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Paper ID:IJSREM64838

Effect of Warehouse Coordination on Order Fulfillment Efficiency: A Conceptual and Research Study with Reference to Indian E-Commerce Warehousing

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM64838

Volume:

10 |

6 |

Jun 2026

Pages:

1-22

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Nitish kumar

Nitish kumar

MBA in Logistics and supply chain management

Galgotias University

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Mentors

DSS

Dr. Shanu Srivastava

MBA in Logistics and supply chain management

Galgotias University

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Abstract

Considering the present global scenario, warehouses have various technologies to make logistics efficient. What they often lack is coordination. Even the best-equipped fulfillment centers miss delivery targets, make picking errors, and process returns slowly. Not because of poor infrastructure, but because internal teams, processes, and systems aren’t aligned. This paper investigates how warehouse coordination results in efficient order fulfillment in Indian e-commerce. A conceptual framework of the WC-FE Model is introduced based on four coordination dimensions (inter-team communication, inventory synchronization, technology integration, and process standardization) and the four fulfillment outcomes (order cycle time, accuracy, on-time delivery, and return processing) are tested. Four research hypotheses are formed and theoretically validated with evidence from 18 published studies, IBEF and Ministry of Commerce reports, and real-world examples from Amazon India, Flipkart, Myntra and Meesho. The results are clear: all four dimensions of coordination contribute positively to fulfillment efficiency, and technology integration and process standardization are the most significant drivers. The WC-FE Model is developed to serve two purposes: a testable framework for future researchers and a practical diagnostic tool for warehouse managers in India’s fast-growing logistics industry.

KEYWORDS

internal teams processes and systems

Cite This Article

Nitish kumar, Dr. Shanu Srivastava, "Effect of Warehouse Coordination on Order Fulfillment Efficiency: A Conceptual and Research Study with Reference to Indian E-Commerce Warehousing," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 6, pp. 1-22, Jun 2026.

Full Article/Conclusion

The purpose of this study was to examine the effect of warehouse coordination on order fulfillment efficiency in the Indian logistics context using a conceptual research approach supported by published literature, various thesis report based on topic and industry evidence. The WC-FE Model suggests that all four coordination dimensions - inter-team communication, inventory synchronization, technology integration, and process standardization – are positively related to order fulfillment efficiency. The strongest predictive factors are technology integration and process standardization, which is consistent with the theoretical reasoning developed in Chapter 4 and the documented industry evidence from Amazon India, Flipkart and Myntra. The model provides a structured and testable framework for future empirical research and a practical diagnostic tool for warehouse managers.

References

v      Academia.edu. (2024). E-commerce supply chain efficiency: A case study of Amazon e-commerce                                company.                               Retrieved                  from https://www.academia.edu/119798901/E_Commerce_Supply_Chain_Efficiency_A_Case _Study_of_Amazon_E_Commerce_Company   v      Alqahtani, A. Y. (2023). Improving order-picking response time at retail warehouse: A case of sugar company. SN Applied Sciences, 5, 8. https://doi.org/10.1007/s42452-022-05230-6   v      Arxiv. (2024). Deep reinforcement learning for dynamic order picking in warehouse operations. Retrieved from https://arxiv.org/pdf/2408.01656   v      Bowersox, D. J., Closs, D. J., & Cooper, M. B. (2020). Supply chain logistics management (5th ed.). McGraw-Hill Education.   v      Chandra, A., & Huzaifa, M. (2024). The digital shift: Exploring the impact of e-commerce on traditional retail businesses. International Journal of Research and Analytical Reviews, 11(2), 101–108.   v      Chopra, S., & Meindl, P. (2021). Supply chain management: Strategy, planning, and operation (7th ed.). Pearson.   v      De Koster, R., Le-Duc, T., & Roodbergen, K. J. (2007). Design and control of warehouse order picking: A literature review. European Journal of Operational Research, 182(2), 481–501. https://doi.org/10.1016/j.ejor.2006.07.009   v      Flipkart Stories. (2024). Revolutionizing logistics: Key trends shaping supply chains in 2024. Retrieved from https://stories.flipkart.com/ecommerce-supply-chain-trends-flipkart   v      Galbraith, J. R. (1974). Organization design: An information processing view. Interfaces, 4(3), 28–36. v      Gilson, L. L., & Goldberg, C. B. (2015). Editors’ comment: So, what is a conceptual paper? Group & Organization Management, 40(2), 127–130. https://doi.org/10.1177/1059601115576425   v      GLG Insights. (2021). Analysing the Indian e-commerce logistics market. Retrieved from https://glginsights.com/articles/analyzing-the-indian-e-commerce-logistics-market/   v      India Brand Equity Foundation (IBEF). (2023). Logistics and warehousing industry in India. Retrieved from https://www.ibef.org/industry/logistics-india.aspx   v      IntechOpen. (2023). Warehouse operations: From traditional to automated systems. IntechOpen. https://doi.org/10.5772/intechopen.1001

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Publication Date

6/11/2026

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