Entry into artificial intelligence at klarx

As part of the Co-Innovation Lab (CIL) at the Munich University of Applied Sciences, two students have provided an introduction to artificial intelligence for the company klarx. The project team consisted of Tobias Hetfleisch, Marc Gehring as well as Prof. Dr. Holger Günzel from Munich University of Applied Sciences, and Moritz Schmidt and Camille Raiser from the company klarx.

Tobias Hetfleisch and Marc Gehring (both Hochschule München)

A success story for all involved

During the summer semester 2020, the company klarx and students of the Munich University of Applied Sciences worked on the development and implementation of several machine learning models. The two student consultants were able to sustainably optimize the sales process of the construction machinery brokerage klarx within a very short time. Furthermore, a concept was developed by which these algorithms can be implemented in the daily business of the customer.

The consulting team analyzed the business data of the past five years so that a prototype could be developed for the customer in a very short time. This was further adapted to the customer’s individual requirements using several optimization loops. The goal of the consulting team was to differentiate itself from the previous tech giants by setting up and implementing individual solution approaches and not to offer a “one size fits all” solution.

According to Moritz Schmidt (klarx – Financial Management), the project result “represents the first step into the new and important field of artificial intelligence” and could not have been implemented in the foreseeable future without this project.

A step into the future: dynamic pricing at Neuburg’s organic hotel Aussicht

The team of consultants from the Co-Innovation Lab at Munich University of Applied Sciences developed a concept for dynamic pricing for the Bio-Hotel in Neuburg an der Donau as part of an innovation project.

In the first virtual cooperation project between the Munich University of Applied Sciences and the Bio-Hotel Aussicht in Neuburg an der Donau, a three-person project team is developing a data-based price configurator called DYNO for dynamic pricing for small and medium-sized hotels within ten weeks. This enables the project partner for the first time to respond to fluctuating demand for rooms by adjusting prices flexibly. It also enables potential hotel guests to book hotel rooms at lower prices during periods of low demand.

The software solution DYNO offers the possibility to answer price inquiries quickly, easily, intuitively and to the day. A new feature is that regional factors influencing the price can be taken into account. Thus, high and low price days are identified and the software provides the user with an automatic price proposal. Through an individualized offer, the organic hotel optimizes customer satisfaction and increases its overall profitability.

Decisive for the success of the project was the customer-oriented development. DYNO is to become an everyday companion at Bio-Hotel Aussicht. “For us, the collaboration is already a complete success. DYNO is the next step in digitalization for the hotel. The project team has done a unique job, designed the software exactly to our needs and laid the foundation for an easy implementation,” says Michael Pantner, owner of Bio-Hotel Aussicht.

(from top left: Christopher Ultsch, Sia Zink, Michael Pantner and his assistant Katrin, Dominik Ganswohl, Holger Günzel).

The circumstances that accompanied the project are also unique. Due to the ongoing restrictions triggered by COVID-19, the consulting project was carried out virtually. Project manager Sia Zink summarizes: “Of course, face-to-face contact has its advantages. Through weekly online-based conferences with Michael Pantner, our project partner and lecturer Prof. Dr.-Ing. Holger Günzel and the consulting team with Christopher Ultsch and Dominik Ganswohl, we specifically promoted the exchange between all stakeholders. We have probably even increased the number of points of contact with the customer as a result of the current situation. That shows in the results.” The collaboration between the Co-Innovation Lab of the University of Applied Sciences Munich and the Bio-Hotel Aussicht sets an example for innovative student consulting services and dynamic pricing for small hotel providers.

Digitizing Munich’s Used Clothing Drives – The Co-Innovation Lab Makes Recycling Fit for the Future

Students at Munich University of Applied Sciences are paving the way for digitization in municipal used clothing collection and enabling plannable recycling with the help of the Internet of Things and artificial intelligence.

Munich: Students in close contact with the collection of old clothes. If you want to achieve change and sustainability, you have to enter the field of the current situation yourself. Marlene Piper during her accompaniment of the old clothes collection.

As part of a student consulting project of the Co-Innovation Lab at the Munich University of Applied Sciences, an interdisciplinary team of students developed a holistic concept for emptying used clothing containers at the Abfallwirtschaftsbetrieb München (AWM) in line with demand. The aim was to optimize the previously rigid emptying schedule, which takes into account the respective emptying requirements of the containers, and thus to improve the quality of the clothing and make more efficient use of existing resources. The focus was thus on moving toward digitization with the help of the Internet of Things (IoT), thereby creating data-based, demand-driven planability with a digital planning tool.

The team consisted of students from three degree programs at Munich University of Applied Sciences and was divided into a consulting team consisting of Mahboob Elahi Noor, Gilbert Muhumuza and Marlene Piper and a development team consisting of industrial engineering students Agnesa Xhemaili, Majlinda Sllamniku and Stefan An. Prof. Dr. Holger Günzel and Prof. Dr. Olav Hinz assisted the team as coaches.

The client Rudolph Schmid (department head of bulky waste and depot container collection AWM) was impressed by the solution that was finally presented: “From the department’s point of view, all requirements for the project, which was presented in an exciting presentation, were exceeded.”