Best Practices for Analysis of Human Resource Communication Based Information Flow in Supply Chains to Optimize the Product Marketing Performance

In today’s connected markets, supply chains from upstream to downstream generate vast amounts of information, however much of this data still remains very fragmented, delayed or difficult to interpret in ways that can directly support the decision makers on the product marketing decisions. This paper explores how communication information from human resource based practices can improve the analysis and flow of the information across the product supply chain functions enabling the marketing teams to respond more quickly and effectively to the changing customer needs and requirements. Rather than focusing on any advanced technical models, the study emphasizes the practical best practices in the use of natural language for capturing, structuring and interpreting the insights from everyday sources such as supplier communications, internal reports, customer feedback and sales narratives.
The paper examines how consistent information extraction from language frameworks and communication based information flow clarity frameworks, shared terminology and narrative-driven reporting can reduce the information loss between the supply chain and marketing teams. By improving how insights are described, transferred & understood across the organizational boundaries, proper natural language interpretation and communication flow best practices help translate and optimize the operational signals into marketing intelligence. The impact of these practices is assessed in terms of faster decision making, improved demand sensing, better product positioning and stronger alignment between supply chain realities and marketing promises.
Beyond process improvements, the study highlights the human involvement aspect in the supply chain’s information flow, where misinterpretation and informal communication often shape outcomes more than systems alone. By treating communication information as a strategic asset rather than a passive medium ,this paper argues that organizations can enhance their marketing performance without any major system investments. Overall, the findings suggest that improving how people communicate insights across the supply chain can be just as important as improving the data itself, especially in dynamic and competitive markets.

Supply Chain Information Flow, Marketing Performance

1. Chibba, Aron & Rundquist, Jonas. (2009). Effective Information Flow in the Internal Supply Chain: Results from a Snowball Method to Map Information Flows. Journal of Information & Knowledge Management. 8. 331-343. 10.1142/S0219649209002439. [Google Scholar] [Crossref]

2. Dumitru, Ionel & Claudiu, Caescu. (2013). The Supply Chain, a Strategic Marketing Approach. Amfiteatru Economic. 15. 116-127. [Google Scholar] [Crossref]

3. Kaipia, Riikka. (2009). Coordinating material and information flows with supply chain planning. [Google Scholar] [Crossref]

4. International Journal of Logistics Management, The. 20. 144-162. 10.1108/09574090910954882. [Google Scholar] [Crossref]

5. Awasthi, Shyla. (2024). Artificial Intelligence in Supply Chain Management. Journal of Student Research. 13. 10.47611/jsrhs.v13i1.5996. [Google Scholar] [Crossref]

• A Study on Utilisation on Vidiyal Payanam with Special Reference to Udumalpet
• Influence of Sales Promotional Strategies on Water Purifier Purchase: A Study
• Voluptatem exercitat
• Beatae voluptatum eanfjnjfnjnj
• Analysis of Marketing Strategies in Newbridge College During Covid-19 Pandemic