École Nationale Supérieure de Statistique et d'Économie Appliquée

Plateforme d'Ubérisation du Transport de Marchandises en Tunisie

The core offering includes real-time logistics matching for transporters and customers to optimize load sharing, reduce costs, and minimize idle capacity. Revenue generation is based on innovative strategies such as leveraging data for economic insights and advertising.

Etude de projet: Plateforme d’ubérisation du transport de marchandises en Tunisie - Livrili.tn

The study highlights economic inefficiencies, such as high logistics costs and underutilized transport capacity, and suggests leveraging demand aggregation to reduce idle trips and enhance profitability. A multi-dimensional study considers commercial, technical, financial, and legal aspects, with progressive rollouts targeting high-need users and scaling based on validated results.

Plateforme d’ubérisation du transport de marchandises en Tunisie

The solution bridges supply and demand for freight transport with real-time delivery tracking, addressing inefficiencies in the logistics sector. The project identifies innovative economic models including a free intermediation service funded via data insights and online advertising.

Étude financière

It evaluates the project's cash flows and key profitability indicators such as Net Present Value (NPV) and Internal Rate of Return (IRR). The results show a positive NPV of 37.8 thousand Tunisian dinars and an IRR of 17.09%, both indicating the project's profitability.

Étude du Projet: Production Caprine - Lait & Viande

It identifies the high global consumption of goat meat and its health benefits as core opportunities amidst high demand and limited local supply. A thorough SWOT analysis highlights strengths like high consumer demand and challenges like lack of suppliers and financing difficulty.

Mini Project on Advanced Python: Viticulture Data Collection

A standardized glossary of operations ensures uniform data collection, with manual entries on predefined notebooks verified by farm managers before being digitized into a central application. Data integration is monitored by the project researcher, and periodic reports provide insights for workers and phytosanitary management.