Page 42 - FDMAsia May/Jun 2026

40 TECHNOLOGY MAY/JUN 2026 FDM ASIA | www.fdmasia.com

Government of BC

can achieve: As AI technologies become more affordable and accessible,
• Faster production cycles adoption is likely to accelerate across both large manufacturers
• Lower operational costs and smaller specialised producers.
• Reduced material waste Smart factories, intelligent supply chains, predictive analytics,

• Higher product quality and AI-assisted customisation may eventually become standard
• Better demand forecasting industry practices rather than competitive differentiators.
• Greater supply chain resilience Importantly, AI is unlikely to replace the human side of furniture
• Improved customer responsiveness making entirely. Creativity, craftsmanship, design sensibility,
and emotional understanding remain deeply human strengths.
Perhaps most importantly, AI enables manufacturers to Instead, the future will likely belong to companies that
become more agile in rapidly changing markets. successfully combine human expertise with machine intelligence.
In the past, competitive advantage in furniture manufacturing Furniture manufacturing has always been an industry
was often based primarily on scale and labour cost. In the shaped by adaptation: from handcraftsmanship to industrial

future, it may increasingly depend on how intelligently companies production, and now from traditional factories to intelligent
use data, automation, and predictive technologies. manufacturing ecosystems.
Artificial intelligence represents the next chapter in that
The AI Future evolution. And for manufacturers seeking to stay ahead in an
Artificial intelligence is still in the early stages of adoption increasingly competitive global market, it may become one
within much of the global furniture industry. Yet its influence of the most important tools of all. FDM
is already growing rapidly. ENQUIRY NO. 3201