AI in Manufacturing

AI in Manufacturing

We help companies in the industrial manufacturing industry effectively use Data and AI to improve products and services, optimize processes, and identify new business models.

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Your Experts for AI in Manufacturing

Automation and Efficiency: How AI Drives the Industry Forward

Where the introduction of the steam engine revolutionized industrial manufacturing processes over a hundred years ago, today it is data, algorithms, and Artificial Intelli­gence (AI) that propel industrial companies forward. By generating data during the production of goods and products, manufacturing processes can be monitored, controlled, and optimized. Machine learning models predict maintenance needs for machinery or automatically identify quality deviations in your production or from supplier batches.

Automation with the help of AI in the industry brings numerous advantages. Firstly, repetitive and time-consuming tasks can be handled more efficiently, leading to significant time savings. Secondly, AI industry systems enable higher precision and reliability in task execution, minimizing errors and downtime. For example, production processes can be optimized through AI-powered Anomaly Detection. Moreover, a production that utilizes AI industry technologies can respond more flexibly to market changes and quickly adapt to new requirements – for instance, with the help of a Customer Analytics Suite.

Discover the comprehensive possibilities of AI for industries through our AI consulting and optimize your production processes today!

AI use cases in industrial manufacturing

KPI and Sales Forecasting

Make decisions based on reliable forecasts of your sales and other KPIs such as costs, liquidity or EBIT.

Predictive Maintenance

Prevent machine or vehicle failures by detecting defects and maintenance requirements at an early stage.

Supply Chain Management

Optimize your order, inventory, and production management based on demand and supply forecasts.

Quality Control

Control and optimize the quality of your products using data and artificial intelli­gence.

Optimize Production

Use AI for more process transparency, higher capacity utilization and reduced material requirements.

Anomaly Detection

Automatically detect patterns and anomalies in the process and machine data of your production lines.

Customer Churn

Identify customers who are likely to churn so that appropriate counter­measures can be taken in good time.

Digital Assistants

Enable your employees to work better informed and more efficiently with digital assistants.

Request a project now with no obligation
Non-binding initial consultation
Free situation and requirements analysis
Response within 24 hours

Artificial Intelligence (AI) & Industry: From Quality Management to Predictive Maintenance

Artificial Intelligence (AI) in the industry is playing an increasingly important role and will become even more significant in the future. AI industry systems can be used for quality control by detecting errors early and taking preventive measures. This leads to an improvement in product quality and a reduction in scrap rates. Predictive main­ten­ance through AI industry algorithms analyzes data from IoT sensors to predict potential failures and enable proactive maintenance actions.

AI is applied in many areas of the industry. In manufacturing, AI ensures more precise and faster production processes. In logistics, it optimizes supply chains and reduces inventory costs. AI can also be used in customer service for industrial companies to handle inquiries faster and more efficiently, for example, in Real-Time Customer Service Assistance. Furthermore, data analysis through AI industry appli­cations enables better decision-making and strategic planning. Minimize unplanned downtimes with our Data Science Consulting and maximize your company’s productivity.

Eine durchdachte KI-Strategie ermöglicht es Unternehmen, ihre spezifischen Ziele klar zu definieren, Anwendungsbereiche zu identifizieren und den Einsatz von KI-Technologien gezielt zu steuern. So wird sichergestellt, dass sämtliche KI-Initiativen auf die übergeordneten Unternehmensziele abgestimmt sind und eine solide Infrastruktur, verlässliche Datenbasis sowie das notwendige Fachwissen vorhanden sind. Eine strategische Planung minimiert Risiken, steigert die Akzeptanz und legt den Grundstein für nachhaltigen Erfolg mit KI.

Unsere Beratung zur KI-Strategie bildet das Fundament für die datengetriebene und KI-basierte Transformation Ihres Unternehmens. Gemeinsam erarbeiten wir, wie Sie die Transformation strategisch umsetzen und die erfolgversprechendsten Einsatzmöglichkeiten für Ihr Unternehmen auswählen können.

Implemented AI projects in industrial manufacturing

  • Industry
  • Customer Analytics

Customer Analytics Suite

In this project, we implemented a comprehensive customer analytics suite for our client, designed to support sales and marketing activities with data-driven insights in the future.

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Customer Analytics Suite
Case study
  • Industry
  • GenAI

Real-time Assistance for Customer Service: How Generative AI Revolutionizes Customer Support

With the help of generative AI, an AI tool was introduced for the automated processing of customer queries in Geberit's Customer Support.

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Real-time Assistance for Customer Service: How Generative AI Revolutionizes Customer Support
Case study
  • Industry
  • Customer Analytics

Classification of Emails in Customer Support

To enable our client to handle customer service inquiries more efficiently, we developed a system using deep learning and NLP that automatically routes emails to the appropriate departments.

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Classification of Emails in Customer Support
Case study
  • Industry
  • Anomaly Detection
  • GenAI

Optimizing Production Processes with AI-Powered Anomaly Detection

We developed a camera-based AI system that detects anomalies in production in real time, thereby increasing production speed and preventing machine damage.

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Optimizing Production Processes with AI-Powered Anomaly Detection
Case study
  • Industry
  • GenAI

ChatGPT & RAG: Uniting Knowledge Management and Generative AI

We developed and implemented an AI chatbot that combines the power of generative AI with access to the internal knowledge database (RAG).

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ChatGPT & RAG: Uniting Knowledge Management and Generative AI
Case study

Our strength

statworx is one of the leading consulting and development companies for data & AI in the German-speaking region.

We focus intensively on the interfaces between people, economy, society, environment, and AI technology.

Sebastian Heinz
Founder and CEO statworx

Our spotlight topics at a glance:

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Tools, Partner & Technology
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
DataRobot
Palantir
nvidia
ml flow
AI Hub
Airflow
Shiny
Kubernetes
Docker
Spark
Dataiku
Google Cloud Platform
R
SAP
Databricks
Tensorflow
Python
Azure
aws
PyTorch
10+

years of experience in Data Science, ML, and AI

100+

clients from 10 industries and growing

85+

experts from more than 17 fields of study

1,000+

successfully implemented Data and AI projects

Industry 4.0: Artificial Intelligence (AI) as a Success Factor

The successful implementation of AI in the industry requires careful planning, investments in infrastructure and skilled personnel, as well as addressing challen­ges such as data security and ethical issues. Our AI consultants have already implemented numerous projects for Industry 4.0 with AI and will support and advise you in the development and implementation of data science, machine learning, and AI solutions in your company. Arrange a consultation to analyze your possibilities and benefit from our experience in over 500 data and AI projects. Visit our AI Strategy page and start a successful future with Industry 4.0 Artificial Intelligence.

Additionally, statworx offers comprehensive training programs for Industry 4.0 in Artificial Intelligence (AI). Our experts help you with tailored AI Training, customized to the specific needs of your company, to prepare your employ­ees for the application of AI in the industry. Through targeted training and workshops, we ensure that your employees acquire the necessary skills to effectively use and continuously improve new technologies.

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Our services

AI Consulting

Our consulting services focus on both technical and methodological skills, data literacy, and data culture, utilizing interactive and inspiring learning methods. We provide training for beginners, specialists, and executives.

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AI Starter Offerings

Are you just beginning your data and AI journey? We offer various workshops, training sessions, and ready-to-use AI solutions that are perfect for taking the first steps with data science and AI.

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AI Solutions

We develop data science and AI solutions tailored to your require­ments. We support you from the initial idea to the productive solution and ensure smooth operation thereafter.

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AI Trainings

Whether technical or methodological skills, data literacy, or data culture - our formats rely on interactive and inspiring learning methods. We train beginners, specialists, and executives.

Learn more

Conclusion: The Future of AI in the Industry

The use of AI in the industry marks the beginning of a new era of the industrial revolution. AI in industries fundamentally changes the way companies operate and produce. Industry 4.0 AI not only offers the possibility to optimize existing processes but also opens entirely new business fields and innovation potentials. Companies that adopt AI in the industry early can secure decisive competitive advantages and strengthen their market position in the long term.

AI in the industry enables the automation of complex processes, increases efficiency, and reduces errors. In production, intelligent robots and machines are used, which optimize themselves and predict maintenance needs. Supply chains become more transparent and flexible through industry AI analyses. Additionally, predictive maintenance can minimize downtime. AI also plays a central role in quality control by detecting anomalies early. Overall, the use of AI leads to significant cost savings and higher competitiveness.

The future of AI in the industry is closely linked to the further development and integration of AI technologies. With the ongoing development of technologies such as deep learning and autonomous agents, as well as access to higher-quality data, the possibilities of AI in the industry will continue to grow. Companies will be able to make even more precise predictions, implement more efficient production processes, and develop entirely new business models. AI as an industry technology will not only change the way we produce and work but also significantly contribute to solving global challenges such as sustainability and resource efficiency.

Your expert for AI in Manufacturing

01
Free consultation

Discuss your challenges and goals in the area of Data & AI with us.

02
Tailored offer

Receive a customized and transparent offer.

03
Presentation & contract award

We present our approach to all relevant stakeholders.

04
Onboarding with project team

Our dedicated project team takes care of your needs.

Create value from Data & AI
Non-binding initial consultation
Free situation and requirements analysis
Response within 24 hours
Marcel Plaschke
Marcel Plaschke
Head of Strategy, Sales & Marketing
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Frequently asked questions and answers

How does AI contribute to automation and efficiency improvement in the industry?

AI enables the automation of repetitive and time-consuming tasks, leading to significant time savings. Additionally, AI-powered systems offer higher precision and reliability, minimizing errors and downtime.

What role does AI play in predictive maintenance in the industry?

AI analyzes data from IoT sensors to predict potential failures. This predictive maintenance prevents machine and vehicle breakdowns, enhancing operational performance and increasing production efficiency.

How does AI improve quality control in industrial manufacturing?

By analyzing production data, AI detects quality deviations early and enables preventive measures. This leads to improved product quality and reduced scrap rates.

What advantages does AI offer in supply chain management?

AI optimizes order, inventory, and production management through accurate demand and supply forecasts. This improves supply chain efficiency and allows for more flexible adaptation to market changes.

Marcel Plaschke
More questions?
Marcel Plaschke
Head of Strategy, Sales & Marketing