Module 2.2

Production Tracking & AI Efficiency

Core Module
Problem Statement

Production tracking is often delayed and incomplete. This makes it difficult to:

  • Identify efficiency loss points (filling, packing)
  • Quantify downtime patterns & stoppages
  • Capture waste in a structured, actionable way
Our Approach

A production run workflow combining digital checklists with AI-based metrics.

Run Execution & Checklists

Start/pause/end tracking with standardized audit checkpoints.

AI Camera Metrics

Automated throughput counting & "zero-minute" stoppage detection.

Variance & Waste Reporting

Real-time reports on downtime, planned vs. actual FG, and waste.

Production Run Console
Production Run Console
Downtime: 14m
AI Counting Metrics
AI Line Metrics
Variance & Waste Summary
Waste & Variance