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Ai-Based Optimisation Of Inventory Transshipment- Lateral For Competitive Supply Chain Management In Tunisia

Dr. Ahmed Ben Youssef

Pages: 1-13

Abstract

Objective : Lateral transshipment refers to the transfer of inventory between warehouses, points of sale, or distribution centers of the same level (for example, between two stores of the same brand), without passing through the main distribution center. Its aim is to balance inventory levels and avoid stockouts or localized overstocking. Methods : This research paper aims to combine qualitative and quantitative analysis to highlight the influence of artificial intelligence integration on Transshipment-Lateral and on the competitive position of Safran-Tunisia at both the national and international levels. Results: In Tunisia, logistics and distribution are closely linked, as distribution performance depends directly on the efficiency of logistics flows, warehouses, and transportation. With the rise of digitalization, the application of artificial intelligence improves these processes by optimizing demand forecasting, inventory management, and transportation routes. In this context, Safran Tunisia, which operates several industrial sites, particularly benefits from AI solutions to enhance the visibility and coordination of its internal flows. Conclusion : In Tunisia, logistics and distribution are highly interconnected, as the competitiveness of companies depends on their ability to efficiently manage the flow of goods between sites and to their customers. Artificial intelligence enhances this performance by optimizing demand forecasting, inventory planning, and transportation coordination. AI can also support lateral transshipment, a strategy that involves transferring inventory between sites of the same size to reduce stockouts and minimize costs. Thus, the combined integration of logistics, AI, and lateral transshipment allows Safran Tunisia to improve its operational flexibility and supply chain reliability. At Safran Tunisia, these technologies are particularly useful for supporting Vendor Managed Inventory (VMI), where suppliers directly manage inventory levels to ensure the continuous availability of aerospace part

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Journal Stats

Total Submissions: 107
Acceptance Rate: 08%
Review Time: 10 Days
Days to Acceptance: 25 Days
Number of Reviewers: 18
Number of Contributors: 161
Contributing Countries: 13
Impact Factor: 4.7
Number of Abstract Views: 11,951
Last Updated: January 2026