Lissassi Kokou

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About

Lissassi Kokou is a researcher at the intersection of artificial intelligence and small-to-medium enterprise (SME) development, with a primary focus on leveraging computer vision to drive operational efficiency and business performance. In his most-cited work, "Using Computer Vision to Improve SME Performance" (2023), Kokou explores how accessible AI tools—such as image recognition for inventory tracking, quality control, and customer analytics—can be adapted for resource-constrained businesses. This paper has garnered early attention (2 citations) as a practical guide for integrating advanced technology into traditional SME workflows. Kokou’s contribution lies in bridging the gap between cutting-edge computer vision research and real-world, low-cost implementation, offering actionable frameworks that empower smaller firms to compete in data-driven markets. His work is particularly notable for its emphasis on scalability and usability, making complex AI techniques approachable for non-specialist stakeholders. As the adoption of AI in SMEs accelerates, Kokou’s research provides a foundational blueprint for democratizing computer vision, with potential to influence both academic discourse and industry practice in the coming years.