IoT Solutions

We build AI-powered analytics dashboards that transform IoT sensor data into actionable business insights in real-time. Our machine learning models identify patterns, predict trends, and generate automated alerts for anomalies. We implement custom KPI tracking, predictive maintenance scheduling, and performance optimization recommendations—enabling data-driven decisions that improve operational efficiency by 40%.

Our AI-powered energy management systems analyze consumption patterns, weather data, and operational schedules to optimize energy usage automatically. We implement machine learning models that predict demand, schedule high-energy tasks during off-peak hours, and identify energy waste. Our intelligent optimization reduces energy costs by 35%, lowers carbon footprint, and ensures sustainability goals are met through automated efficiency improvements.

We leverage AI to optimize supply chain operations through demand forecasting, inventory optimization, and route planning. Our machine learning models predict demand with 90%+ accuracy, optimize stock levels to prevent shortages and overstock, and suggest optimal delivery routes. We implement real-time tracking with predictive ETAs and automated reordering—reducing inventory costs by 30% and improving delivery efficiency by 25%.

We implement computer vision and machine learning for automated quality control in manufacturing and production. Our AI systems inspect products at production speed, detect defects with 99%+ accuracy, identify process variations, and predict quality issues before they occur. We use deep learning models trained on millions of images to catch defects invisible to human inspectors—reducing defect rates by 60% and eliminating costly recalls.