LLMs are no longer just a topic for tech departments—they are increasingly transforming sales as well. According to a recent study by HDE and Safaric Consulting (AI Index 2025), around 90% of the companies surveyed (with annual revenues between €50 million and €1 billion) are planning the active use of AI. But how can Large Language Models (LLMs) be used specifically in a sales environment—and where do they offer the greatest leverage? Comsysto Reply has been implementing complex e-commerce solutions for clients across all industries for over 15 years. At the same time, we analyze trends and best practices in our e-commerce lab. We share our insights here—every other Tuesday!
Why LLMs shine in sales
Sales thrives on communication—and this is exactly where LLMs play to their strengths. They understand natural language, interpret nuances, and can generate or structure text in real time. This opens up new possibilities across the entire customer journey.
1. Smart Inbox: Prioritizing customer inquiries
LLMs can automatically sort incoming emails or chat messages by urgency, sentiment, or topic . For example, an angry complaint is identified faster or an urgent reorder is forwarded immediately—without anyone having to manually search through the entire inbox. The result: shorter response times and happier customers.
2. Automated system entries from text or speech
Sales staff spend a lot of time on administrative tasks—from creating new orders to maintaining the CRM. An LLM can automatically convert meeting notes or voice messages into structured data sets, allowing it to record, for example, orders, visit reports, or warranty claims directly in the system. This saves time—and creates space for more customer conversations.
3. Personalized engagement at the touch of a button
Customers from different target groups respond to different arguments. LLMs allow you to customize product descriptions, mailings, and chat responses – in terms of language, tone, and content. This turns a standard message into personalized communication that scales.
4. Self-service using natural language
Especially in technical sales, knowledge is gold. LLMs enable natural language search within manuals, product data, or service documentation – and provide precise summaries. This improves not only customer support but also internal efficiency.
Conclusion: Efficiency, quality – and ethics
LLMs provide support where human communication has previously been difficult to automate. They take over routine tasks, increase response speeds, and elevate the quality of customer interaction – without replacing humans. When used correctly, it creates an ethically sound and highly efficient use of AI in sales and after-sales.
That’s it for today – and here is what’s next
In the next issue, we will share initial impressions of one of our blueprint applications, which implements exactly these ideas – and demonstrates how AI relieves the burden on people without replacing them. Because one thing remains certain: People will still be buying from people tomorrow – but supported by AI.
See you in 2 weeks!
Christian & the Comsysto Reply e-Commerce Lab