Supply Chain · AI accelerator
Delivery Predictor
ETA + exception prediction for inbound and outbound.
85–92%
ETA accuracy
−25 to −35%
Late deliveries
−30 to −45%
WISMO contacts
4–7 months
Payback period
Dv
Delivery Predictor
SC · No. 81 of 117
What it does
Delivery Predictor in production
- Predicts ETAs from GPS, port and carrier feeds
- Flags shipments likely to miss promise dates
- Scores delay risk by lane, carrier and season
- Notifies customers of revised delivery windows
- Reprioritises inbound receiving on predicted arrivals
- Recalibrates models on actual arrival times
45-second film: the Delivery Predictor tile, an animated mockup and the KPI impact.
How it ships
Live in 6–9 weeks, inside your perimeter
Deployment options
On-premise (air-gapped)Private cloudManaged cloudHybrid
Integrates with
FourKitesproject44ShippeoSAP S/4HANASalesforce Service CloudTwilio
Technology stack
PythonLightGBMApache KafkaPostGIS
Compliance & security
ISO 28000SOC 2 Type IIGDPRC-TPAT
In production
Case studies using Delivery Predictor
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See Delivery Predictor running inside your environment
A 20-minute technical walkthrough, no slides. Ships in 6–9 weeks.