Inventory accuracy from 82% to 98% without full stock counts
Continuous cycle-count targeting focused counting effort where discrepancies were most likely.
Guides, case studies and automation playbooks to help your business get more from AI.
Continuous cycle-count targeting focused counting effort where discrepancies were most likely.
Continuous slotting optimisation placed fast-moving items closer to dispatch, cutting picker walking time.
Inventory data was consolidated and cleaned continuously, ending the disputes over what stock actually existed.
Earlier visibility of supply gaps allowed standard shipping decisions instead of last-minute air freight.
PO creation, confirmation chasing and exception handling were automated end to end.
Statistical forecasting with promotion and seasonality modelling replaced spreadsheet-based planning.
Continuous supplier monitoring surfaced financial and delivery risk early enough to qualify alternatives.
Automated screening of scientific literature surfaced relevant safety and competitive signals without a larger team.
Manufacturing batch records and deviation reports were generated from production data, shortening release timelines.
Site queries and protocol questions were answered instantly, reducing study coordinator burden across 40 sites.