Case study
Asset Management and Preventative Maintenance Package
Salesforce package work focused on asset tracking, preventative maintenance workflows, and reporting that could adapt to client-specific operational needs.
- Role
- Salesforce Developer / Technical Lead
- Stack
- Apex, LWC, Flow, Custom Metadata, managed packages
- Focus
- Package design, automation, reporting, maintainability
Problem
Asset-heavy teams needed a more consistent way to track equipment, schedule preventative maintenance, and report on work without rebuilding the same Salesforce patterns for each client.
The solution needed to support repeatable package behavior while leaving enough room for client-specific reporting and configuration.
Constraints
- Keep package behavior reusable across environments and client configurations.
- Support maintenance workflows without hard-coding every operational variation.
- Use Custom Metadata and configuration patterns where admins needed control.
- Preserve clear ownership between package logic, automation, and reporting.
Solution
I led development work for an asset management and preventative maintenance package, using Salesforce automation and package-friendly configuration patterns to support reusable workflows.
The implementation balanced packaged defaults with client-specific reporting needs, so teams could get useful operational views without turning the package into a one-off build.
Architecture
Diagram placeholder: replace this block with a production architecture diagram when final implementation details are approved for public sharing.
Key Decisions & Tradeoffs
- Favored configuration-driven behavior where client variation was expected.
- Kept reusable package logic separate from client-specific reporting requirements.
- Used LWC where a focused interface could make asset and maintenance work easier to complete.
- Balanced automation convenience with maintainability for admins and future developers.
Results / Impact
The package gave teams a reusable foundation for asset management and preventative maintenance while still supporting the reporting differences that show up in real client environments.
What I’d Improve
I would expand admin-facing documentation, add more automated regression coverage around configurable behavior, and build clearer examples for common reporting variations.