Industry & Logistics
Optimize production, reduce logistics costs, and predict failures with artificial intelligence in industry.
Industry Challenges
Reactive maintenance and downtime
Equipment breaks without warning, causing unplanned downtime and high repair costs.
Supply chain without visibility
Lack of traceability and predictability in the supply chain, causing delays and extra costs.
Manual quality control
Visual and manual inspections that are slow, inconsistent, and let defects pass.
Low energy efficiency
High energy consumption without intelligent monitoring and production process optimization.
How Stairs Solves It
Predictive maintenance with IoT and AI
Sensors + ML models that predict failures before they happen, eliminating unplanned downtime.
Intelligent logistics optimization
Routing algorithms, demand forecasting, and fleet management that reduce logistics costs.
Computer vision for quality
AI cameras that inspect products in real time with precision superior to human inspection.
Real-time production dashboard
Complete monitoring of the production line with intelligent alerts and OEE optimization.
Proven Results
Predictive maintenance that reduced downtime by 60%
We implemented a predictive maintenance system with IoT and machine learning that monitors equipment in real time and predicts failures in advance.
-60%
Unplanned downtime
-35%
Maintenance cost
+25%
Efficiency (OEE)
4x
ROI in 10 months
Why Stairs for this industry
Experience with IoT integration and SCADA/MES systems
AI models for manufacturing and logistics
Integrations with industrial ERPs (SAP, TOTVS)
Cases in Industry 4.0 and supply chain
Ready for Industry 4.0?
Let's talk about how AI can optimize your production, logistics, and reduce operational costs.