Logistics
Real-time visibility across the supply chain
Designed a streaming data platform giving operations teams live shipment tracking and forecasting.
The challenge
Operations ran on overnight batch reports. By the time a delay surfaced, it was already a customer problem, and forecasting was guesswork built on stale data.
- Operations ran on overnight batch reports
- Delays surfaced only after they became customer problems
- Forecasting was guesswork built on stale data
Our approach
We designed a streaming platform to ingest events in real time, modeled the data for both live dashboards and forecasting, and put governance and quality checks in place so teams could trust what they saw.
- Designed real-time streaming ingestion for live events
- Modeled the data for both dashboards and forecasting
- Added governance and quality checks teams could trust
The outcome
Reporting latency dropped by 90%, operations could act on delays as they happened, and forecasting accuracy improved enough to change how the team planned capacity.
- Reporting latency down 90%
- Operations act on delays as they happen
- Capacity planning moved from guesswork to data
How it works
The path a request takes through the system.
- 1IoT & events
- 2Kafka stream
- 3Processing
- 4Warehouse
- 5Live dashboards
Results
- Reporting latency down 90%
- Live shipment tracking for operations
- Forecast accuracy materially improved
- Capacity planning moved from guesswork to data
What we delivered
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