Turning Manufacturing Data into Intelligence

Artificial Intelligence in manufacturing delivers results only when supported by accurate, structured, and contextualized data.

Research shows that before launching an effective AI initiative, factories need at least 12 months of reliable data collection across production, maintenance, and quality processes. Without this foundation, most projects struggle to produce meaningful insights.

We combine our experience from dozens of manufacturing projects with the data already flowing through Fabrico to build AI modules tailored to your production reality.

Our models can learn from your machines, operators, and historical performance to improve the manufacturing process. We utilize our deep experience in building AI solutions and the data you already have in Fabrico to create modules.

Leveraging machine condition data and performance trends, Fabrico enables predictive maintenance models that forecast potential failures before they occur. By analyzing vibration, temperature, runtime, and OEE degradation patterns, the system predicts asset behavior and recommends optimal maintenance windows. Maintenance teams receive actionable alerts - preventing breakdowns, minimizing unplanned downtime, and extending asset life. This approach replaces reactive maintenance with a proactive reliability strategy, aligned with TPM and Six Sigma goals.

When predictive analytics are combined with Fabrico’s scheduling engine, manufacturers can plan production based on future machine availability rather than assumptions. Knowing the predicted uptime and performance capability of each line allows planners to create high-accuracy, data-driven production schedules. This results in fewer disruptions, more stable flow, and maximum utilization of available capacity — making Fabrico one of the most advanced planning tools in modern manufacturing.

The Fabrico Agent focuses on process optimization and schedule refinement. Using historical master data, backlog of inefficiencies, and live production plans, it automatically adjusts scheduling parameters to improve flow and reduce idle time. The agent identifies bottlenecks, prioritizes tasks, and can reschedule production orders to optimize machine utilization and resource allocation. This intelligent automation supports continuous improvement by translating complex operational data into real-time decision-making — a key enabler of self-optimizing production systems.

The Fabrico Assistant acts as an intelligent advisor, combining manufacturer documentation, maintenance manuals, and historical performance data to provide actionable insights. It recommends optimal procedures for equipment setup, maintenance, or quality checks, ensuring operators always have the right information at the right time. The assistant helps standardize knowledge, reduce training time, and improve operational consistency across shifts and sites — reinforcing Lean principles of standard work and knowledge sharing.

Beyond standard modules, Fabrico’s AI and Machine Learning team develops customized models tailored to specific operational challenges — from defect classification to energy efficiency optimization. Working closely with clients, our experts design and train AI systems using each plant’s unique data environment. This approach ensures measurable ROI, scalable implementation, and continuous learning as the system evolves with the factory. Fabrico doesn’t just collect data — it turns it into actionable, intelligent insight that drives measurable improvement across every level of production.

How an AI project with Fabrico works

Title:
From idea to live AI module in weeks, not years

Steps:

1. Discovery & use-case selection
   We map your processes, data sources and business goals 
2. Data connection & preparation
   Fabrico connects to your existing systems and machines, consolidating data into one model ready for AI.
3. Model building & validation
   Our team builds and trains AI models on your historical data, validating results with your engineers and planners.
4. Deployment inside Fabrico
   The AI module appears directly where people work today — within Fabrico’s dashboards, scheduling views, and alerts. No extra tools.
5. Continuous refinement
   As new data comes in, models get retrained and KPIs are tracked, so you see measurable impact over time.

Why choose Fabrico for AI

Title:
Why our AI works on the shop floor, not just in slides

Bullet points:

• Embedded in daily workflows – Operators, planners, and managers see AI insights inside the tools they already use.
• Data-source agnostic – We connect to your current stack instead of forcing a rip-and-replace.
• Co-created with your team – We validate every module with your process engineers and production leaders, ensuring trust and adoption. 

Domain expertise built-in – We focus solely on manufacturing, so our models reflect real constraints like changeovers, tooling, and shift patterns.