Staircraft was inundated by requests for timber floor designs and quotes each week, all demanding fast turn-around. This fast-moving sales and complex design process had a significant bottleneck: Staircraft’s capacity to provide floor designs and quotes to new customers was limited by the amount of designers. On a good day, an experienced designer could produce 2-3 designs. But high demand and the inability to produce the most efficient designs resulted in lost opportunities and revenue.

Overcoming this operational and growth bottleneck to align floor and stair design productivity without automation would mean tripling Staircraft’s design team. This wasn’t practical or ideal for many reasons:

• Talent shortage – it’s hard to attract qualified designers who are happy to stay designers long-term, meaning staff turn around
• Efficiency plateau: human designers might produce effective designs, but this doesn’t mean they are always efficient: resulting in wasted materials, inflated costs and environmental impact.
• Limited productivity: there’s only so many designs that even an expert designer can produce in a day

These factors limited Staircraft’s growth and highlighted the need for an automated and scalable solution. Staircraft chose to combine their expertise in construction with Brainpool’s expertise in AI to develop an AI-driven solution that could help overcome this productivity, efficiency, and growth obstacle.

That solution is Daisy.