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Editshare - Enhancing EditShare’s flow media asset management with Automated AI

Editshare - Enhancing EditShare’s flow media asset management with Automated AI

Thought leadership

Online printing upsells with AI generated insights

February 16, 2023
February 28, 2022
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The key to upgrading the printing industry: Customization at scale

Online printing entails a creative and personal investment from customers. Naturally, the platform that customizes the process at scale has immense competitive advantage.

Leverage an out-of-the-box, image recognition solution that understands visuals just like humans do, and learns unique customer preferences to recommend personalized products. Superhuman computer vision technology integrates seamlessly with printing platforms to:

- Start a conversation with your customers by removing the noise from their images

- Sort thousands of images by specific emotions, people, themes, or events to ensure easy navigation by every unique customer

- Increase platform traffic by finding the most aesthetic and emotional content from creative platforms or social networks

- Recommend printing mediums that best suit the style of an image

- Suggest personally-tailored upsells based on the customer’s buying habits

And it does all this at scale, so that every customer can enjoy their unique experience and keep coming back for more.

Our flexible and customizable computer vision solutions have much more to offer! Take a look at our detailed article for more information.

Customer details
Written by
Trisha Mandal
Edited by
Illustrated by
Xana Ramos

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Mobius Labs GmbH is receiving additional funding by the ProFIT program of the Investment Bank of Berlin. The goal of the ProFIT project “Superhuman Vision 2.0 for every application- no code, customizable, on- premise  AI solutions ” is to revolutionize the work with technical images. (f.e.) This project is co-financed by the European Fund for Regional Development (EFRE).

In the ProFIT project, we are exploring models that can recognize various objects and keywords in images and can also detect and segment these objects into specific pixel locations. Furthermore, we are investigating the application of ML algorithms on edge devices, including satellites, mobile phones, and tablets. Additionally, we will explore the combination of multiple modalities, such as audio embedded in videos and the language extracted from that audio.