Purpose

The purpose of this document is to define the conversion approach to create Default routes in S/4 HANA TM (Transportation management).

Default route functionality in S/4 HANA TM (Transportation management) solution is different from routes functionality in SAP ECC, the tables and fields are different. [Assumption] The data for default routes in S/4 would need to be constructed in data collection template (DCT).

Default route defines the sequence of stops for a given source and destination combination, which can be locations or zones. For a given source and destination, SAP TM determines matching default routes and chooses the most specific one; a direct location match is more specific than a zone match. Default routes can be modified manually where the desired route is different to that proposed.

Conversion Scope

The scope of this document covers the approach for creating Default routes in S/4HANA following the TM Default routes Master Data Design Standard. This includes:

• Capturing and using the default route data in data collection template (DCT).
• Applying transformation logic via Syniti to conform with the S/4 HANA data model.
• Loading the transformed data into SAP S/4 HANA while ensuring data integrity.

The data from legacy system includes:

1. N/A (Manual data collection)

The data from legacy system excludes:

1. N/A (Manual data collection)

List of source systems and approximate number of records

Additional Information

Multi-language Requirement

Default route description will be made available in English.

Multi language is supported for default routes. Login via a different language will show the description displayed in the logon language if the language key is maintained.

As per KDD055, there are 8 languages in scope: English, French, Italian and Mandarin and Brazilian Portuguese, German, Spanish and Thai.

Document Management

Not applicable.

Legal Requirement

Not applicable.

Special Requirements

Target Design

Default route data adheres to the Master Data Standard. The complete information of the key fields that hold the default route information follows the Master Data Standard document.

The technical design of the target for this conversion approach.

Data Cleansing

Default route data will be populated directly in the Data Collection Template (DCT).

Conversion Process

The high-level process is represented by the diagram below:

Data Privacy and Sensitivity

Extraction

Extract data from a source into . There are 2 possibilities:

1. The data exists. connects to the source and loads the data into . There are 3 methods:
   1. Perform full data extraction from relevant tables in the source system(s).
   2. Perform extraction through the application layer.
   3. Only if ; cannot connect to the source, data is loaded to the repository from the provided source system extract/report.
2. The data does not exist (or cannot be converted from its current state). The data is manually collected by the business directly in Syniti Migrate. This is to be conducted using DCT (Data Collection Template) in Syniti Migrate.
   

The agreed Relevancy criteria is applied to the extracted records to identify the records that are applicable for the Target loads

Extraction Run Sheet

Selection Screen

Data Collection Template (DCT)

A Target Ready Data Collection Template will be created for the required data, except for fields that need transformation as per the defined transformation rules. It will follow the format required by the target S/4HANA Default route.

Please find below the DCT details.

DCT Rules

Discuss with Syniti Later if we capture all languages in one DCT or if to split another DCT for other Languages.

Please refer to the above Google sheet for the DCT rules.

Extraction Dependencies

Not applicable.

Transformation

The Target fields are mapped to the applicable Legacy field that will be its source, this is a 3-way activity involving the Business, Functional team and Data team. This identifies the transformation activity required to allow to make the data Target ready:

1. Perform value mapping and data transformation rules.
   1. Legacy values are mapped to the to-be values (this could include a default value)
   2. Values are transformed according to the rules defined in
2. Prepare target-ready data in the structure and format that is required for loading via prescribed Load Tool. This step also produces the load data ready for business to perform Pre-load Data Validation

Transformation Run Sheet

Transformation Rules

Transformation Mapping

Transformation Dependencies

Pre-Load Validation

Project Team

Completeness

Accuracy

Business

Completeness

Accuracy

Load

The load process includes:

1. Execute the automated data load into target system using load tool or produce the load file if the load must be done manually
2. Once the data is loaded to the target system, it will be extracted and prepared for Post Load Data Validation with side by side check of each fields in scope of the objects with fields to be displayed as XXXX_DCT, XXXX_S4HANA, XXXX_MATCH ( As TRUE or FALSE) with an additional column denoting fields not matching and status of loading in S/4HANA as LOADED_IN_S4HANA ( As TRUE or FALSE) 

Function_Loader_Inlay program or Custom Migration Cockpit Object (LTMOM) will have to be used for automated load of default routes to SAP S/4 HANA TM. There is no standard object available in SAP Migration Cockpit for Default routes.

BAPI: /SCMTMS/BAPI_SCHEDULE_SAVEMULT

Load Run Sheet

Load Phase and Dependencies

Default routes data will be loaded in the pre-cutover window.

Configuration

Conversion Objects

Error Handling

As part of the default routes data load to S/4HANA  using the Syniti data migration tool, various data quality, configuration, and technical challenges may arise.

The following table outlines the most commonly observed error types during data load, and the corrective actions typically taken to resolve them. This helps ensure consistency in issue handling, improves traceability during cutover, and supports smooth end-to-end execution of the default routes load.

Post-Load Validation

Project Team

Completeness

Accuracy

Business

Completeness

Accuracy

Key Assumptions

• Master Data Standard is up to date as on the date of documenting this conversion approach and data load.
• is in scope based on data design and any exception requested by business.

See also

Change log

Workflow history