SAP TM optimisation analysis

Transprotation Saving Analysis® – unlock potential in the transport network

Use our standardised approach to identify potential savings (e.g. fewer journeys, better use of quotas, selection of the cheapest carriers). We set up a SAP TM system in our IGZ test environment using data from your daily business. The system can also be upgraded as your sandbox and training system at a later stage. Work with us to identify annual potential savings of up to 15% of your freight costs.

SAP TM Check-up

As part of a free half-day SAP TM check-up, IGZ will first provide you with an initial assessment of relevant functional areas in which we have identified savings potential (industry benchmarks). We will agree these approaches with you.

We will then summarise these approaches for you and give you a recommendation as to whether investing in the SAP TM optimisation analysis is worthwhile for your business.

With the SAP TM optimisation analysis, IGZ continues with the previously developed approaches from the check-up and analyses your actual data in the transport network.

SAP TM optimisation analysis – savings

SAP TM optimisation analysis

With the SAP TM optimisation analysis, IGZ continues with the previously developed approaches from the check-up and analyses your actual data in the transport network.

Here, we proceed as follows:

1. Recording of relevant ACTUAL data

  • e.g. deliveries for one month
  • e.g. road transport for Germany and Austria

2. Definition of optimisation parameters

  • Master data (e.g. unloading times, restricted routes, etc.)

3. SAP TM master data, customising

  • Distribution of ERP Master Data (CIF to SAP TM) debtors and vendors via batch report

4. Data preparation/transport planning

  • Order flow in the SAP TM system (at IGZ) with attached geo-information system

5. Evaluation and preparation results

  • Comparison of ACTUAL data with SAP TM planning
  • Presentation of concrete savings

Framework conditions:

  • Freight revenue: EUR 8 million
  • Freight forwarding within Germany
  • 3 freight forwarders (> 80% of shipments)
  • Selection of freight forwarders by postal code zones
  • Problem: excessive freight costs
  • Observation period: 1 month

Target:

  • Savings: 3 % p. a.

 

Framework conditions:

 

  • Freight revenue: EUR 10 million
  • Only rough planning of capacities
  • Experiences of long-time employees (without software)
  • Problem: over or under-capacity
  • Considered capacity: Sea container (20", 40")
  • Observation period: 3 months

Target:

  • Savings: 6 % p. a.

Framework conditions:

 

  • Freight revenue: EUR 20 million
  • Transport planning with SAP SD and MS Excel
  • Problem: late detection of bottlenecks in delivery capacity
  • In-house vehicle fleet (vehicle type, resource)
  • Fixed stop times (unloading points)
  • Fixed time windows (unloading times)

Target:

  • Savings: 9 % p. a.

 

Key Facts

  • Determination of detectable
    saving potential
  • Minimizing tours, better use of
    freight quotas
  • Selection of cheapest carriers
  • Planning simulations with real data
  • Real shipment structures
    (for example, SAP deliveries)
  • Cf. savings based on actual costs

Quote

Together with us, determine annual savings potential of up to 15% of your freight costs.

Johannes Zeitler, Sales SAP TM Solutions

References