
ServiceNow SOMT Migration
Migrated existing telecom sales and order management workflows from legacy systems to the ServiceNow SOMT platform.
Data Template supported a leading telecom organization in migrating to ServiceNow SOMT, enabling a modern, scalable platform for managing telecom sales, pricing, and order fulfillment processes.
The organization relied on legacy BSS platforms that resulted in fragmented product catalogs, inconsistent pricing models, manual quote-to-order processes, limited order lifecycle visibility, and challenges in scaling telecom services efficiently.
Implemented a unified ServiceNow SOMT platform with a centralized product catalog, dynamic pricing, automated quote-to-order workflows, end-to-end order orchestration, and backend system integrations to streamline telecom operations and improve scalability.

Migrated existing telecom sales and order management workflows from legacy systems to the ServiceNow SOMT platform.

Rebuilt the product catalog with standardized offerings, reusable bundles, and dynamic pricing configurations.

Designed and implemented automated quote-to-order conversion and fulfillment workflows for streamlined operations.

Performed data migration, cleansing, and validation while integrating ServiceNow with OSS/BSS and backend systems to ensure a smooth transition.

Implemented a structured migration approach to ensure minimal downtime and uninterrupted business operations during the transition.
Rebuilt the product catalog with standardized offerings, reusable bundles, and dynamic pricing models for greater flexibility.
Streamlined quote-to-order conversion and automated fulfillment processes to improve operational efficiency and reduce manual effort.
Validated and standardized legacy data to ensure consistency, accuracy, and reliable reporting across the platform.
Integrated ServiceNow SOMT with OSS/BSS systems to enable seamless end-to-end service provisioning and orchestration.
1
Simplified workflows and eliminated legacy system dependencies.
2
Automated processes reduced manual effort and processing time.
3
Standardized and validated data improved reporting accuracy.
4
Accelerated order processing and fulfillment timelines.
5
Improved service quality and customer experience through streamlined operations and faster issue resolution.