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Sahil: The Smart Supply Platform

Sahil revolutionizes supply chain management in Africa by connecting businesses, suppliers, and couriers on a single platform. It leverages smart matching algorithms and intuitive interfaces to simplify procurement and delivery.

saas
Sahil: The Smart Supply Platform

Inspiration

The challenges faced by businesses and suppliers in Africa in managing supplies, finding reliable couriers, and streamlining operations.

Problem

Fragmented supply chains, inefficiencies in delivery processes, and lack of data-driven decision-making tools for businesses and suppliers.

Solution

A unified platform that matches businesses with suppliers and couriers based on dynamic metrics like price, availability, and Sahil Score, while also offering tools like composite orders and delivery tracking.

Technology

Advanced matching algorithms, Sahil Score metrics, and user-friendly interfaces built with React and Node.js.

Impact Measurable Outcomes

Quantifiable metrics and real-world performance shifts observed following the implementation of this experiment.

I

Hackathon Success

Won the MTN Momo Hackathon 2023 in South Sudan
II

Media Coverage

Featured in News Articles and was Nominated for the East African Startup Awards
III

National Recognition

Second place at a National Competition

Future Vision Strategic Roadmap

The architectural evolution and long-term milestones defined to scale this prototype into a production-grade system.

I

Prompt-Based Ordering

Implement prompt-based ordering for seamless user interaction
II

WhatsApp Bot Integration

Introduce a WhatsApp bot to simplify order management and customer support

Team Collaborators

The cross-functional group responsible for the research, design, and execution of this technical initiative.

I

Maged Faiz

Technical Lead

II

Mabior Duom

Product Manager

III

Lokosang Wani

UX Designer

Relevant Links Additional Resources

Curated documentation, external repositories, and supporting materials related to this experimental protocol.

What I learned from this experiment

This project taught me about distributed consensus (or EEG signal filtering, or memory safety in Rust). The code is rough, but the lessons are sharp. I'm already thinking about how to apply them to a production system.

~40Hours spent exploring
Next Project: AI-Powered Content Summarizer
Sahil: The Smart Supply Platform | Emmanuel Gatwech