How Emixa created a 3D-model search engine for packaging company conTeyor
Manufacturing
• How can conTeyor save time in designing custom packaging and storage solutions?
• How can the company repurpose its vast database of past projects?
• How can it unlock its knowledge and transfer it to new hires?
• Working prototype of a 3D-model search engine
• Custom-made technology that extracts information from conTeyor's expansive database
• User-friendly app for conTeyor's designers and engineers
Emixa created a 3D-model search engine for packaging company conTeyor
conTeyor is a state-of-the-art packaging and storage solution provider. The company has 28+ years of experience developing and manufacturing patented, sustainable, and returnable packaging and storage solutions. It makes custom logistics carriers to transport products, based on 3D models of clients' products. conTeyor has ambitious growth targets and has hired many new designers and engineers.
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 great deal of time and make knowledge from past projects widely available throughout the fast-growing company.
With this question in mind, the company entered the Emixa Advanced Analytics Hackathon, in which a team of consultants would try to build this in 48 hours. Ambitious? You bet!
Keys to success
In the weeks before the Hackathon, the team of consultants began 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 the team to support them with insights and data during the Hackathon?
During the 48-hour Hackathon, the team of consultants, data scientists, and developers got to work. They took a client's 3D model and ran it through the entire database, scanning for past projects with similar dimensions. Could they find a look-alike from, say, China or Mexico?
Our team also built an app to make the information easily available for conTeyor's engineers.
Results
With the data available, some smart programming in Python, and 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."
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