Deloitte Digital: Salesforce CRM transformation for FMCG and telecom
Across FMCG and telecom programs, the mandate was to modernize critical Salesforce workflows, integrations, and operating models without slowing the business down. We combined domain discovery, product-aware workflow design, Salesforce platform depth, and disciplined engineering to help large teams standardize execution in systems people could actually adopt.
Reported impact
2 enterprise programs
Cross-industry transformation scope
Delivered across both FMCG and telecom operating environments.
Modeled impact
Estimated 20-30%
Faster workflow execution
Modeled impact from replacing fragmented manual steps with governed digital approvals and guided flows.
Modeled impact
Estimated 15-25%
Lower change effort
Modeled reduction driven by reusable components, shared workflow patterns, and cleaner platform architecture.
Business thesis
Modernized fragmented sales and customer workflows into governed Salesforce operating models for FMCG and telecom businesses.
Confidentiality
Details generalized due to confidentiality.
Context
Why the transformation mattered
The strongest programs start with business pressure, operating constraints, and a clear definition of what has to change.
The FMCG engagement required end-to-end modernization of sales workflows with reliable approvals, governance, and a scalable data model that could support field execution without process drift.
The telecom engagement needed a guided digital customer experience on Salesforce Industries that could balance workflow flexibility, platform constraints, and long-term maintainability.
Transformation lens
The strength of this work was not flashy CRM customization. It was the ability to apply structured problem framing, industry-specific process understanding, product judgment around user journeys, and strong platform engineering to create systems the business could actually run on.
Solution
Turning operational complexity into a reliable operating model
The delivery combined research-grade rigor, domain understanding, product judgment, and strong engineering execution.
- Led business and workflow discovery to translate operational complexity into a clear CRM design for each program.
- Implemented Salesforce capabilities across data modeling, validation, approvals, security, automation, integrations, and reusable Lightning Web Components.
- Built Salesforce Industries workflows with OmniScripts, DataRaptors, Integration Procedures, and Calculation Matrices for guided customer journeys.
- Delivered the programs through modular, iterative releases so the platform could evolve without compromising governance or maintainability.
Why it held up
Research
Research-grade rigor
The operating model starts with structured problem framing, quality bars, and repeatable evaluation.
Domain
Domain-aware decisions
Industry realities shape priorities, risk tradeoffs, and what the business actually needs to change.
Product
Product understanding
The solution is designed around operator workflows, adoption, and long-term maintainability.
Engineering
Senior engineering execution
The implementation is built to survive production pressure, handoff, and operational scale.
Commercial workflow transformation
From fragmented enterprise workflows to a production-ready operating layer
Discovery, platform design, reusable workflow components, and controlled releases turned operational complexity into a governed Salesforce layer teams could actually run.
Step 1
Business process complexity
Field sales, approvals, customer onboarding, and channel workflows created operational friction.
Step 2
Workflow and data model design
Discovery translated process variation into governed Salesforce and Salesforce Industries patterns.
Step 3
Reusable CRM components
LWCs, Apex services, OmniScripts, and integration flows created repeatable platform capabilities.
Step 4
Scalable commercial execution
The result was a more consistent, maintainable, and business-ready CRM operating model.
Outcome
Business impact, not implementation theatre
The strongest case studies should read like operating leverage, throughput, risk reduction, revenue impact, and delivery confidence.
Outcome narrative
- Digitized core sales and customer processes with stronger approvals, governance, and workflow consistency.
- Delivered guided, reusable customer journeys that reduced implementation duplication across telecom workflows.
- Improved maintainability through shared components, scalable data modeling, and platform-aware engineering practices.
- Created a CRM operating model that could support business growth without accumulating unmanaged customization debt.
Technology foundation
Some impact is directly reported from the engagement. Where modeled impact is shown, it is clearly labeled as an estimate rather than a reported client claim.
Related brief
Working through a similar transformation?
Start with the operating problem, the systems involved, and the business outcome you need to unlock.