Intelligent support through AI-powered ticket analysis

Service reimagined: Faster service decisions in the consumer goods sector

Service organizations today face growing complexity. Customers expect fast, clear, and well‑informed responses, while ticket volumes increase and more and more information needs to be taken into account. Especially in the consumer goods industry, where numerous product‑related inquiries and complaints are received every day, this expectation becomes particularly visible. Modern CRM and service platforms do provide a wealth of data, but the intelligent connection between these pieces of information is often missing. Yet this very step determines how efficiently a case can be handled.

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Abb. 1: Kompakte Fallansicht für schnellere, besser informierte Serviceentscheidungen.

Our AI‑based ticket analysis closes this gap. It can be integrated flexibly into existing service environments and turns every ticket into a place where relationships become visible, sentiment is recognized, and research efforts are significantly reduced. Employees automatically receive the information they truly need – at exactly the right moment.

Intelligent analysis directly in the ticket

The application examines each case comprehensively and makes the most important insights visible at a glance. This creates clarity and relieves employees in their day‑to‑day work.

Key capabilities include:

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1. Automatic detection of ticket trends

The solution highlights when ticket volumes rise unusually or deviate from the expected course. This makes it possible to identify developments at an early stage and interpret them more accurately.

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2. Check of customer master data

Missing details such as phone number, email address, or name are identified and presented clearly. This improves data quality across the entire system.

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3. Analysis of customer sentiment

The latest message is evaluated semantically so it becomes clear whether a request is phrased in a neutral, positive, or critical way. This enables an empathetic and appropriate response, which is a key element of service quality in the consumer goods sector.

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4. Automatic evaluation of product photos Especially for product‑related complaints in the consumer goods industry, best‑before dates, batch numbers, product names, and geodata are highly relevant. This information can now be extracted automatically and placed in a meaningful context. The resulting insights make further processing of the case significantly more effective. (see Fig. 2)
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5. Identification of similar historical cases The application finds the most relevant comparable cases and provides concise summaries, so that existing knowledge becomes immediately usable and relationships between individual cases can be clearly recognized. It is also possible to jump directly into one of these cases, ensuring simple and intuitive handling. (see Fig. 3)
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Fig. 2: Automatic image analysis of product photos for faster case processing.
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Fig. 3: Similar cases with relevance scores for quick orientation in the service process.

A service copilot that thinks along in the background

In addition to the analysis, an interactive chat copilot is available that interacts with employees in real time. The copilot is aware of case details, product‑related information, and relevant guidelines and can derive concrete suggestions from them.

Responses appear continuously within the interface, creating a natural dialogue. The copilot supports case evaluation, provides recommendations, and helps formulate replies. As a result, the ticket becomes a productive workspace where humans and AI collaborate on a solution.

Modern service that delivers lasting relief

The combination of analysis, automation, and an interactive copilot results in a service process that is faster, more consistent, and more data‑driven than traditional ticket handling. Employees gain time and orientation, while companies benefit from higher data quality and more stable processes.

The solution can be seamlessly integrated into various CRM and service platforms and forms a contemporary foundation for modern, efficient service operations.

Anyone who would like to experience how AI can concretely simplify day‑to‑day service in their own company is welcome to request a personal demo from us – practical, easy to understand, and directly based on their own cases.

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