CASE STUDY
Increase in daily production throughput across plants
Annual savings via energy optimization and reduced downtime
Acceleration in process turnaround cycles
Drop in material and process waste through standardization
A global provider of sustainable packaging solutions was facing chronic slowdowns across its North American converting plants. Legacy systems, manual workarounds, and siloed workflows created frequent handoff delays and inconsistent outputs. Operational data existed—but scattered across MES logs, maintenance records, and spreadsheets—making it nearly impossible to diagnose issues or optimize at scale. The result: missed SLAs, rising costs, and mounting pressure to modernize.
We deployed AI-powered process mining agents to map actual workflows across production lines, uncovering hidden bottlenecks, skipped checks, and unplanned downtime patterns. These insights guided a redesign of high-friction processes—introducing rule-based automation, clean handoffs, and standard operating procedures grounded in behavioral data. We optimized workflows across scheduling, quality control, and maintenance, enabling plant managers to act on live metrics and drive continuous improvement with clarity.
In heavy manufacturing, we replaced guesswork with ground truth—mapping real workflows, automating key steps, and forging an operation that runs with precision.
We streamlined hardware delivery from blueprint to box—breaking silos, syncing global teams, and wiring design ops for speed in a high-stakes market.
We reengineered food production for flow—turning chaotic kitchens and clunky handoffs into seamless cycles that keep every meal moving with purpose.