Julian Geiger
Agile Team Lead Digital Solutions
Uhlmann Pac-Systeme GmbH & Co. KG
Uhlmann Pac-Systeme GmbH & Co. KG
Software for the packaging industry
We support packaging machine manufacturers in their digital transformation: from operating and tracking software to AI-driven quality inspection and data-driven IIoT solutions.
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Customer since 2005
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The packaging industry in transition
Standard software often reaches its limits in packaging technology: highly specialized custom systems, high cycle rates, strict regulations (e.g., pharma, food), and complex, legacy software landscapes. The true value of software is realized when functions, data, and processes work in harmony and communicate effectively with one another.
In practice, typical challenges arise:
The real value for manufacturers and customers is only unlocked when data is made fully actionable through tailored software – for example, through supply chain track & trace, AI-supported inline quality inspection, or flexibly adaptable HMI controls for digital operating concepts.
Why generic.de is the right software partner for the packaging industry
We know your industry from hands-on project experience
Through our collaboration with companies like Uhlmann and our involvement in Packaging Valley, we understand how the packaging industry works – from serialization to traceability.
You start testing with real users up to 3x sooner
Thanks to our AI-driven software development, we deliver features up to 3x faster. You can start testing sooner and get real user feedback earlier – while changes are still cost-effective.
Maintainable and scalable software for years to come
We are convinced that even in the AI era, industrial software must run for decades. That is why our clean code standard applies to AI-generated code as well. For sustainable, not disposable software.
No lock-in – switching is possible at any time
The source code, concepts, designs, and the AI development environment belong to you. You could continue working with your own team tomorrow. We keep clients through results, not lock-ins.
How we can support the packaging industry with our solutions
Custom software for packaging technology becomes essential wherever machine control, line integration, serialization, and digital services need to converge within established system landscapes.
Serialization and traceability for packaging machines
Clear identification and tracking of products along the entire supply chain, right through to the end consumer. Our reference project with packaging specialist Uhlmann shows how we support them in developing highly sensitive track & trace software.
Condition and event monitoring for packaging machines
Transparency regarding machine status, line downtime, or deviations as a basis for operational decisions – from individual machines to complete packaging lines.
AI-supported quality inspection for packaging lines
Automated inline defect detection and pass/fail sorting using camera systems, deep learning models, and real-time visualization. Our case study on AI-supported process control shows how these analytics minimize manufacturing error rates and reduce the burden on inspection staff.
Maintenance and repair support for packaging machines
Use operational data to better plan maintenance and reduce unplanned downtime – especially critical for high-cycle rates and regulated environments. Link production and quality data for root cause analysis and process improvement. Learn how AI-supported analytics minimize manufacturing error rates in our process control case study.
Our references
Selected case study
Common challenges in software projects and how we solve them
Challenges & Solutions
This is how we develop custom solutions for the packaging industry
DESIGN
Process Analysis & Ideation
1-2 weeks
Together, we analyze your processes and identify your use cases. From there, we develop ideas for software solutions. If you already have a specific idea, we evaluate it for business viability and technical feasibility.
DISCOVER
Concept Development & Knowledge Graph
4-8 weeks
We design your software solution at the intersection of biz, tech, and user requirements. The result is a sophisticated solution concept structured as a machine-readable knowledge graph – perfectly suited for development with AI agents.
DEVELOP
AI-driven Software Development
6-X months
Development in Dual Track Agile: In our AI development environment, AI agents handle routine tasks, code, and testing according to clean code standards. Our experts continuously design, verify, and enrich the knowledge graph.
DEVOPS
Support & Maintenance
continuously
We operate and maintain your software, monitor system performance, and ensure sustainable, secure operation through regular updates and ongoing technological development.
Your benefits
Your entry to software solutions for the packaging industry – just a phone call away
FAQs
Frequently asked questions about software projects in the packaging industry
When is a software project involving packaging machinery economically viable?
Such a project is worthwhile if you achieve measurable improvements – for example, in availability, service costs, quality rates, or more transparent operation of machines and lines. Typical effects: fewer unplanned downtimes, automated quality inspection instead of manual checks, or seamless traceability along the supply chain.
What are the risks – and how can they be reduced?
Common risks include unclear goals, insufficient integration of existing systems (controllers, MES, ERP, SAP EWM), and overly optimistic integration assumptions. Clearly defining requirements and interfaces, as well as having a technically sound concept, significantly reduces risks. Pilot projects with a manageable scope help to develop the right thing in the right way.
Which departments is the topic of software most relevant to?
It is not just an IT issue: specialized departments provide machine expertise and process requirements (e.g., format changes, serialization, quality inspection). IT is responsible for integration, security, and operations. Profitable projects emerge where both sides work together early on.
Does a completely new IT infrastructure have to be built?
Many solutions connect to existing systems – such as controllers, MES, ERP, or SAP EWM. For AI-supported process control, for example, the solution runs as a Windows service in the production LAN with a TCP/IP connection to existing systems. Instead of parallel isolated solutions, a step-by-step expansion is recommended.
What role do cloud and edge play?
Edge and cloud complement each other: data can be prepared and time-critical functions executed close to the machine – such as real-time image analysis for AI-supported process control. The cloud is used for consolidating multiple locations, long-term analysis, and scaling. In practice, a hybrid architecture is standard.
What scope should an initial software project in this environment have?
Small and clearly defined: a manageable use case with recognizable benefits – e.g., track & trace for a product line, AI-based quality inspection on a packaging line, or a defined service use case. The software can then be expanded in a targeted manner.
What internal resources does a typical software project in the packaging machinery industry require?
Typically, you will need points of contact from product & development, application engineering, IT, and, if necessary, quality assurance. Clear responsibilities and regular communication are essential.
How long does it take to implement a software project like this?
The duration depends on the scope and integration effort – ranging from a few months for focused enhancements to longer timeframes for comprehensive platforms. Pilot projects provide reliable results early on.
Industrial AI: 20 real-world use cases
AI in industry is no longer a topic for the future, but where is it really worth getting started? This whitepaper presents 20 anonymized real-world examples of where AI is delivering measurable value in core processes today – from quality assurance and predictive maintenance to intelligent production planning.
