SensFlo’s part recording agent captures detailed, real-time data for every part as it moves through production, ensuring complete traceability from start to finish. This feature logs key attributes, timestamps, and process milestones automatically, supporting quality assurance and compliance requirements.

With full visibility into each part’s journey, your team can quickly identify bottlenecks, verify quality, and maintain operational integrity.

SensFlo’s CPQ feature streamlines your sales process by automating product configuration, pricing, and quoting based on real-time operational and material data. It simplifies complex sales cycles, ensuring quotes are accurate, competitive, and aligned with production capabilities.

This precision speeds up response times, reduces errors, and strengthens your ability to close deals profitably.

SensFlo’s duedate prediction feature uses machine learning to forecast realistic delivery dates based on live production data and historical trends. By accounting for variables like capacity, lead times, and current workloads, it enhances planning accuracy and keeps projects on track.

This capability strengthens customer trust and improves on-time delivery performance, driving both efficiency and satisfaction.

SensFlo’s NoteAI™ feature transforms raw operational data into actionable intelligence by delivering tailored alerts and notifications. Using advanced algorithms, it analyzes key metrics and flags anomalies or performance shifts instantly, ensuring your team stays ahead of potential issues.

This smart alert system supports faster, data-driven decisions that keep your operations running efficiently and profitably.

SensFlo’s predictive maintenance feature leverages AI to monitor machine health and forecast potential failures before they occur. By analyzing performance data in real time, it enables your team to schedule maintenance proactively, avoiding costly unplanned outages.

This not only extends equipment lifespan but also keeps production running smoothly and optimizes maintenance budgets.

SensFlo’s predictive scrap feature uses advanced AI models to analyze production patterns and detect early signs of waste or defects. By identifying process inefficiencies before they escalate, it helps your team take corrective action proactively, reducing scrap and optimizing material use.

This forward-looking approach not only cuts costs but also strengthens overall production quality and consistency.