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FLEET BENCHMARKING AGENT
The Industrial Asset Benchmarking Agent
Data-Driven Proof Across Your Entire Fleet
The industrial AI agent that evaluates the overall performance of your equipment and anonymously compares key indicators (OEE, MTBF, MTTR) across different sites or similar machines.
business IMPACT
Data-Driven Upselling
Comparative analysis between similar equipment clarifies, quantifies and justifies the real gains you can deliver. By leveraging irrefutable proof from your connected fleet, you overcome client objections and accelerate the sale of maintenance contracts or upgrade packages.
A New Asset Valuation Model
Transform raw industrial data from your connected machines into a premium, high-value service. The agent automatically produces anonymized performance evaluations (OEE, MTBF, MTTR) to clarify, audit and demonstrate the real efficiency of your equipment.
Identify Optimization Opportunities
Precisely locate the performance level of each of your end clients’ sites. If a plant or production line underperforms compared to its category average, you immediately have irrefutable arguments to recommend targeted training or hardware upgrades.
from concept to ACTION
How the Agent Works
1
Active Listening (AIoT)
The agent continuously collects and analyzes internal physical data from the equipment, such as motor speed, current intensity, torque and power output.
2
Query or Detection
The manager queries the machine in natural language, or the agent autonomously detects abnormal behavior or a performance drift on the line.
3
Interpretation & Diagnosis
AI deeply analyzes raw data streams to assess the asset’s health status, isolate the root cause of underperformance and rule out false alerts.
4
Prescriptive Orchestration
The agent dictates the corrective action. If a confirmed failure is detected, it generates the report and automatically triggers the iLean agent to guide the repair process.
FAQ
It is an industrial asset evaluation and comparison agent. It benchmarks the key performance indicators (MTBF, MTTR, Availability, OEE) of a specific machine against the anonymized average of the rest of the connected fleet, enabling precise assessment of equipment value and efficiency.
It precisely detects local underperformance compared to similar machines. For example, the agent can identify that a machine takes 12 minutes to restart (MTTR) versus a fleet average of 4.2 minutes — highlighting a net time saving of nearly 8 minutes per stoppage to optimize.
It transforms commercial conversations through the power of data-driven proof. The OEM can factually demonstrate untapped productivity gains to clients (Upselling), showcase its expertise and accelerate the sale of targeted services, training programs or hardware upgrades for underperforming plants.