Case Study: AI Slashes Quote Time by 75%

In the world of manufacturing and specialized services, the quotation was never just a price tag—it was the first impression of operational excellence. Yet, for years, this critical step served as a massive bottleneck for our family business.

During our tenure, we reached a major milestone with what we called the Fast Quote AI Project. It was a story of persistence, strategic partnerships, and the realization that "the way we had always done it" was costing us more than we ever imagined.

The Invisible Productivity Leak

The seed for this project was planted back in 2017. At that time, generating a quote for our complex products was a grueling manual task that consumed anywhere from 1 to 1.5 days per request.

When we looked closer at the data, the reality was even more jarring. Our quote success rate sat at roughly 30%. This meant that 70% of our technical team's time spent on quotations was essentially unproductive effort. We were pouring hundreds of hours into prospects that wouldn't convert, simply because the manual complexity of the process demanded it.

Internal limitations kept the idea on the shelf for two years, but the bottleneck remained. We knew that to scale the business, we had to find a way to decouple our growth from manual labor.

Bridging Academia and Industry

The breakthrough came in 2019. After attending a seminar on the APR Intern Program, we saw a path forward. We didn't just need a software developer; we needed a researcher who could handle the complexity of our product logic.

We partnered with a PhD student from the University of Adelaide. This collaboration was the turning point. By bridging the gap between high-level academic theory and practical industrial application, we were able to develop a functioning pilot model. The "mere concept" from 2017 finally gained a heartbeat.

From Pilot to User-Friendly Reality

A powerful algorithm was only useful if our team actually enjoyed using it. Once the AI logic was validated in the pilot phase, we shifted our focus to the "last mile" of implementation.

Working alongside our local IT and software development partners, we wrapped the AI in a user-friendly interface. We didn't want a "black box"; we wanted a tool that empowered our staff to make decisions faster. Our goal was to ensure that the transition from a manual spreadsheet-heavy workflow to an AI-driven one was as seamless as possible.

The Result: 3 hours vs. 1.5 Days

The impact of the Fast Quote AI Project was transformative. By automating the most complex parts of the calculation logic, we reduced the time required for a complex quote from over a day to just three hours.

This wasn't just about speed; it was about:

• Capacity: Our team was able to handle a higher volume of inquiries without increasing headcount.
• Accuracy: Reducing manual entry minimized the risk of costly errors in complex builds.
• Customer Experience: In a competitive market, being the first to provide a professional, accurate quote was often the deciding factor in winning the contract.

A Legacy of Innovation

Our journey proved that AI was not just for tech giants; it was a "bottleneck killer" for local businesses facing real-world operational challenges. By the time our family sold the business in 2025, this system had become a cornerstone of our operational efficiency.

The transformative potential of AI was no longer a future concept—it became a reality that allowed us to scale and improve our process.