Overview

The digitalization and emergence of supply chain technology in Africa represent a transformative shift with vast potential to revolutionize the continent’s economic landscape. Embracing digital solutions such as blockchain, Internet of Things (IoT), and artificial intelligence (AI) offers opportunities to enhance efficiency, transparency, and accountability throughout supply chain networks. Leveraging these technologies can optimize inventory management, streamline logistics operations, and improve real-time tracking and traceability, particularly in sectors such as agriculture, manufacturing, and healthcare. Furthermore, digitalization enables greater connectivity and collaboration among supply chain stakeholders, facilitating data-driven decision-making, risk mitigation, and innovation. However, challenges such as infrastructure limitations, digital literacy gaps, and cybersecurity risks must be addressed to fully harness the benefits of digitalization in African supply chains.

What We Do

We undertake research aimed at understanding, evaluating, and advancing the adoption and impact of digital solutions across supply chain networks. Our approach includes conducting in-depth analyses of digital technologies such as blockchain, Internet of Things (IoT), artificial intelligence (AI), and machine learning, to assess their potential applications and benefits in various industries and sectors. We work with industry partners, academic institutions, and government agencies.

Key Research Focus Areas

Here are some key research focus areas:

1. Blockchain Technology in Supply Chains: Investigating the potential applications of blockchain technology, such as smart contracts and distributed ledgers, in enhancing transparency, traceability, and trust across supply chain networks.
2. Internet of Things (IoT) in Logistics: Examining the role of IoT devices and sensors in monitoring and optimizing logistics operations, including asset tracking, inventory management, and fleet optimization.
3. Artificial Intelligence (AI) in Demand Forecasting: Investigating the use of AI algorithms and machine learning techniques to improve demand forecasting accuracy and inventory management in supply chains.
4. Data Analytics for Supply Chain Optimization: Analyzing big data analytics approaches and data-driven optimization techniques for improving supply chain performance, efficiency, and resilience.
5. Digital Twin Technology for Supply Chain Simulation: Exploring the concept of digital twins and virtual supply chain models for simulating and optimizing supply chain processes.
6. Cybersecurity and Data Privacy in Supply Chains: Investigating cybersecurity threats and data privacy risks associated with the adoption of digital technologies in supply chains.
7. Blockchain-based Supply Chain Financing: Exploring the use of blockchain technology for supply chain financing and trade finance applications, such as invoice factoring, supply chain financing platforms, and digital payment solutions.