Environmental stability in temperature and humidity reduces product loss, depending on product sensitivity and facility scale.
Consistent moisture and temperature control extends shelf life predictability, reducing returns and waste.
Real-time monitoring and automated alerts reduce compliance risk and audit exposure from environmental excursions.
Visibility into HVAC and refrigeration inefficiencies reduces energy waste without compromising product safety.
Use the SensFlo ROAI Calculator to estimate the financial effect of recovering productive time, increasing output, and reducing operating losses.
Three proven steps to transform your manufacturing operations
Attach a sensor to any machine in under 60 seconds. No wiring, no control system access, no production interruption.
Under 60 seconds per machine
Works with any equipment
No wiring or programming
FloControl™ converts raw machine signals into organized production data: utilization, downtime, cycle time, and shift performance, updated continuously.
Real-time pattern detection
Predictive maintenance alerts
Automatic anomaly detection
Your team gets accurate, current data to work from. Most customers identify losses they didn't know they had within the first 30 days and see 20%+ improvement in utilization.
Smart alert routing
Operator workflow tools
20% min utilization gains
Book a call and see how SensFlo scales with your production environment
Direct answers to key operational and financial questions
SensFlo complements existing ERP, MES, quality, and food safety systems by providing current machine and production data. FloControl™ can give these systems a more accurate view of machine availability, downtime, cycle performance, utilization, and selected process conditions.
SensFlo can collect equipment, process, alert, and event data related to procedures established by the facility. The facility determines its hazards, preventive controls, critical control points, critical limits, monitoring frequency, corrective actions, verification requirements, and approved instruments. FloControl helps organize relevant production data for faster review and response.
Food and beverage production monitoring collects machine activity, downtime, throughput, equipment condition, and selected process measurements while production is running. It gives operations, maintenance, and quality teams a shared view of production performance. The information can support capacity improvement, maintenance planning, scheduling, waste reduction, and records associated with established food safety procedures.
Pricing is based on monitoring points, facility scope, and operational complexity. The model aligns costs with compliance protection and operational value. Detailed pricing structure and ROI modeling are available on our pricing page.
Implementation requires coordination with production, quality, and maintenance teams. SensFlo provides onsite training and deployment support. No specialized IT or data science resources are required for ongoing operation.
No. SensFlo complements existing MES and quality management systems by providing real-time environmental visibility and anomaly detection. It does not replace batch tracking, recipe management, or regulatory documentation systems.
Most facilities see measurable product loss reduction and compliance improvement within the first 90 days. Full ROI, including energy savings and throughput gains, typically occurs within 12 to 18 months, depending on facility scope and baseline performance.
All data is encrypted in transit and at rest. SensFlo operates within your facility network security framework. Access controls are role-based and configurable. Data does not leave your operational environment unless explicitly authorized.
Yes. SensFlo is designed to work with both modern and older food processing systems. Sensors monitor environmental and process variables independently, providing visibility without requiring equipment upgrades.
SensFlo uses food-grade sensors that monitor temperature, humidity, moisture, and pH across processing and storage environments. Installation does not require equipment replacement and connects to existing facility network infrastructure.
Initial sensor installation typically completes within 3 to 4 weeks for a standard processing facility. Full data integration and AI-driven insights are operational within 60 to 90 days. Deployment is modular and designed to minimize disruption to production schedules.