Case study · Logistics & Transportation

Salesforce rescue case study: DevOps governance for a logistics firm

Summary

This Salesforce rescue case study shows how ForceFolks repaired a logistics org and restored release controls. The team replaced redundant Apex, rebuilt components and introduced Copado tests with GitHub branches. Releases moved from monthly to weekly, while bug-related support overhead fell by 75% within 60 days.

Key takeaways

  • The rescue repaired Apex, Lightning Web Components and data validation in the existing org.
  • The scope covered Sales Cloud, Service Cloud and Salesforce Platform.
  • ForceFolks resolved 400,000 orphan records and moved deployments from monthly to weekly.
  • Critical processes stabilized within 45 days; the full remediation took 5 months.
Engagement snapshot

Salesforce rescue case study: the remediation scope

Salesforce org rescue + DevOps for logistics: engagement snapshot
AttributeDetail
Salesforce partnerForceFolks
IndustryLogistics & Transportation
Company sizeEnterprise: $600M revenue, 2,400 employees
Salesforce productsSales Cloud, Service Cloud, Salesforce Platform
Services providedSalesforce Org Rescue, Code Auditing, DevOps Strategy, Architecture Consulting
Systems integratedCopado, GitHub, Jira Agile, legacy custom telemetry APIs
Delivery modelTechnical architecture and remediation pod
Team1 Technical Director, 2 Senior Core Developers, 1 Certified Salesforce DevOps Architect, 1 Lead QA Automation Engineer
Timeline5-month remediation engagement
4xdeployment velocity
75%lower bug-related support overhead
400Korphan records resolved
100%production test coverage
Architecture & data flow

How ForceFolks stabilized the org and added DevOps governance

The team repaired the existing org rather than replacing it. ForceFolks paired code and data fixes with controlled releases so later changes could be tested before deployment.

  1. Static analysis checked the code for circular loops and queries without suitable indexes.
  2. The team replaced 14,000 lines of redundant Apex with Flow automation.
  3. Developers rebuilt broken Lightning Web Components as reusable interface elements.
  4. GitHub branches and Copado pipelines added automated unit tests to releases.
  5. Separate development, scratch, integration, user-acceptance and production environments kept testing away from live work.
  6. Monitoring alerts administrators to runtime errors and governor-limit breaches.
Outcomes

Measured results

  • Satisfaction: internal user satisfaction up 68% after the team eliminated crashes and interface freezes.
  • Data fidelity: validation and duplicate-checking rules rebuilt, resolving 400,000 orphan records.
  • Velocity: reported deployment frequency up 4x, from monthly to weekly releases.
  • Cost: Salesforce-bug support overhead down 75% within 60 days.
  • Time-to-value: critical-process stability recovered within 45 days.
  • Quality: 100% test-coverage compliance across all production modules.
FAQ

Salesforce rescue and Copado: project questions

How do you fix a Salesforce org buried in Apex technical debt?

ForceFolks began with static analysis, then replaced 14,000 lines of redundant Apex with Flow in this org. The team also rebuilt validation rules and broken components. See Salesforce rescue for the wider service scope.

Can Copado CI/CD improve Salesforce release velocity?

For this logistics operator, ForceFolks combined GitHub branches with Copado tests and release controls. Releases moved from monthly to weekly, a reported 4x increase in deployment velocity. Bug-related support overhead fell by 75%.

How long does a Salesforce org rescue and remediation take?

ForceFolks restored critical-process stability within 45 days in this case. The full remediation ran for 5 months and reported 100% production test-coverage compliance. A different org needs its own code, data and release review before a timeline is set.

Start a Salesforce rescue with the failures that block work

Share your failed releases, slow processes and recurring support issues. ForceFolks can separate urgent repairs from the longer-term code, data and DevOps work.