Maintenance

React, control, document — efficiently and in compliance with regulations.

Companies with decentralized plant structures face the challenge of efficiently managing maintenance processes across locations, production lines, and machine types, while at the same time complying with the requirements of external testing agencies, certifications, and legal regulations. Manual documentation, inconsistent maintenance intervals, or missing evidence often lead to high administrative costs, delays, and an increased risk of failure. ERP-integrated maintenance management provides a central platform for digitally planning, documenting, and systematically evaluating maintenance, inspections, tests, repairs, and preventive measures. All relevant information on machine conditions, test results, service histories, and compliance requirements is recorded in a transparent and audit-proof manner. Automated notifications and deadline monitoring ensure that maintenance intervals are consistently adhered to, downtime is minimized, and operational reliability is sustainably increased. At the same time, the analysis of historical maintenance data makes it possible to identify optimization potential, plan spare parts efficiently, and deploy maintenance resources in a targeted manner. Companies benefit from a holistic overview of all assets, improved compliance and auditability, and efficient, standardized processes that save both time and money. The result is reliable, safe, and economical asset operation that increases the performance of the entire company while meeting the requirements of internal and external stakeholders.

Central platform for work instructions and technical knowledge

Work instructions, safety regulations, and technical manuals can be accessed centrally in a structured knowledge database. All content is versioned, linked to machines, processes, and test plans, and accessible across all locations. This makes it easier to train new employees, significantly reduces sources of error, and supports the efficient transfer of know-how within the company. At the same time, digital knowledge management ensures transparent, traceable documentation and facilitates compliance and audit requirements.

Mobile data collection on site

Fault reports, maintenance logs, and status feedback can be recorded directly on site using a smartphone, tablet, or MDE device. Mobile input saves time, reduces media breaks, and provides up-to-date data at any time for transparent maintenance planning. This allows companies to keep track of machine status, maintenance requirements, and operational processes, while significantly increasing efficiency and operational reliability.

Automated maintenance and inspection reminders

The system creates schedule- and status-based reminders for maintenance intervals, inspection obligations, and calibrations. Responsible employees are automatically notified—by email, system notification, or mobile device. This helps to avoid unplanned downtime, comply with legal deadlines, and increase operational safety in the long term. At the same time, digital control ensures transparent processes, clear responsibilities, and efficient maintenance procedures across all locations.

Mobile data collection

Technicians can record faults, maintenance logs or status messages directly on site using a tablet, smartphone or MDE device. This reduces media breaks, accelerates response times and provides real-time information for maintenance planning.

Document and knowledge management (DMS)

Work instructions, manuals, safety requirements and test plans are digitally retrievable, versioned and linked to systems or processes. This supports error prevention and facilitates the transfer of know-how between locations.

Audit and compliance module

To document tests, legal deadlines and certification requirements in a system-supported manner. All measures, test reports and maintenance records can be retrieved in an audit-proof manner, which significantly simplifies audit processes.

Business intelligence

Get detailed reports to make well-founded decisions for purchasing, sales and strategic planning. With real-time data, you can keep an eye on your company at all times.

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ERP taken to the next level – with AI

fabAI – Your AI for digital corporate knowledge, automation, and increased efficiency

Unleash your company's full potential with fabAI, the intelligent AI solution from fab4minds. fabAI digitizes your entire company knowledge, optimizes internal information processes, and creates the basis for a fully networked, automated working environment. AI-supported forecasts support demand-driven production and sales planning as well as optimized warehousing. At the same time, patterns and deviations in customer behavior are identified at an early stage. The integrated chatbot allows analyses, information, and actions to be used directly and efficiently in the ERP.

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AI Features

Centralized AI-powered knowledge management & ECM

fabAI brings together company knowledge in a holistic way on an AI-powered platform for the first time. Instead of spreading data across different systems and folders, the AI accesses ERP, process metrics, financial data (FI/CO), BI systems, and documents in real time. Content is contextualized, understood, and prepared based on roles, matching the user's area of responsibility and questions. This creates an intelligent layer of knowledge that supports employees in their day-to-day business, accelerates decision-making, and creates transparency across departments and locations.

Voice control instead of click paths — natural interface for ERP users

Based on demand, ordering behavior and location data, the AI calculates which items must be available when and where. Inventory forecasting from fabAI ensures optimal distribution of goods, reduces inventory costs and minimizes shortages. This significantly improves availability, particularly in dynamic supply chains with changing demand.

Identify customer segments and understand behavior — automated cluster analysis

fabAI's AI cluster analysis automatically detects patterns, deviations, and changes in customer and process behavior—reliably, in real time, and without manual searching. This enables companies to respond early, prioritize optimizations, and avoid negative effects. Typical use cases: - Early warning system for customer churn: Identify changes in purchasing behavior and derive countermeasures - Product range analysis: Identify fluctuations in demand at an early stage and adjust offers - Delivery and quality monitoring: Identify bottlenecks or problems and optimize processes

Targeted inventory management — inventory forecasting with AI

Sales and production forecasting with AI

fabAI analyses historical order data, seasonal patterns, external influencing factors such as weather or holidays and uses this to generate accurate sales and production forecasts. This makes it possible to avoid excess quantities, make better use of production capacities and optimize procurement processes. Companies receive a data-based basis for daily operational planning — directly in the ERP.