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CASE STUDIES

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2022

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SKF

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CASE STUDIES

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2022

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SKF

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CASE STUDIES

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2022

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SKF

SAP AIF Driven Transport Management Integration at SKF

SKF is a global industrial manufacturing company operating complex, high volume logistics flows across multiple regions. Reliable and scalable SAP TM integrations are critical to ensure uninterrupted transportation planning and execution.

SKF is a global industrial manufacturing company operating complex, high volume logistics flows across multiple regions. Reliable and scalable SAP TM integrations are critical to ensure uninterrupted transportation planning and execution.

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CLIENT

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SERVICES

SAP Transportation Management (TM)
SAP AIF
SAP CPI
SAP ABAP OO
SAP Integration
SAP S/4HANA

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OVERVIEW

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OVERVIEW

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OVERVIEW

SKF implemented SAP Application Interface Framework (AIF) in the SAP Transportation Management (TM) module to stabilize and operationalize inbound Transportation Request processing. The solution was built around the standard TM inbound interface, enhanced with AIF capabilities for validation, monitoring, correction, and controlled reprocessing.


Intra Company Transportation Request used by SKF is a standard SAP TM inbiund service that supports internal logistics coordination within a global organization. Its role is to ensure that transportation needs generated by internal supply chain processes are correctly transferred into SAP TM so that planning, execution, and monitoring can happen without disruption.


In standard SAP, this service is delivered with ECH (Error and Conflict Handler) enabled, meaning failed messages are technically logged and reprocessed via SXMB_MONI, with limited business transparency.

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CHALLENGES

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CHALLENGES

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CHALLENGES

Why Standard Processing Was Not Sufficient

In SKF’s landscape, the service handled high-volume, multi-country, intra-company transportation requests. The main limitations of the standard setup were:

  • Errors caused by country-specific address and postal code formats

  • Missing or inconsistent master data (regions, cities, postal codes)

  • Technical error handling via ECH that was not usable by business teams

  • No structured way to correct payload data and safely reprocess messages

  • Repeated errors with identical root causes

This made the standard ECH-based processing unsuitable for operational logistics teams.

If the same data errors keep coming back, is the problem really technical?

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SOLUTIONS

SAP AIF Enablement Approach for the Service


To overcome these issues, the service was migrated from ECH-based handling to SAP AIF, using the same standard proxy but with a different execution model:

  • ECH framework was disabled for this interface

  • Interface logic was executed via Proxy Engine, controlled by AIF

  • Full AIF feature set was activated: mapping, checks, monitoring, restart, and payload correction

Key AIF Capabilities Applied


  • Structured Mapping & Validation

The inbound XML structures (e.g. Consignee Party, Ship-To Location) were mapped using AIF structure mappings with controlled execution order.
This allowed SKF to introduce deterministic and reusable mapping logic instead of custom code in the proxy.

  • BRF+ Driven Address & Country Logic

AIF was combined with BRF+ decision tables to handle country-specific inconsistencies:

  • Country derivation based on organization and city

  • Region mapping rules (e.g. Brazil-specific logic)

  • Postal code normalization per country (Brazil, Canada, non-EU rules, T005 templates)

This moved fragile logic out of ABAP and into maintainable business rules.

  • Controlled Payload Correction

AIF was configured with explicitly changeable fields in the message payload (addresses, postal codes, region codes). Business users could correct errors directly in the AIF UI and reprocess messages safely without re-triggering the source system.

  • Business-Oriented Monitoring in Fiori

SKF used AIF Monitor in Fiori Launchpad, giving business users better visibility and accessibility from web browser.

  • Recipient & Responsibility Model

The interface introduced recipient determination based on business keys (e.g. shipper country).
Errors were routed automatically to region-specific teams, with a fallback group for unmatched cases

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RESULTS

Resulting Role of the Service After AIF Enablement


After AIF implementation, Intra Company Transportation Request evolved from a purely technical inbound interface into a controlled, business-operable integration process:

  • Predictable processing of transportation requests

  • Reduced reoccurring errors through rule-based validation

  • Business self-service for correction and reprocessing

  • Scalable handling of global TM data complexity

From an SAP TM functional perspective, this is a textbook example of how standard enterprise services become enterprise-ready when wrapped with AIF.

60-70%

reduction in transportation request processing disruptions

50%

faster resolution of logistics exceptions

40%

decrease in recurring data-related errors