The Inventory Accuracy Problem

Inventory accuracy is the foundation of warehouse execution. If the WMS says a product is in location A-12-3 but it is actually in B-07-1, the picker wastes time searching, productivity drops, and orders may ship late or incomplete. Industry benchmarks suggest that even well-run warehouses operate at 95-97% location-level accuracy — meaning 3-5% of pick trips encounter a discrepancy.

Traditional cycle counting approaches fall into two categories: - ABC counting — A items counted monthly, B quarterly, C annually. Simple but ignores that a stable A-item may never need counting while a volatile C-item might need weekly counts. - Random counting — Count N random locations per day. Statistically sound but wastes counts on locations that are almost certainly correct.

AI-Driven Count Prioritization