIs upfront: Throughput per hour, first-pass yield, changeover time, and energy per unit. Track weekly; adjust monthly.
• Plan maintenance: Stock critical spares, schedule predictive maintenance windows, and assign a line-level "automation owner."

Risk checks before you scale

• Vendor lock-in: Get clarity on data access, on-prem vs. cloud controls, and exit terms.
• Compliance and safety: Validate guarding, CE/UL where needed, and worker training records.
• IP protection: Audit how CAD patterns, tech packs, and production data are stored and shared.
• Total cost of ownership: Model energy, maintenance, and software fees across a 3-5 year window.

Event note

Aitu will host its global brand launch at Shanghai Tower on September 23, 2025, themed "AI Reinvents Sewing Machine." If apparel AI and humanoid robot integration are on your roadmap, this is worth monitoring.

Context: IFA is one of the largest technology exhibitions. Learn more about the event at IFA Berlin.

Upskill your team: For structured learning on AI automation and product workflows, see AI Certification for AI Automation.