Many of today's office buildings suffer from inefficient energy management caused by missing, outdated, or fragmented systems. This results in unnecessary energy consumption and increased operating costs.
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IoT solutions for the hospital and healthcare sector
IoT solutions in the hospital and healthcare sector
Prozess
01
Research &
Interviews
Interviews
We analysed market needs, customer problems and developed a business model.
02
Feature scope
& wireframes
& wireframes
Defining high-priority functions in collaboration with stakeholders and creating wireframes
03
MVP design
& development
& development
Design of a user-friendly interface, and development of the backend.
04
Entwicklung & Markteinführung
Introduction of the MVPs with pilot customers whose feedback was used for product refinement and function validation.
ProCess
01
Recherche &
Business Model
Business Model
Wir analysierten Marktbedürfnisse, Kundenprobleme und entwickelten ein Geschäftsmodell.
02
Feature Scope
& Wireframes
& Wireframes
Definition von High-Priority Funktionen in Zusammenarbeit mit Stakeholdern und Erstellung von Wireframes
03
MVP Design
& Entwicklung
& Entwicklung
Design einer benutzerfreundlichen Oberfläche, und Entwicklung des Backends.
04
Rollout
& Kundenfeedback
& Kundenfeedback
Einführung des MVPs mit Pilotkunden, deren Feedback zur Produktverfeinerung und Funktionsvalidierung genutzt wurde.
ProCESS
01
Initial research
User and stakeholder research through the use of personas, user journey maps, and interviews.
02
Business modeling
Definition of value creation, business model and planning.
03
Scope & prototyping
Defining the feature set for the MVP, specifying the functionality, and collecting feedback
04
Technical feasibility
Technical feasibility, cost assessment and implementation planning
PROCESS
01
User interviews
Conducting interviews with experts to identify pain points in manual workflows
02
Prototyping
Design of the first prototypes to validate the concept
03
Usability testing
Conducting interviews to collect feedback and identify issues
04
Implementation
Develop an MVP and publish it for the first user to collect feedback
Challenges
Solution
In a test phase lasting several weeks, triebwerk.ai installed over 200 sensors that recorded data on heat, humidity, lighting and movement. This data was then analyzed by the data science team to identify recurring patterns and anomalies. Based on these findings, the engineering team developed a prototype (MVP) with a real-time dashboard and an AI algorithm to predict space usage.
Business Impact
The introduction of MVPs enabled a transparent presentation of the collected data and an effective prediction of the use of space. This solution immediately identified defective temperature controllers and prevented faulty heating and lighting periods in the medium term, which led to a significant improvement in energy efficiency. As a result, operating costs were reduced and the ecological footprint was reduced.
“With the support of triebwerk.ai, the implementation of AI and sensors enabled immediate optimization of energy consumption and a significant reduction in operating costs. ”
Boris Libeert
CEO @Snuk
Julian Speckmaier
Head of Business Strategy
30 mins
Free consultation with our experts
We help you to examine strengths and weaknesses in terms of data and AI requirements in the company with the aim of identifying relevant problems and identifying promising potential for AI.
