This guide makes the case that manufacturers chasing AI and robotics

are skipping the foundational step: trustworthy data.

Drawing on the same 1,293-conversation dataset, it shows that with 85-

92% inventory accuracy, 23-hour data latency, and paper-dependent

workflows, AI has nothing reliable to optimize.

The guide outlines a four-phase playbook:

1. Stabilize accuracy with barcode scanning
2. Add WMS with ERP integration
3. Standardize lot/serial tracking and dashboards
4. Pilot AI selectively only after hitting clear readiness thresholds

(99%+ accuracy, <0.5% pick error rate, real-time ERP sync).

The core argument: barcoding, bin tracking, and directed workflows

don't make headlines, but they make money -- and they make AI

possible when the time is right.