AI offerings for sales and customer service

Would you like to take your sales processes to the next level and identify customer needs even faster and more accurately? Do you want to save valuable time spent manually reviewing requests for proposals, specifications, or bid documents, and instead focus that time where it really matters—with the customer?

From identifying new market and customer potential to the automated processing of tenders and contracts, all the way to AI agents in customer service: We support you every step of the way, from the initial use case identification to productive
deployment. We rely on modern AI technologies such as Retrieval-Augmented Generation (RAG) and agent systems to integrate generative AI into your sales operations in a secure, context-sensitive, and economically sound manner. Across industries and tailored precisely to your individual requirements.

  • Impactful AI adoption: We start with use cases that deliver measurable value quickly.
  • New potential: We use data to identify your market opportunities, suitable customer segments, and cross-selling options.
  • Trust through transparency: Clear governance, traceability, and responsible AI use from the very beginning.
  • Customer retention: Our AI agents take the load off your teams and ensure consistent service quality.
  • Planning certainty: We enable data-driven pricing and realistic sales forecasts.

 

Contact us now

Identifying AI opportunities

Use case evaluation and prioritization

From concept to pilot project: Through AI shadowing, we support your teams, identify AI opportunities, and prioritize use cases.

Processing of sales inquiries

Automated quote generation

AI-powered processing of unstructured customer inquiries, RFQs, and complex specifications.

Data-driven pricing

Price optimization for maximum margins

Our AI analyzes historical quote and price data to help you make informed pricing decisions and maximize margins.

Contract management

Contract drafting and optimization

Faster creation, automated compliance checks, and legally compliant classification using artificial intelligence.

Sales forecasts

Forecasting and sales analysis

AI analysis of sales metrics and performance drivers ensures accurate forecasts and greater planning reliability.

 

Customer service

AI agents for routine tasks

AI agents take the pressure off service teams and ensure scalable service quality—around the clock.

Generative AI in sales

Integration of RAG and agent systems

With our scalable AI architectures, you can integrate generative AI seamlessly, transparently, and contextually into your processes.

 

Do you need a customised AI solution?

We would be happy to advise you without obligation and develop a solution specifically for your use case.

 

These AI solutions were developed at the Fraunhofer Heilbronn Research and Innovation Center (HNFIZ), with funding from the Dieter Schwarz Foundation.

At the Research and Innovation Center Hybrid Artificial Intelligence, Fraunhofer IAIS and Fraunhofer IAO are conducting research on hybrid AI technologies that combine machine learning, domain knowledge, and logical reasoning.

White paper

Artificial Intelligence in Sales

This white paper provides practical insights into how companies can use AI to address the challenges of a dynamic market environment. It explores the transformation of traditional sales models, the new role of salespeople as strategic relationship managers, and the economic potential of AI-powered systems.

Using concrete real-world examples and the innovative approach of AI shadowing, it illustrates how AI offers benefits throughout all phases of the sales process: with data-driven analytics, automated workflows, and intelligent assistance systems.

Study

Understanding and Using AI Agents

Between Hype and Reality: There is often uncertainty surrounding the practical implementation of AI agents. Using the concept of the “Agentic Level,” companies can assess whether a system qualifies as an AI agent and identify the associated risks and opportunities. The study examines a wide range of applications—from customer support to robotics control—and provides practical recommendations for successful implementation.

The white paper was produced as part of the Fraunhofer Heilbronn Research and Innovation Centers (HNFIZ).

Contact

 

Dr. Sven Heuser

Head of business area
Intelligent process automation


“By using AI in process optimization, we can not only increase productivity, but also improve the quality of the results. This leads to more sustainable and customer-oriented solutions.”

 

Franz von Rigal

AI expert in sales

 

“Our AI analyzes all price-relevant data available within the company to generate margin-optimized pricing recommendations while also taking into account the likelihood of a sale.”