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Illustrative figures modelled on typical mid-market deployments — not verified customer results.
See it answer · Logistics operations
Here Adaptrix works a live operations question: is average transit time about to breach a 3.5-day SLA? The decision engine forecasts the breach, attributes the +0.9-day slip to one congested lane and a carrier-mix shift, and recommends the reroute that restores the SLA — before the penalty clause triggers.
That is the pattern behind each use case below: forecast with confidence, explainable driver attribution (SHAP), root cause, and a recommended action — with SQL + provenance on every answer.
Avg Transit Time · 12 wk actuals + forecast
forecast 4.6 d
Congestion on one lane plus a carrier-mix shift lengthens transit.
Projected · restore to 3.6 d within a month
Scripted replay with illustrative data — not a live customer environment.
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