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September 28, 2025Contemporary MathematicsOpen Access

Inventory Optimization in E-Commerce: A Dual-Sourcing Collaborative Replenishment Model Under Demand Uncertainty

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Authors

ZXZongyi XingMNMuhammad Hamza NaseemFAFatima Sayeeda Ahmad

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Overview

The study demonstrates significant inventory cost reductions in e-commerce, indicating improved service levels under demand uncertainty.

Key Points

  • The proposed model reduces total inventory costs by up to 36% compared to traditional strategies.
  • Simulation results show enhanced inventory responsiveness and service reliability in volatile environments.
  • The model employs nonlinear programming and stochastic demand modeling for optimization.
  • This approach highlights the importance of dynamic order allocation between lean and flexible suppliers.

Cite This Study

Xing et al. (2025) studied this question.

synapsesocial.com/papers/68d90bc941e1c178a14f7356https://doi.org/10.37256/cm.6520257779
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1An integrated approach to demand forecasting and inventory optimization in e-commerce2026
  2. 2A Practical Method for Joint Inventory Replenishment under Supplier Constraints2025
  3. 3Multi-echelon distribution network inventory optimization for cross-border omni-channel e-commerce2025 · 1 citations
  4. 4Collaborative system model construction and simulation optimization of e-commerce enterprise supply chain2024
  5. 5Integrated demand forecasting and inventory replenishment in omni-channel retail with deep learning2026