Business Challenges
ConTeyor developed a new option to automatically design a carrier, using a client's 3D product model. However, creating these designs is still quite time-consuming. ConTeyor's engineers need to fill in multiple parameters, such as size and number of compartments.
What if we unlock conTeyor's entire database of past projects to find 3D models with similar dimensions? This would save engineers a lot of time and make knowledge from past projects widely available throughout the fast-growing company.
With this question in mind, the company enters the Emixa Advanced Analytics Hackathon, in which a team of consultants will try and build this in 48 hours. Ambitious? You bet!
Keys to Success
In the weeks before the Hackathon, our team of consultants start preparations together with conTeyor. What is the business value of designing this solution? What is the quality of the data the search engine will be using? Who could join our team to support them with insights and data during the Hackathon?
During the 48-hour Hackathon, our team of consultants, data scientists, and developers gets to work. They take a client's 3D model and run it through the entire database, scanning for past projects with similar dimensions. Can we find a look-a-like from say, China or Mexico?
Our team also builds an app to make the information easily available for conTeyor's engineers.
Results
With the data available, some smart programming in Python, and developing a user-friendly app, the team managed to create a working prototype in 48 hours. It proved the search-engine concept can work. ConTeyor's team was amazed at how much had been achieved in 48 hours.
How Emixa created a 3D-model search engine for packaging company conTeyor
"We didn’t think we could achieve so much in 48 hours. We thought it was too ambitious. But you can see what a small team with talented people can achieve in a short time. We took the first step, and the only way is up."
Frederik Verscheure
IT Team Member at conTeyor