Werres Warehouse Insights

Can AI Reduce Forklift Downtime?

How faster diagnostics can reduce repair costs, improve uptime, and support a healthier fleet

By Shawn Haden Sr.
Vice President of Operations, Werres Corporation
Estimated reading time: 5–6 minutes

When a forklift goes down, the repair is only part of the disruption. Time is also spent identifying the problem, locating technical information, confirming the repair procedure, and making sure the work is completed correctly.

Werres has equipped every technician with AI-assisted diagnostic technology to help locate reliable information faster. That means less time searching and more time diagnosing and repairing equipment, with the potential for lower repair costs, greater uptime, and a healthier fleet.

Quick Answer

Yes, AI can help reduce forklift downtime when it is paired with accurate technical information and an experienced technician. It can shorten the time required to locate fault-code guidance, service procedures, and standard work. That gives the technician more time to inspect, test, diagnose, and repair the equipment. For the customer, the potential value includes less diagnostic labor, fewer repeat service events, lower repair costs, and a faster return to operation.

Why Is an Accurate Forklift Diagnosis So Important?

An accurate diagnosis protects the customer from paying to address a symptom while the underlying problem remains. It also reduces the risk of unnecessary parts replacement, repeat service calls, and additional downtime.

A fault code can point a technician in the right direction, but it rarely tells the entire story. The same symptom may have several possible causes. Before recommending a repair, a technician may need to inspect related components, review service documentation, test electrical or mechanical systems, and compare the condition of the equipment with the manufacturer’s diagnostic guidance.

That work can take time, especially when the cause is intermittent or when multiple systems are involved. The goal is to identify what actually failed, understand why it failed, and complete the repair that gives the customer the best chance of keeping the truck in service.

How Can AI Help Technicians Diagnose Forklift Problems Faster?

A significant part of diagnosis can involve locating the right technical information. Service procedures, fault-code guidance, wiring information, and standard work may exist across different manuals, files, or systems. Finding the correct resource can take time before physical testing even begins.

Werres uses an internal AI-assisted resource built around technical information our team has reviewed and made available to technicians. A technician can ask a specific service question and quickly locate relevant guidance without manually searching through several separate resources.

Every Werres technician is equipped with this capability. The customer benefit should not depend on which technician arrives. Broad access helps our service team find information more consistently across our territory and across an increasingly diverse range of equipment.

 

By giving technicians immediate access to reviewed technical information, AI-assisted diagnostics can reduce billable diagnostic time, support a faster and more accurate repair path, and help customers lower service costs while minimizing equipment downtime.

How Can Better Diagnostics Lower the Total Cost of a Forklift Repair?

Diagnostic labor is part of the repair bill. Faster access to reliable information can help a technician identify the correct repair path sooner and focus more of the service call on returning the truck to operation.

Since deploying AI-assisted diagnostics, Werres has saved customers approximately 18,000 hours of diagnostic time that otherwise would have appeared on their repair bills, all within the first five months. This means technicians are spending less billable time searching for technical information and more time identifying the problem, completing the repair, and returning equipment to service.

Better diagnostics may help reduce:

• Labor time spent locating technical information
• Unnecessary troubleshooting steps or parts replacement
• Escalations that delay the repair
• Repeat service visits caused by an incomplete diagnosis
• Operational disruption while equipment remains unavailable

Savings vary based on equipment condition, the failure, parts availability, and the work required. Even modest reductions in diagnostic time can become meaningful across repeated service events and an entire fleet.

AI can also support a stronger first-time-fix opportunity by helping technicians evaluate relevant possibilities earlier. It cannot guarantee that outcome: intermittent failures, unavailable parts, and the condition of related components may still require additional service.

What Can AI-Assisted Diagnostics Do, and What Still Requires a Technician?

AI helps a technician locate reviewed fault-code guidance, service procedures, and standard work more efficiently. It reduces information-search time without replacing the diagnostic process.

The technician still inspects the equipment, observes symptoms, performs testing, determines the root cause, completes the repair, and verifies safe operation. When digital guidance conflicts with physical evidence, the technician’s training and judgment take priority.

AI cannot physically evaluate a truck, guarantee a repair cost or completion time, or account for every condition in the field. Its value depends on accurate source information, ongoing maintenance, employee adoption, and human oversight.

How Does AI-Assisted Service Benefit a Mixed Forklift Fleet?

Mixed fleets can include equipment from different manufacturers, power sources, control systems, and applications. Faster access to reviewed technical information helps Werres technicians navigate that complexity more efficiently while continuing to rely on hands-on experience and training.

The Bottom Line

Customers should expect the same hands-on inspection, testing, safety procedures, and technician accountability required for any responsible repair. AI simply gives the technician a faster way to locate reviewed technical information.

The potential customer value is less diagnostic labor, fewer repeat service events, greater uptime, and a healthier fleet. It will not instantly solve every equipment problem or guarantee a lower bill, but it can make a skilled technician more efficient.

About the Expert Shawn Haden Sr. · Vice President of Operations Shawn Haden Sr. is Vice President of Operations at Werres Corporation. He oversees operational initiatives focused on technician support, service efficiency, customer uptime, and the continued development of Werres’ material handling capabilities.