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How Emixa Created a 3D-Model Search Engine for Packaging Company conTeyor
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Business Challenges
• 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?
Keys to Success
• Creative and smart team of consultants goes the extra mile in 48 hours
• Close collaboration with conTeyor's team
• Using different technologies to extract information
Results
• 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 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.
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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."
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