DecisionTower™

AI machine vision for optimal end-of-line packaging

Your business loses time and money every time a packaging machine jams, which makes minimizing downtime and boosting throughput crucial to optimize productivity. AI and machine vision can help. Ranpak’s DecisionTower™ uses AI to detect out-of-scope boxes, which both optimizes packing and prevents machine stops to help you realize unrivaled ROI.

It not only reduces reliance on end-of-line operators for quality control, but also captures data to prevent future errors from rough handling or faulty packaging. DecisionTower uses AI to maximize equipment uptime, customizing processes for your business.

What DecisionTower does for you

DecisionTower uses AI-assisted machine vision to maximize your end-of-line equipment uptime to tailor your business processes for operational excellence.

Quality inspection for maximum line efficiency

Downstream quality inspections for high-quality parcels and avoidance of unplanned machine stops
Pre-emptive fixing of out-of-scope boxes, enabling best machine utilization
Rerouting to hospital lane for reworking, optimizing continuous production flow and turning unplanned work into planned work

Data-driven insights for better decision making

Hard data on void levels, for compliance checks and improved packaging
Recorded figures on throughput, error rates, & processed versus rejected packages
Learn from statistics on out-of-scope boxes – fundamental data for operational improvements

Sophisticated and future proof

Unique 2D/3D combined computer vision: the optimal solution for multiple inspection tasks
AI that creates new machine-learning algorithms based on your line
Modular, future-proof software
Easy to implement and optimized for Ranpak box closing machines

The machine availability challenge

Machine availability is a crucial metric for your packaging operation, impacting the entire business. Most AutoFill™ or Cut’it!™ EVO downtime comes from out-of-scope boxes caused by manual packaging errors under pressure. DecisionTower prevents downtime by identifying potential issues before they lead to jams. Automatic inspection flags or diverts defective boxes, resolving problems before they lead to lost productivity. DecisionTower’s algorithms are refined from years of data drawn from field experience with these solutions.