Stora Enso, a leader in renewable packaging, wants to make packaging design and selection as easy as possible. We aim to create a digital service for our customers, designers, and sales representatives. Can you help us to create a streamlined buying process for packaging designs with the help of cutting-edge technologies?

Packaging for every purpose

The rapid growth of eCommerce is a significant driver in the increased demand for innovative and customizable packaging solutions. As a leading packaging provider, Stora Enso is at the forefront of answering customers’ increased environmental awareness and plastic replacement ambitions with fiber-based packaging.

Customer expectations are evolving to leverage packaging for brand building and engaging with end-consumers, thus demanding more opportunities to customize and select the solution for their needs.

The Packaging Solutions division provides fiber-based board materials, corrugated packaging products, and services for various applications. From thousands of packaging solutions and designs, we want to ensure the client can select the type that answers their specific need efficiently. We aim to engage the customers in our design processes and bring them closer to Stora Enso. We want to use intelligent technologies to build a collaborative platform for our community of over a hundred designers and hundreds of sales representatives and customers working together in 30 different countries.

Design, customize and choose your package

Stora Enso is an industry leader in renewable packaging, with design and customer-centricity in focus. We want to change how customers purchase packaging by creating a new digital collaboration service that utilizes intelligent technologies and algorithms.

We want the packaging design selection process to be as efficient as possible for our customers and our hundreds of product managers, designers, and sales representatives. The goal is to enable visual customization of the designs, incorporate customers into the product design process, and implement an intuitive service for multiple stakeholders. We aim to challenge the legacy purchasing processes, move increasingly towards holistic service design thinking, and enable the best possible customer experience. Read a few examples below, considering that your solutions may go above and beyond them or even be completely different.

Examples we're looking for

Machine learning, AI and smart search algorithms

They analyze the customer profile and use keywords, product images, and earlier customer decisions to suggest the exact design that answers their needs. For example, we want to create more accessible access to Stora Enso’s packaging design catalog by using deep learning and search algorithms. What do you have to offer?

Packaging visualisation tools

You are transforming from 2D drawings of the designs to photorealistic, more detailed visuals for the entire packaging product line. Do you have a solution to digitally render and create the different options of packaging designs to match the customer preferences and thus support the purchase decision?

Customer interaction solutions

Customers are increasingly seeing packaging as a brand-building tool. We are looking for AI-assisted design solutions where customers can select characteristics for their packaging, such as color, images, and logos, with a click of a button. How would you enable AI-assisted design?

Part of the global bioeconomy, Stora Enso is a leading provider of renewable products in packaging, biomaterials, and wooden construction and one of the largest private forest owners in the world. We believe that everything that is made from fossil-based materials today can be made from a tree tomorrow.
Remote Troubleshooting with Stora Enso

Remote Troubleshooting with Stora Enso

Do you have solutions for improving remote service teams and customer collaboration so that our customers will instantly get the best possible support without having specific service technicians or experts nearby?

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Safe and long-lasting buildings with Stora Enso

To build a house is a significant investment. Any investor wants their investment to last long. Any moisture, structural, or other problem will shorten the life of a building. Could these problems be predicted? And the information collected by sensors? What if those sensors could be embedded into our wooden elements?

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