AI-Powered Aftermarket Service Transformation for a Leading Woodworking Machinery Provider
A woodworking and industrial machinery provider ran service from scattered work orders and reacted to failures after they hit production. iSERV centralised tickets and field scheduling, and FactoryGPT started spotting machine anomalies before the floor went down.
- Client
- Woodworking and industrial machinery provider
- Industry
- Industrial machinery and aftermarket service
- Solution
- ITHENA iSERV with FactoryGPT
- Scope
- Ticketing, field scheduling, self-service portal, anomaly detection
- Headline result
- 40% less unplanned downtime
Three numbers aftermarket service moved.
Results from the iSERV and FactoryGPT rollout across the client's field service network.
Boost in self-service resolutions
Customers solved common faults through guides, schematics and manuals in the knowledge portal.
Reduction in ticket resolution time
Every request tracked in one system from open to close, with technicians assigned in real time.
Reduction in unplanned downtime
Machine data scanned continuously, with maintenance work orders raised before failures reached the floor.
Meet the organization and understand the context behind the transformation.
A leading provider of advanced manufacturing solutions, machinery, software, and services for woodworking and industrial manufacturing. Struggled with fragmented work order tracking, reactive machine support, and limited real-time intelligence on installed equipment. Partnering with ITHENA, the organization deployed iSERV to centralize ticketing, digitize work orders, allocate technicians, and launch a customer self-service knowledge portal. FactoryGPT was layered on top to deliver natural language service intelligence and automated anomaly detection across the installed base. The result was faster service resolution, fewer unplanned equipment failures, and a proactive aftermarket service model built on real-time machine intelligence.
Coordinating over multiple field reps and service centers while ensuring prompt customer support was a major challenge. iSERV centralized our service operations, and FactoryGPT enabled real-time self-diagnosis for customers. Together, they closed critical gaps we'd struggled with for years.
— Vice President, Service Operations
Service that only started after the machine stopped.
Work orders, technicians and machine health lived in different places, so problems surfaced late.
- Limited visibility into technician utilization and work order status across a distributed field network
- Inefficient issue management without a centralized ticket tracking system
- Lack of self-service resources for customers to troubleshoot faults before escalating
- Inability to diagnose equipment issues in real time, causing dependence on engineer availability
- Slow detection of machine anomalies and downtime, often noticed only after production is affected
How iSERV and FactoryGPT closed the gaps.
ITHENA's iSERV and FactoryGPT empowered the client with:
Service Management
Consolidated all customer requests into a single tracked system, enabling faster prioritization and consistent resolution from open to close
Work Order Management
Digitized scheduling and technician allocation across regional service centers, replacing manual coordination with real-time field visibility
Automated Insights and Agentic Workflows
Continuously scanned machine data for early anomalies, automatically triggering maintenance work orders before floor failures occurred
Knowledge Portal
Deployed self-service guides, machine schematics, and training manuals, enabling customers to accelerate issue resolution
AI-Powered Service Intelligence
Enabled customers and technicians to query ticket status, service history, and updates in natural language, eliminating the manual follow-ups from the service desk.
Every machine signal, watched.
An illustrative iSERV view: FactoryGPT traces machine signals across a shift and raises a work order the moment one crosses its threshold. Machine names and live figures are examples; the three results are the client's.