How a Precision parts manufacturer Took Average Routing Time From Minutes to Seconds
How a precision parts manufacturer took average routing time from minutes to seconds with AI agents — plus misrouted tickets gains. See the full playbook →
The Impact
Before → after across the metrics that matter for manufacturing ticket routing.
Average Routing Time
Near-instant
First-Contact Resolution
Significant improvement
Misrouted Tickets
Major reduction
Customer Satisfaction
Notable increase
Support Cost per Ticket
Significant savings
Company
Precision parts manufacturer
Team Size
50-250 employees
Industry
Manufacturing
Setup Time
Half a day
Agents
2 AI agents
Manual ticket routing was the biggest bottleneck in this precision parts manufacturer's operations. Their team of 50-250 employees processed hundreds of ticket routing requests weekly, each requiring multiple steps, cross-referencing against manufacturing-specific requirements, and coordination between departments. The average ticket routing request took 45 minutes to complete manually, and the backlog was growing by 15% each quarter.
Beyond the time drain, the quality of their ticket routing output was inconsistent. Different team members followed different procedures, and there was no standardized way to handle edge cases that are common in manufacturing. A recent audit revealed that 12% of completed ticket routing records contained errors that required rework — costing the organization an additional $50K annually in correction and remediation efforts. The leadership team recognized that continuing to throw people at the problem wasn't viable and began searching for an AI-powered solution.
DeskFerry provided the automation backbone this manufacturing team needed. They deployed a multi-agent workflow that breaks the ticket routing process into discrete, automated steps — each handled by a specialized AI agent. The first agent monitors triggers from SAP and Google Sheets. The second agent analyzes and processes incoming requests using manufacturing-specific business logic. The third agent executes actions across connected tools and notifies team members via Monday.com.
The beauty of the no-code approach was speed of implementation. The team had their first agent live within 90 minutes, and the full ticket routing workflow was operational within a single afternoon. They used DeskFerry's template for manufacturing ticket routing as a starting point, customized the business rules to match their specific process, and connected their existing tool stack without writing a single line of code. Within the first week, the agents had processed over 200 ticket routing instances with high accuracy — more than the team typically handled in a month.
Tools Connected
How They Did It
From zero to production in Half a day — no code required.
Step 1: Mapped the existing ticket routing workflow
Documented every step of the current manual ticket routing process, including decision points, exceptions, and handoffs between team members. Identified which steps could be fully automated versus those needing human oversight.
Step 2: Built the automation in DeskFerry
Used DeskFerry's no-code builder to create the ticket routing workflow: connected SAP and Slack as data sources, configured AI decision logic for manufacturing-specific requirements, and set up automated actions and notifications.
Step 3: Parallel run with manual process
Ran the AI agents alongside the manual process for one week to compare outputs. The AI matched or exceeded human accuracy on the vast majority of ticket routing instances, with edge cases automatically flagged for human review.
Setup Time
Half a day
AI Agents
2 AI agents
Tools Connected
5 integrations
“The ROI came quickly. Our ticket routing throughput increased significantly while our error rate dropped dramatically. For a manufacturing business of our size, that translates directly to the bottom line.”
Operations Director
Precision parts manufacturer
Key Takeaways
The most important lessons from this manufacturing ticket routing project.
AI-powered ticket routing automation dramatically reduced manual processing time for this manufacturing team, freeing staff to focus on high-value strategic work.
Implementation took less than a day — the no-code approach meant no IT bottleneck or months-long development cycle.
Error rates dropped significantly, improving data quality and downstream decision-making.
The ROI was realized quickly, with the solution paying for itself through cost savings and productivity gains.
Frequently Asked Questions
Common questions about automating ticket routing in manufacturing.
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