How leading enterprises use AIONDATA to drive measurable business outcomes.
Reducing equipment downtime and maintenance costs across 50+ production facilities
Implemented ML-powered predictive analytics to forecast equipment failures and optimize maintenance schedules
Achieved 40% reduction in unplanned downtime and $2.5M annual cost savings
High customer churn rate impacting revenue growth and customer lifetime value
Developed deep learning model to identify at-risk customers and trigger personalized retention campaigns
Reduced churn by 35% and increased customer retention revenue by $5M annually
Inefficient inventory management leading to stockouts and excess inventory costs
Built AI-powered demand forecasting and inventory optimization system
Improved forecast accuracy by 45% and reduced inventory costs by $3M