See late shipments before they disrupt production and prevent costly line stoppages.
Late ASNs shut down production lines, costing $20K–$50K per hour in lost output
Planners react to delays too late, scrambling for expensive expedited shipments
Excess inventory tied up as safety stock because suppliers can't be trusted
Monitor ASNs, carrier tracking, and port congestion data across all inbound suppliers
AI identifies which shipments will arrive late based on carrier performance and disruption patterns
Automated alerts sent to planners 3–5 days early with alternative sourcing or schedule recommendations
Zero line stoppages, 50% fewer expedited shipments, 20% reduction in safety stock
We're transparent about what's live, what depends on data, and what's planned.
Inbound IQ predictions depend on Advanced Ship Notice (ASN) data quality from suppliers and ERP integration depth. Suppliers without EDI (Electronic Data Interchange) capabilities provide less accurate shipment visibility.
Delay predictions improve with historical data. New implementations require 2–3 months of operation to establish baseline performance patterns for each supplier and route.
From 4–6 per month
Saving $300K+ annually
Freeing up working capital
No more unplanned stoppages, smoother manufacturing flow, fewer expedited shipments.
Join manufacturers using Inbound IQ to predict ASN delays and keep production flowing
Free consultation • ERP integration included • Launch in weeks
Discover Inbound IQ