TMG-Einkaufs- und Digitalisierungsexperten helfen, Automatisierung und Digitalisierung im Einkauf zu nutzen

DIGITALIZATION OF Procurement

Selecting the right procurment solutions, including software tools and training, is crucial for seamless integration into the IT infrastructure. Process mining techniques uncover inefficiencies, while artificial intelligence identifies trends.

The digitalization of procurement covers the following areas:

  • Specification and selection of procurement solutions
  • Master data management
  • Connection to SAP systems
TMG 9 Service – Procurement 9 Digitalization of Procurement

A decisive step in the digitalization of procurement

Specification & selection of procurement solutions

The selection of suitable software tools, including implementation support and training, is crucial. Seamless integration into the existing IT infrastructure avoids data silos and ensures a smooth flow of information. Process mining techniques help to analyze purchasing data and uncover inefficiencies, while artificial intelligence is used to identify trends. In addition, solutions for supplier relationship management are implemented to improve collaboration with suppliers, and electronic procurement solutions optimize the sourcing process.

 

The specification and selection of procurement solutions is a decisive step in the digitalization of procurement. Here are the approaches and methods mentioned in detail:

  1. Benchmark & selection criteria for comparable industries:
    • Comparison of your own purchasing practices with those of other companies in similar sectors in order to identify best practices and opportunities for improvement. The selection criteria should be specifically tailored to the needs and requirements of the industry.
  2. Tool selection & implementation support:
    • Identification and selection of suitable software tools that can support the purchasing processes. This also includes the provision of implementation support, training for users and the adaptation of tools to specific company requirements.
  3. Integration into existing IT infrastructure:
    • Ensuring that new purchasing solutions are seamlessly integrated into the existing IT infrastructure. This helps to avoid data silos and ensure a smooth flow of information between different systems.
  4. Process mining of purchasing data:
    • Application of process mining techniques to analyze patterns and processes from purchasing data. This provides a deeper insight into purchasing processes and identifies inefficiencies and potential for improvement.
  5. AI-supported data analysis:
    • Use of artificial intelligence to analyze large amounts of data in purchasing. This can help to identify trends and patterns, create forecasts and make data-based decisions.
  6. Supplier Relationship Management solutions:
    • Implement solutions to manage and improve relationships with suppliers. Effective supplier relationship management promotes better collaboration, transparency and communication between partners.
  7. E-sourcing:
    • Use of electronic procurement solutions to optimize the sourcing process. This includes online tenders, bid comparison and the management of supplier relationships to achieve efficiency and cost savings.

It forms the basis for effective processes and decisions

Master data management

This includes improving data quality by cleansing and harmonizing inconsistent data and adapting responsibilities and governance structures to current standards. Automated processes facilitate the onboarding of new suppliers, while the identification and elimination of process and documentation gaps increases the efficiency of data management. In addition, master data management is strategically integrated into the organizational structure to define clear responsibilities and promote collaboration between departments.

Master data management plays a central role in the digitalization of purchasing, as it forms the basis for effective processes and decisions. Here are the service modules mentioned in detail:

  1. Improvement of data quality through data cleansing & harmonization:
    • Implementation of measures to clean up inconsistent or incorrect data and to harmonize data formats. The aim is to ensure high data quality, which is necessary for well-founded decisions.
  2. Adaptation of data responsibility & governance to changed standards:
    • Review and adjust responsibilities for data management and governance structures to ensure they are in line with current standards and best practices. This helps to define clear responsibilities and ensure compliance with guidelines.
  3. Automated data management for adding new suppliers:
    • Implementation of automated processes for recording and managing new supplier data. This makes the onboarding process more efficient and reduces the susceptibility to errors.
  4. Identification & elimination of process & documentation gaps:
    • Analysis of existing processes and documentation to identify gaps or weaknesses. The aim is to close these and thus increase the efficiency and traceability of data management.
  5. Positioning of master data management in the organizational and operational structure:
    • Strategic anchoring of master data management within the organizational structure. This includes the definition of roles and responsibilities as well as integration into existing processes to promote seamless collaboration between departments.

A central aspect of the digitalization

Connection to SAP

The identification, analysis and management of risks are generally important and essential topics for purchasing. Sustainability aspects are also becoming increasingly important in risk management, not only because laws such as the LkSG are particularly geared towards this. Our experts sharpen the focus on sustainability aspects in risk management and help you:
  1. Efficient, end-to-end digital connection of BANF & ordering processes:
    • Ensuring seamless integration of purchase requisitions (BANF) and ordering processes into the SAP landscape. This includes the automation of approval and ordering processes to increase efficiency and transparency.
  2. Automated negotiation processes:
    • Implementation of automated processes for negotiations with suppliers, e.g. through e-auctions or digital negotiation platforms. This speeds up the process and improves conditions for the company.
  3. Savings pipeline & trackin:
    • Development and implementation of methods to identify, quantify and track savings resulting from optimized purchasing processes. A transparent savings pipeline enables better control and planning.
  4. Support for multiple tender types:
    • Provision of functions and tools to support different tender types (e.g. open tenders, restricted tenders) in order to meet the specific requirements of different purchasing projects.
  5. Integrated contract & supplier management:
    • Implementation of solutions that integrate contract and supplier management in one system. This enables better management of contracts, deadlines and supplier relationships, minimizing risks and increasing efficiency.
  6. Cooperation with ERPvisors:
    • Work with ERP consultants or advisors (such as ERPvisors) who have expertise in the implementation and customization of ERP systems. These partners can provide valuable support in order to optimize the SAP connection and take the company’s specific requirements into account.
    1.  
    •  
We are always there for you

Your Contact Persons

Talk to

Martin
Fuzik

Talk to

Michael
Knuth

Development area

Additional services

Procurement optimization

The optimization of procurementaims to improve existing processes and exploit potential savings.

Transformation of procurement

At the same time, the transformation of procurementensures that it acts as an integral part of the corporate strategy and adapts agilely to market changes.

Contactform

We Look Forward to Discussing Matters with You!

You are currently viewing a placeholder content from HubSpot. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.

More Information