Predictive Maintenance
Prevent machine and vehicle defects with predictive maintenance methods.
AI for SMEs
AI for SMEs
We help medium-sized companies effectively use Data and AI to optimize processes, reduce costs, and unlock new business opportunities.
Trusted by Industry LEaders
Your Experts for Artificial Intelligence in SMEs
Artificial Intelligence
(AI) in SMEs
Medium-sized companies are facing a technological revolution driven by the use of Artificial Intelligence (AI). The integration of AI in SMEs offers a multitude of advantages, ranging from increased efficiency and cost reduction to the creation of new business models. AI in SMEs is the key to optimizing business processes and enhancing competitiveness.
AI in SMEs unfolds its full potential in various business areas. In marketing and sales, it enables precise customer segmentation, identifies upselling potentials, and recognizes customers at risk of churning. These data can be used to optimize pricing and create personalized advertisements to offer customers exactly what they are looking for.
In customer service, AI in SMEs revolutionizes the use of CustomGPT, individualized Chatbots, and language models, enabling significant efficiency gains. In production, algorithms predict maintenance needs and automatically detect quality deficiencies, leading to substantial improvements in production processes. Additionally, analyzing customer demand enables optimal planning of production quantities.
The continuous analysis of business data through AI in SMEs allows companies to gain valuable insights that contribute to optimizing business strategies and identifying new business opportunities. This leads to increased efficiency and strengthens competitiveness.
Harness the full potential of AI for medium-sized companies. Consult with our experts on individual solutions such as predictive analytics, process automation, data integration, or personalized recommendation systems. With AI in SMEs, you ensure a decisive competitive advantage in the long term.
Use cases of data science
and AI in SMEs
KPI Forecast
Make decisions based on reliable forecasts of your KPIs such as sales, turnover, costs, liquidity or EBIT.
Sales Forecast
Optimize your marketing, ordering and production decisions based on reliable sales forecasts.
Customer Churn
Identify customers who are willing to churn so that appropriate countermeasures can be taken in good time.
Product Recommendations
Help your customers find what they are looking for with personalized product recommendations.
Sentiment Analysis
Automatically recognize the mood and content of social media posts, customer reviews or emails.
Quality Control
With data science and AI, you can identify quality defects in products or individual batches at an early stage.
Process Optimization
With data science and AI you increase the efficiency and transparency of your production processes.
How Artificial Intelligence (AI) Adds Value to SMEs
The use of AI in SMEs (small and medium-sized enterprises) drives profound changes and opens up unprecedented possibilities. By integrating AI into SMEs, companies can increase the efficiency of numerous processes, improve the quality of their services, and optimize the customer experience. With a suitable AI strategy, AI training measures, external AI consulting, and tailored data science consulting, SMEs can elevate their business processes to the next level.
AI for SMEs plays a crucial role in predictive maintenance and quality management to minimize downtime and increase reliability. Continuous analysis of machine data enables AI to detect potential problems early and suggest maintenance measures before failures occur. This increases machine reliability and lifespan, significantly reducing maintenance costs. AI for SMEs also enables the optimization of business processes and improves decision-making. Through AI-based analyses, companies can utilize their resources more efficiently, thus reducing costs and increasing competitiveness.
A particularly exciting application of AI for medium-sized companies is process automation. Artificial Intelligence can help medium-sized companies automate manual tasks in areas such as order processing, inventory management, and customer support. This leads to increased efficiency and minimized errors. AI in SMEs results in significant time and cost savings and contributes significantly to enhancing competitiveness and customer satisfaction. At the same time, it gives employees more freedom for value-adding activities, ultimately increasing 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.
Prediction of Online Upselling
In this project, we developed a model capable of predicting users' affinity for a specific online product with high probability.
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Session Data Analysis
To evaluate user satisfaction with a search engine, log data was analyzed in this project. Through the application of machine learning, we were able to extract and evaluate search sessions.
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Deep Learning Training
To prepare our client from the research and development sector for working with the latest machine learning methods, we planned and conducted a specialized deep learning bootcamp together with them. The development and execution of this specialized training took a total of two weeks.
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Social Media recruiting with NLP
As part of the project, a system for the automatic identification of candidates for job postings was implemented and extended to generate job postings.
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AI-based handwriting recognition
In this project, we developed an AI-based solution to support human work by automatically recognizing and digitizing hard-to-read handwriting.
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Tagging with the help of Deep Learning
For the Städel Museum in Frankfurt, we developed a deep learning model that predicts tags for artworks.
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Improved recommendations for scholarly literature using GenAI
By using a specially pre-trained language model, the search results on the website of a provider of legal texts in the field of tax law were significantly improved.
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Development of a Data Strategy
We helped our client develop a clear and actionable data strategy, with which all business processes can be optimized through effective data usage and AI integration.
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AI in education: creating and evaluating texts more efficiently
In a PoC for an educational service provider, we showed that assessment and text creation processes can be automated and standardised with AI, which reduces the workload of teachers and can sustainably optimise the learning experience of students.
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AI Strategy: How companies identify their top AI Use Cases
By developing an AI roadmap, we helped our client to identify value-adding and realisable use cases for their future AI ambitions.
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Strategically develop and execute AI use cases
By developing a standardized AI Use Case Management Framework, we helped our client achieve tangible project results and prepare for long-term success in AI implementation.
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Optimizing Revenue Streams: Vendor Selection for AI-Based Product Recommendations
We assisted our client, a large German media company, in optimizing their video streaming platform as a revenue source. By developing a vendor assessment, we were able to find the best provider for AI-based product recommendation services and save 50% of the estimated costs.
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Our strength
Our ecosystem enables a holistic view of data & AI.
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Tools, Partner & Technology
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
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.
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Securing Advantages with Artificial Intelligence in SMEs
By analyzing large data sets using Artificial Intelligence in SMEs, companies can gain valuable insights that contribute to optimizing processes and developing innovative solutions. This data-driven approach enables medium-sized companies to make informed decisions and increase their efficiency.
One crucial application of Artificial Intelligence in SMEs is the optimization of business processes. By evaluating data from various sources, bottlenecks and inefficiencies can be identified and resolved. This leads to more efficient production and better utilization of resources.
Another example of using Artificial Intelligence in SMEs is personalizing the customer experience. AI algorithms analyze customer data to offer tailored services and products that are precisely aligned with customers' needs and preferences. This not only strengthens customer loyalty but also improves the market position of the companies.
The future of medium-sized companies is digital, and data and AI are the keys to this transformation. Artificial Intelligence in SMEs enables innovative services and new data-driven business models, opening up additional revenue streams. Personalized, data-driven services and offerings, supported by AI in SMEs, strengthen customer loyalty and enhance the overall experience.
Leverage the expertise of statworx to revolutionize your business processes with AI for SMEs and sustainably increase your competitiveness.
Your expert for Data and AI in SMEs
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.
Frequently asked questions and answers
How can AI support medium-sized enterprises in process optimization?
AI enhances the efficiency and transparency of production processes. It allows for the early identification of quality defects and the optimization of the entire value chain, leading to cost savings and improved product quality.
What role does AI play in customer retention for medium-sized businesses?
Through precise customer segmentation and the identification of customers likely to churn, medium-sized businesses can take targeted actions to strengthen customer retention. Personalized marketing and product recommendations also contribute to customer satisfaction.
How can AI improve the forecasting of business metrics in medium-sized companies?
With the help of AI and data science, medium-sized businesses can create reliable forecasts for sales, revenue, costs, and other KPIs. These predictions support informed decision-making and strategic planning.
How does AI support maintenance in medium-sized enterprises?
Predictive maintenance with AI helps in early detection of defects in machines and vehicles and in planning maintenance activities proactively. This minimizes downtime and extends the lifespan of equipment.
