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Oxmaint AI for Coal Power Plants – STPS AI Operations Blueprint

Super Thermal Power Station (SSTPS)stands as one of Rajasthan's most critical power generation assets,with a combined capacity of 2,820 MW across eight units. The unique challenge of operating...

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Local AI Deployment for Coal Power Plants | On-Premise & Audit-Ready AI

Coal power plants operating critical national infrastructure face unique challenges when adopting AI—balancing innovation with stringent safety protocols, cybersecurity requirements, and...

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AI Maintenance Management for Hotels | OXmaint Case Study – Kempinski

Luxury hotels operating 5-star properties and resort facilities face critical challenges with guest-impacting equipment failures, energy-intensive HVAC systems, and reactive...

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100% Ride Reliability at IMG Worlds Dubai | Theme Park Maintenance Case Study

When millions of visitors pour through your gates expecting world-class entertainment, every second of ride downtime costs you guest satisfaction and revenue. IMG Worlds of...

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AI Predictive Maintenance & Vision System – Steel Plant Quality Control Blueprint

Steel plants operating Universal Rail Mills (URM) face critical challenges: 10% rails rejected by RITES testing, 15% in-process quality issues, 29% of national derailments linked to rail/weld...

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AI Manufacturing Platform for Rail & Steel – Predictive Maintenance & Zero Downtime

Heavy industries operating rail manufacturing and steel plants face critical challenges with unplanned downtime, energy-intensive furnace processes, and manual maintenance...

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AI-Based Gantry Crane Modernization – Siemens Motors & VFD Upgrade Proposal

Industrial facilities operating gantry cranes with legacy joystick controls face critical limitations in precision positioning and automation readiness. Oxmaint AI-Vision Crane...

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Smart Digital Logbook for Shift Operations – AI-Powered Logbook Software

Operations teams across manufacturing, mining, oil & gas, and utilities lose thousands of hours annually to paper-based shift logging....

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Migrate from SAP PM/EAM to Modern CMMS – Oxmaint AI Advantage

Manufacturers running SAP Plant Maintenance (PM) or Enterprise Asset Management (EAM) are increasingly exploring modern alternatives to drive efficiency. This white paper...

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IBM Maximo Pain Points – Why Companies Switch to Modern CMMS

Many organizations using IBM Maximo eventually encounter significant pain points, especially when comparing to newer solutions. With maintenance teams demanding real-time mobile...

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Oxmaint AI vs IBM Maximo – Shutdown Maintenance & CMMS Comparison

Annual plant shutdown maintenance is critical for asset longevity and operational efficiency. With unplanned downtime costing up to $300,000 per day and maintenance inefficiencies causing...

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AI for Cement Plants – Optimization, Predictive Maintenance & Energy Savings

Cement producers today face a high-stakes balancing act—maximizing yield and quality while minimizing emissions, energy usage, and downtime. With kiln fuel alone consuming 20-30% of production...

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Digitizing Steel Plants – End-to-End AI Transformation & ROI Guide

The steel industry is undergoing its most significant transformation since the Bessemer process. Global leaders including Tata Steel, JSW Steel, SAIL, Emirates Steel, and Beshay Steel have pioneered AI-driven...

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OXmaint AI + Meta Ray-Ban Gen 2 Smart Glasses – Hands-Free Industry 4.0 Maintenance

Industrial maintenance is entering a transformative era where voice commands replace clipboards, smart glasses replace smartphones, and AI assistants replace manual data entry. The convergence of wearable...

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ABB PLC-OPC-Shift Logbook – Predictive Maintenance Development Specification & Operation...

Modern steel plants generate millions of PLC samples per shift. Presenting raw alarms or raw trends creates noise and operator fatigue. This framework converts second-by-second signals into...

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