Citation :

Asha Kiran Ganesna, "Digital Supply Chain Transformation and Its Impact on Operational Performance in Food Manufacturing," International Journal of Computer Trends and Technology (IJCTT), vol. 74, no. 8, pp. 68-77, 2026. Crossref, https://doi.org/10.14445/22312803/IJCTT-V74I8P108

Abstract

An industry that produces perishable, safety-critical items that need to be transported through multi-layered supply networks, combined with high-cost fluctuation, evolving consumer demands, and stricter regulations, is creating a difficult environment. A major new response to these pressures has been 'digital supply chain transformation,' which involves embedding technologies like the Internet of Things, cloud computing, blockchain, advanced analytics, and artificial intelligence/machine learning into planning and execution processes. This article looks into the impact of digital supply chain transformation on the food manufacturing sector, explores the technologies involved, the opportunities for the application of AI and machine learning, a proposed framework connecting transformation to performance, and challenges that remain to hinder adoption. Four illustrative visuals (one generative, one integrative) and three data tables have been described with generation prompts to enable the creation of companion visuals. The challenges/issues raised by the conversation are summarized, and it is concluded that although digital transformation has measurable value for efficiency, traceability, and resilience, it requires organizational readiness, data quality, and staff capacity.

Keywords

Artificial Intelligence, Digital Transformation, Food Manufacturing, Operational Performance, Supply Chain.

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