Modernizing Enterprise Quoting with Salesforce Revenue Cloud
Global Telecommunications Enterprise
The Client
& Challenge
A global telecommunications enterprise relied on Salesforce CPQ to manage complex product configuration, pricing and quoting. Custom pricing logic embedded in the Quote Calculator Plugin had become increasingly difficult to maintain and contributed to slower quote execution.
The move to Salesforce Revenue Cloud presented an opportunity to do more than migrate technology. It allowed the enterprise to rethink pricing architecture, eliminate unnecessary customization and create a stronger foundation for future growth.
As quoting complexity increased, custom pricing logic created performance bottlenecks, maintenance challenges and dependencies on specialized technical knowledge.
A like-for-like migration would have carried these limitations into the new environment. The enterprise needed to modernize its quoting architecture while protecting continuity for active sales operations.
What Bossini
Delivered
Bossini led a 19-member team through the Salesforce CPQ-to-Revenue Cloud transformation.
Rather than replicate legacy customizations, the team moved pricing logic out of custom Quote Calculator Plugin code and into native pricing capabilities.
The engagement included:
- Re-platforming product catalogs, bundles, pricing rules and configuration models.
- Defining migration strategy, data mapping and cutover planning.
- Addressing performance issues and configuration gaps during post-migration stabilization.
- Establishing testing, release governance and CI/CD practices for continued Revenue Cloud development.
The Impact
The transformation achieved a 72.5% reduction in quote execution time, improving responsiveness for sales teams handling complex quotes.
It also reduced technical debt, lowered dependence on specialized custom pricing code and established a stabilized, governed Revenue Cloud platform for future enhancements.
The transformation's value was not simply moving to a new platform. It was removing architectural constraints that would otherwise have persisted.
- Reduction in quote execution time
- 72.5%
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