Digitalization in production and manufacturing
From the store floor to production planning: individual software solutions for manufacturing companies - OEE-optimized, ERP-integrated and end-to-end support.
What does digitalization in production and manufacturing mean?
Digitalization in production means the systematic penetration of all production-related processes with digital technologies - from order planning and the store floor to quality assurance and delivery. This is not about introducing individual tools, but about a consistent database: machines, employees and systems speak the same language.
The initial situation in German manufacturing companies is soberingly concrete: according to the PwC Digital Factory Transformation Survey, 64% of companies are only at the beginning of their digital transformation - although 91% of German manufacturing companies are already investing in digital production. The money is flowing, but the impact is often lacking. The reason: isolated solutions without integration, pilot projects without scaling, technology without process thinking.
For over 25 years, prodot has been helping manufacturing companies to develop digital solutions that not only work in pilot projects, but also scale in productive operations. With more than 80 IT experts and a modern, AI-ready stack, we build solutions that integrate into existing ERP and MES landscapes instead of existing alongside them.
Why digitalization in manufacturing is crucial now
Four drivers make store floor digitalization a strategic imperative:
Downtime costs are too high to ignore. Unplanned machine downtime costs between 14,000 and 260,000 euros per hour, depending on the type of production - due to production downtime, repairs and restarts. According to McKinsey, predictive maintenance solutions can reduce unplanned downtime by up to 70 percent and cut maintenance costs by 20 to 40 percent.
42% already use AI in production. According to Bitkom 2024, 42% of German industrial companies are already using AI in production, with a further 35% planning to do so. If you wait, you leave the lead in OEE, quality and throughput times to your competitors.
ERP alone is no longer enough. 74% of manufacturing companies have an ERP system (ERP Barometer 2024) - but only less than a third have fully networked their production (Deloitte). The gap between what the ERP plans and what the store floor actually produces costs efficiency and transparency on a daily basis.
Regulatory requirements enforce traceability. EU supply chain traceability requirements, battery passports, REACH and industry-specific standards such as IATF 16949 demand seamless digital documentation - from the batch to the machine parameters to the proof of delivery. Anyone who still handles this manually bears a growing compliance risk.
MES and store floor management: transparency in production
A Manufacturing Execution System (MES) is the link between the ERP system and the store floor. It records operating data in real time, controls production orders, documents process parameters and provides the database for OEE calculations and quality verification.
The reality in many medium-sized manufacturing companies: PDA terminals, Excel sheets and manual tally lists. The result is a data delay of hours or days - too late for operational decisions. If you don't have a real-time view on the store floor, you are steering blind.
What prodot implements: We develop lean MES solutions and store floor dashboards that integrate into existing ERP systems (SAP, Microsoft Dynamics, Proalpha). Machine data is collected via OPC-UA, MQTT or manufacturer-specific protocols, aggregated and visualized in real-time cockpits - for shift supervisors, production managers and management.
Production planning and advanced planning & scheduling
Conventional ERP planning modules work with static capacity assumptions and fixed throughput times. They deliver a plan - but not one that reflects the reality of the store floor: Set-up times, machine availability, employee qualifications and current order sequences are left out of the equation.
Advanced Planning & Scheduling (APS) closes this gap: Dynamic optimization algorithms are used to adjust production sequences in real time, identify capacity bottlenecks at an early stage and meet delivery deadlines more precisely. The result is shorter throughput times, less set-up work and greater adherence to deadlines.
What prodot implements: We develop planning applications that link ERP data with real-time store floor status and machine capacities. This results in quickly adaptable occupancy plans, automated order sequences and early warning systems for bottlenecks - as a web application that can be integrated into existing system landscapes.
Digital quality management
Quality assurance in production depends on data - measured values, test protocols, deviation analyses. However, many companies still record this data on paper or in local Excel files. This turns SPC analyses, CAQ evaluations and preparation for customer audits into time-consuming manual processes.
Digital quality management systems (CAQ/QMS) record inspection data directly at the measuring station or on the machine, calculate process capability parameters in real time and issue alerts in the event of deviations - before defective parts reach the next stage of production. For industries with strict standard requirements (IATF 16949, ISO 13485, EN 9100), this is not a nice-to-have, but a prerequisite.
What prodot implements: We develop CAQ integrations and quality dashboards that consolidate measurement data from various sources, automatically evaluate control charts and archive inspection reports in an audit-proof manner. The systems are connected to ERP and MES - for a continuous data flow from goods receipt to delivery.
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Send request nowTraceability and traceability: mandatory and a competitive advantage
Complete traceability - from the raw material batch through all production steps to the end product - is required by law in more and more industries: EU supply chain traceability obligation, battery passport regulation, REACH, IATF 16949, MDR for medical devices. In addition, there are customer requirements from OEMs that demand digital traceability evidence.
At the same time, traceability is a real resource: in the event of a quality problem or recall, digital batch tracking can narrow down the scope of affected products in minutes rather than days - and thus dramatically reduce recall costs.
What prodot implements: We develop traceability solutions based on batch, series and order tracking that seamlessly link production parameters, test results, material origin and process history. The data can be retrieved at any time as audit-proof evidence - for audits, customers and authorities.
Energy management in production
After raw materials and personnel, energy is the biggest cost factor in production - and one of the least digitized. According to the Avanade IIoT Study 2025, around a third of manufacturing companies have reduced their energy consumption through IIoT; energy management is also considered the field with the greatest untapped digitalization potential (64% in planning or discussion, but only 7% already actively implemented, Bitkom 2024).
Digital energy management records consumption at machine level in real time, identifies peak loads, optimizes the operating times of energy-intensive systems and provides the data basis for ISO 50001 certifications and EU taxonomy reporting.
What prodot implements: We develop energy monitoring systems that combine consumption data from smart meters, energy meters and machine control systems and visualize it in clear dashboards. Potential savings are automatically identified - with direct reference to production orders and shifts.
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The biggest challenges in the digitalization of production
Heterogeneous machine parks without standardized interfaces. Machines from different manufacturers, years of manufacture and control generations speak different protocols. A standardized database is not created automatically - it must be created through targeted integration and edge computing solutions.
Isolated solutions instead of an integrated platform. Many digitalization initiatives fail not because of the first project, but because of scaling: pilots remain pilots. 64 percent of manufacturing companies are still at the beginning of their digital transformation (PwC) because solutions do not talk to each other.
Resistance on the store floor. Digitalization is changing work processes. Shift supervisors, machine operators and quality inspectors need to be brought on board - through intuitive interfaces, sensible automation and comprehensible added value, not through imposed systems.
Skills shortage in IT and automation technology. The interface between OT and IT requires specialists that are in short supply. Over three quarters of manufacturing companies are planning to increase their AI budgets - but 42% report a lack of expertise for integration into existing processes (KPMG 2024).
ROI uncertainty for individual investments. Two thirds of German companies are held back in their digitalization projects by uncertainty about the return on investment. The solution lies in a structured, modular approach with measurable milestones instead of all-or-nothing decisions.
Why prodot as a partner for digitalization in production and manufacturing?
Production experience meets software excellence. prodot has over 25 years of project experience in manufacturing industries - from mechanical engineering to automotive suppliers and process manufacturers. We understand store floor logic, shift operation and standard requirements before we write the first line of code.
Manufacturer-independent integration. Our solutions speak OPC-UA, MQTT, REST and proprietary protocols. Whether Siemens, Beckhoff, Fanuc or a 20-year-old PLC - we create the database without having to replace the machine infrastructure.
Microsoft Azure as a proven foundation. Scalable cloud architectures for production data - highly available, GDPR-compliant and ready for AI expansions when the next step is due.
Modular and without big bang risk. We start with the use case that has the greatest leverage - OEE transparency, predictive maintenance, digital quality inspection - and build on this. Not a million-euro project all at once, but scalable steps with measurable results.
End-to-end without subcontractors. From requirements analysis to development, machine connection and integration to ongoing operation, everything comes from a single source. 80+ IT experts, no subcontracting to third parties, no gaps in responsibility at go-live.
Conclusion: digitalization in manufacturing starts with transparency
64% of manufacturing companies are still at the beginning of their digital transformation - even though the technology has long been available and the costs of unplanned downtime, missing quality data and non-transparent planning are felt on a daily basis. The missing building block is not another tool, but an integrated, scalable data strategy for the store floor.
Manufacturing companies that act now will secure measurable benefits: lower downtime costs through predictive maintenance, higher OEE through real-time transparency, seamless compliance documentation and an IT basis that supports AI instead of blocking it.