# Fleet management and route optimisation

Dispatch, drivers and customers needed one real-time view of a delivery fleet. Real-time tracking, geofencing and ETA prediction, unifying dispatch, drivers and customers on one platform.

- **Sector**: Logistics
- **Disciplines**: Platform · ML
- **Practices**: [Product engineering](https://www.winapps.co.in/services/product-engineering/), [Data & analytics](https://www.winapps.co.in/services/data-analytics/), [AI & machine learning](https://www.winapps.co.in/services/ai-ml/)
- **Client**: Under NDA. References available on a call.

## The challenge

A delivery business needed dispatch, drivers and customers to work from the same real-time picture of its fleet.

## Our approach

We built a platform with real-time tracking, geofencing and machine-learning ETA prediction. A React front end serves dispatch, Go services handle tracking and geofencing, and Kafka streams events between them.

## Architecture

- **Apps**: Dispatch (React), Drivers, Customers
- **Streaming**: Kafka event stream
- **Services**: Go services, Real-time tracking, Geofencing
- **Intelligence**: ETA prediction (ML)

Illustrative architecture, simplified to protect client confidentiality.

## Results

Outcome details for this engagement are shared under NDA. We're happy to walk through results and put you in touch with a reference on a call.

## Stack

- React
- Go
- Kafka
- ML

Next case study: [AI predictive maintenance across multi-plant manufacturing](https://www.winapps.co.in/work/ai-predictive-maintenance/) ([Markdown](https://www.winapps.co.in/work/ai-predictive-maintenance.md))

## Facing something similar?

A senior engineer, not a salesperson, replies within one business day. NDA available before any detailed discussion.

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