Logistics
Exception prediction for a 3PL operator
12% lower cost per shipment through earlier intervention
GrowthHigh operational costn8n
0%
Lower cost per shipment
0%
Documentation effort removed
Live
Customer visibility
Context
The situation we walked into.
Operations teams discovered delays when customers called, and documentation was processed manually overnight.
Approach
- 01
Automated POD, invoice and customs document processing
- 02
Built delay and detention risk models on historical movement data
- 03
Routed predicted exceptions to owners with SLA timers
- 04
Launched a customer self-service visibility portal
Result
What changed for the business.
Exceptions are now handled before they escalate, and customer service contact volume dropped sharply.
Services involved
Business AutomationRemove manual effort from the workflows that carry your business.Custom SoftwarePlatforms engineered around your process, not the other way round.Enterprise AIAI that runs inside your business, under your control.Data EngineeringTrusted data feeding decisions leaders actually use.Cloud & InfrastructurePlatforms that are cheap to run and safe to change.Cyber SecuritySecurity posture you can evidence to a board or a regulator.
Industry solution
Core technology
Assess and plan
AI Readiness AssessmentScore your organisation across six readiness dimensions in about ten minutes.Enterprise AI Readiness ChecklistThe seven-dimension checklist we use before committing to an enterprise AI programme.Downloads centreCapability statement, readiness checklist and other practitioner material.
Want an outcome like this
in your organisation?
We will share the full delivery plan behind this programme and where the comparable risks sit for you.