In manufacturing, even brief delays can ripple across operations, leading to financial losses and damaging customer confidence.
What if you could identify these delays before they happen? With IFS.ai Operation Time Prediction, you can.
Predict Delays Before They Happen
The newly released IFS.ai Operation Time Prediction feature, part of the May 2025 IFS Cloud release, harnesses the power of artificial intelligence and machine learning to anticipate potential shop floor delays. The intelligent system examines multiple operational inputs, including time of day, weekday patterns, and scheduled output, to precisely forecast machine run times for each step in production. This allows production planners and schedulers to proactively address potential issues, instead of reacting to problems after they occur.
Whether it’s rescheduling operations to meet a production deadline or reallocating resources to avoid bottlenecks, having advanced insight into potential delays empowers manufacturers to make informed, data-driven decisions.
Real-Time Insights for Maximum Efficiency
At its core, IFS.ai Operation Time Prediction uses a trainable machine learning algorithm to detect trends that impact production performance. Unlike static systems that rely on historical averages, this feature dynamically adapts to changing shop floor conditions, providing fresh insights with each use.
This means no more guessing when planning production runs. Instead, production planners can confidently rely on AI-driven predictions to adjust workloads, optimize capacity planning, and improve on-time delivery rates.
This feature also helps identify systematic delays, enabling production engineers to address root causes and improve processes long-term. By catching inefficiencies early, teams can implement improvements that deliver lasting value across operations.
Who Should Care?
More than a planning aid, this capability serves as a strategic advantage for CIOs, manufacturing directors, and senior production leaders. For executive leadership focused on operational excellence and digital transformation, IFS.ai Operation Time Prediction represents a tangible ROI. It bridges the gap between data and action, offering a clear competitive advantage in today’s lean manufacturing environment.
With precise predictions and actionable insights, organizations can not only reduce production delays but also improve customer satisfaction, reduce cost overruns, and elevate overall operational agility.
The Bottom Line
In efficient manufacturing, precision and speed are everything. IFS.ai Operation Time Prediction transforms data into foresight, enabling smarter decisions that reduce delays, optimize resources, and protect margins. This is more than a feature; it’s your early warning system for potential production disruptions.
If you’re serious about overcoming operational challenges, improving schedule accuracy, and making smarter resource decisions, it’s time to invest in intelligent production planning with IFS.ai Operation Time Prediction.
SOURCE: Dawn Brusseau (2025 August 13) Stay Ahead of Production Delays with IFS.ai Operation Time Prediction. IFS Blog. https://blog.ifs.com/2025/08/stay-ahead-of-production-delays-with-ifs-ai-operation-time-prediction
