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## The problemAt high-volume freight operations, exceptions — weather delays, carrier no-shows, customs holds — usually surface through customer complaints, not internal systems. The average gap between an issue becoming detectable and a coordinator noticing it can stretch eight hours, by which point the SLA is already gone.## What this app doesA coordinator workspace that opens to a sorted exception queue, ranked by revenue at risk and SLA breach probability. Each exception comes with a machine-built root cause (TMS event + GPS deviation + weather signal correlated automatically) and a recommended recovery action. Systemic clusters — repeat failures by carrier or lane — surface as patterns, not isolated incidents.## Key takeaways- Detection time drops from hours to under thirty minutes- Exceptions pre-ranked by revenue and SLA impact- Root cause attribution skips the manual investigation step- Carrier and lane patterns surface for procurement leverage## Who it's forSupply chain and logistics operations leaders managing tens of thousands of shipments who need detection speed and systemic visibility, not more raw alerts.