At a glance
- Client
- A last-mile logistics companyName withheld for confidentiality
- Focus area
- Operations
- Service
- Data & Analytics
- Scope
- Event pipelines, operations dashboard and alerting
The challenge
The company handled around 10,000 deliveries a day, but problems like missed pickups, delays and failed deliveries surfaced only in end-of-day reports or when customers complained.
By then it was too late to fix them, and SLA penalties kept adding up.
Our approach
Capture every event
Scans, GPS updates and driver app events stream into one pipeline.
Define exceptions
With operations leads we set clear rules for what counts as at risk or late.
Alert the right people
Exceptions go to the responsible hub or dispatcher with the details needed to act.
Learn from patterns
Weekly analysis shows which routes, hubs or times cause the most problems.
The solution
Operations teams now watch a live map of deliveries and receive alerts the moment a shipment is at risk, while there is still time to reroute or contact the customer.
Managers use the same data to fix recurring problems instead of firefighting the same issues daily.
Results
- Live visibility of every delivery
- Automatic alerts for at-risk shipments
- Clear ownership for each exception
- Root-cause analysis of recurring delays
Technology used
- Event streaming
- BigQuery
- Looker
- Alerting integrations
- Python
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