End-to-end KPIs across your ERP, TMS, and WMS — with proactive issue prioritization that surfaces what's costing you margin before the next dashboard refresh.
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Pre-built and wired to the operational data — not a six-month BI build.
Click a metric. Drill all the way down. No second tool.
Anomaly detection trained on your operational baseline. Not generic thresholds.
Reconciled across carriers, lanes, and modes — no manual spreadsheet roll-up.
What changes when the reporting layer is wired directly to the data your team owns.
PDF decks and spreadsheets compiled by hand. By the time the QBR happens, the data is already a quarter old.
A metric is a number — not an answer. Drilling to the specific region, carrier, lane, or shipment means a second tool and a different team.
Drifts and trends go unnoticed because nobody's watching every metric. The first signal is usually a customer complaint or a margin miss.
Reconciliation is a three-person spreadsheet exercise that takes a week. Different teams cite different numbers from different sources.
Performance updates as the operational data arrives. The QBR view is the same view the team works from daily.
From network OTIF to the specific PO line in the same view. The metric and the explanation live together.
Detection models trained on your operational baseline. The metric flags itself when something meaningful moves — your team isn't hunting.
Same definitions, same source data, same drill paths. Month-end stops being a reconciliation project.
30 minutes. We walk through a sample KPI tree on operational data like yours, show how a metric drills to root cause, and demonstrate anomaly detection on the metrics your team owns.