CASE STUDY · ENTERPRISE AUTOMATION
Taking the manual work out of Dell's support operations.
- ZeroManual checks for warranty and service-tag verification
- 1,000sDell products ingested and processed at scale
01 · PROJECT OVERVIEW
A support operation held together by hand.
Dell's support organisation handles a steady flow of warranty questions, service dispatches and product knowledge at global scale. Much of the work behind it ran on legacy, manual workflows.
Every warranty and service-tag check needed someone to look it up. Dispatch audits were assembled after the fact. Product knowledge had to be gathered and processed by hand before anyone could use it.
Brandsmashers was brought in to modernise these workflows: automate the repetitive steps, give the team visibility across the whole dispatch lifecycle, and turn scattered product information into structured data other systems could consume.
- 1Warranty and service-tag verification performed manually, one lookup at a time.
- 2Dispatch audits pieced together by hand, with limited lifecycle visibility.
- 3Knowledge-base content processed manually before it could be reused.
- 4Product data spread across sources rather than available as structured, API-ready records.
02 · THE CHALLENGE
Automating without disrupting a live operation.
Support never stops, so the new workflows had to be introduced alongside the existing ones, not in place of them overnight.
The automation also had to be trustworthy. A warranty decision or a dispatch audit that is fast but wrong is worse than a slow one, so every automated step needed to be as reliable as the manual check it replaced.
- PROBLEM 01Manual verification
Warranty and service-tag checks consumed agent time and slowed resolution.
- PROBLEM 02Audit blind spots
Dispatches could not be followed cleanly from request to completion.
- PROBLEM 03Unstructured product data
Information about thousands of products was hard to query or reuse.
- PROBLEM 04Legacy workflows
Processes were difficult to change without risking day-to-day operations.
The fastest support check is the one nobody has to do by hand.
03 · THE PROCESS
Map the workflows, automate the checks, then structure the data.
- 01Mapped the existing support workflows
We traced how support ops, dispatch auditing, warranty validation and knowledge-base processing actually worked, including the manual steps between systems.
- 02Designed the automation architecture
We defined where automation could safely replace manual work and how the new workflows would sit alongside the existing support infrastructure.
- 03Automated warranty and service-tag verification
Verification moved from manual lookups to an automated check, removing hand-offs from the process.
- 04Automated dispatch audits
Dispatch audits were automated with full lifecycle visibility, so each dispatch can be followed from start to finish.
- 05Built data ingestion for product knowledge
Thousands of Dell products were ingested and processed at scale into structured, API-ready data.
- 06Rolled out across the support infrastructure
The automated workflows were connected end to end across the support infrastructure.
- 1→Workflow mapping
- 2→Automation architecture
- 3→Warranty & service-tag checks
- 4→Dispatch audit automation
- 5→Data ingestion
- 6→API-ready data
- 7Support teams
04 · RESULTS
What changed.
Routine checks stopped needing people, audits became visible end to end, and product information became data other systems can use in real time.
| BEFORE | AFTER |
|---|---|
| Manual warranty and service-tag lookups | Automated verification with zero manual checks |
| Dispatch audits assembled by hand | Automated audits with full lifecycle visibility |
| Knowledge-base content processed manually | Automated ingestion and processing at scale |
| Product data scattered across sources | Structured, API-ready data for faster decisions |
- Time back for support teams
Agents spend their time on customers, not on routine lookups.
- Consistent decisions
Automated checks apply the same rules every time.
- Visibility
Every dispatch can be followed through its full lifecycle.
- Reusable data
API-ready product data can feed other tools and teams in real time.
05 · DELIVERABLES
What we delivered.
- Workflow automationEnd-to-end automation across the support infrastructure.
- Warranty verificationAutomated warranty and service-tag validation.
- Dispatch auditingAutomated audits with full lifecycle visibility.
- Data ingestionProcessing of thousands of product records into structured data.
- ArchitectureAutomation architecture for modernising legacy workflows.
- Focus
- Workflow automationWorkflow modernisation
- Data
- Data ingestionStructured API-ready data
- Design
- Solution architecture
WHY IT WORKED
Automation built around the real workflow.
We started from how the support team actually worked, not from a tool. That made it clear which steps could be automated safely and which needed a person, and kept the operation running while it changed.
The result is a support operation that scales with product volume instead of with headcount.
YOUR TURN
Still running key workflows by hand?
Brandsmashers Tech automates legacy, manual processes so your teams can focus on the work that needs them.