TrackvyML turns RFID and IoT sensor data into proactive operational control.
TrackvyML solves the specific problems of high-risk value chains by combining RFID, IoT and BLE sensor data with machine learning models trained in production.
Your data is sovereign. We deploy AI models in private instances, activating them only when your operation requires it, ensuring your strategic information stays within your company.
Full solution at accendo.com.co Request InformationFour areas where TrackvyML generates measurable operational value
Move from reactive counting to predictive planning. Predict stock-outs, automate replenishment, and refine forecasts to handle seasonal volatility.
Detect unauthorized movements with anomaly algorithms, analyze machinery utilization, and identify underused items to optimize CAPEX.
Analyze dwell times, control shrinkage, and predict loss patterns before they become systemic in tools, RTI, and IT equipment.
Reconstruct how people, items and inventory move. Discover the gap between the written SOP and floor reality. Identify structural bottlenecks.
Every diagnostic ends with a deliverable defined before we begin.