Artificial intelligence has arrived in German companies – but often only as an internal tool. At the same time, mobile apps remain underestimated as a direct channel to customers. However, it is precisely when used in combination that both technologies unfold their full potential – especially in small and medium-sized enterprises.
📊 Status in 2024: AI is here – but often without a clear strategy
According to Bitkom, 84% of companies see great potential for AI – especially in text creation, data analysis, and customer service. However, there is a lack of concrete strategies and suitable tools to harness this potential. Many small and medium-sized enterprises (SMEs) are falling by the wayside – not because of a lack of interest, but for structural reasons.
📱 Mobile apps: the underestimated link to AI
Having their own mobile apps enables companies to implement AI in a practical, user-centered, and data-efficient way:
- Chatbots & self-service directly in the app
- Personalized product recommendations based on usage patterns
- Predictive communication via push notifications
- Scalable mobile content using AI-generated creatives
This makes mobile apps not just a front end, but a real platform for AI-powered customer experiences.
🌍 International trends: Mobile creatives & marketing automation
A look at the international market shows where the journey is headed:
- According to Business of Apps, AI-powered tools already enable automated video creatives, avatars, and scalable UGC campaigns – especially for social and app marketing.
- In affiliate marketing, companies are increasingly relying on AI for analysis, content creation, and campaign optimization.
What works for large platforms can also be transferred to SMEs – with the right scaling.
🧩 Conclusion: AI + mobile = digital added value with real benefits
For decision-makers in SMEs, this means:
✅ AI is not an end in itself – it is a tool that should be used where it has a noticeable impact: close to the customer.
✅ Mobile apps offer the ideal platform for this – they are flexible, data-efficient, and brand-oriented.
✅ Those who think about both together create concrete benefits instead of isolated experiments.
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