DeliverEase

A simple delivery management tool that helps businesses assign riders, track orders in real time, and streamline last-mile logistics without manual coordination.

Comment

I built DeliverEase, a simple delivery management system designed to help small businesses organize and track their deliveries more efficiently.

The idea came from observing how many businesses handle deliveries in real life. Most of them rely on phone calls or messaging apps, which quickly becomes messy orders get lost, riders get confused, and customers keep calling to ask where their package is. I wanted to create something simple that could bring structure to that chaos.

Inspiration

The biggest inspiration was seeing how common delivery problems are in everyday business operations, especially in places like Nairobi. Small businesses often don’t have access to advanced tools, so they manage everything manually:

  1. Writing orders down
  2. Calling riders individually
  3. Trying to remember delivery statuses It’s stressful and inefficient, and I felt there should be a better way.

How I Built It

I used MeDo to build the entire application by describing what I wanted in natural language. Instead of writing everything from scratch, :

  1. Broke the system into small features (orders, riders, assignments)
  2. Gave clear prompts to generate each part
  3. Improved the app step by step through iteration What stood out to me was how fast I could go from an idea to a working system just by refining my prompts.

⚙️ What It Does

DeliverEase allows a business to:

  1. Create delivery orders
  2. Add riders
  3. Assign riders to orders
  4. Track delivery progress from start to finish

Everything is organized in one place, making it much easier to manage daily operations.

What I Learned

This project taught me a lot about:

  1. Thinking in terms of real-world problems before jumping into code
  2. Structuring clear instructions for AI tools like MeDo
  3. Designing simple but effective workflows
  4. How delivery systems actually work behind the scenes

Challenges

One of the biggest challenges was getting the structure right.

At first, it was easy to generate parts of the system, but making everything work together smoothly especially order status updates and rider assignments required careful thinking and iteration.

Another challenge was keeping the system simple while still making it useful.

Future Plans

If I continue working on this, I’d like to:

  1. Add payment tracking (for services like M-Pesa)
  2. Include notifications so customers can get updates
  3. Add real-time location tracking
  4. Store data permanently using a database
  5. Deploy it more widely using tools like Docker

Final Thoughts

This project really showed me how powerful AI tools like MeDo can be. What would normally take a lot of setup and coding can now be built much faster, as long as you know how to clearly describe what you want. DeliverEase is a simple project, but it solves a real problem and that’s what makes it meaningful.

Built With

Share this project:

Updates