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2011•International Journal of Logistics Systems and ManagementRequires access

Linking consumer behaviour data into logistics planning in the food industry: analysing the potential of integration

Petri Helo, Harri Luomala

Open publisher page 9 citations

Abstract

Fragmentation of consumer demand and the need to personalise retail offers have led to the need to improve the responsiveness of the entire supply chain. This paper aims to build theory to integrate consumer behaviour data into logistics planning in the food industry. To connect consumer behaviour data with supply chain analysis, a product freshness and price sensitivity related consumer survey (n = 384) was first conducted. The paper demonstrates how the results of the consumer survey can be connected to logistics planning and cost engineering parameters.

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What this paper is about

Fragmentation of consumer demand and the need to personalise retail offers have led to the need to improve the responsiveness of the entire supply chain. This paper aims to build theory to integrate consumer behaviour data into logistics planning in the food industry. To connect consumer behaviour data with supply chain analysis, a product freshness and price sensitivity related consumer survey (n = 384) was first conducted. The paper demonstrates how the results of the consumer survey can be connected to logistics planning and cost engineering parameters.

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Fragmentation of consumer demand and the need to personalise retail offers have led to the need to improve the responsiveness of the entire supply chain. This paper aims to build theory to integrate consumer behaviour data into logistics planning in the food industry. To connect consumer behaviour data with supply chain analysis, a product freshness and price sensitivity related consumer survey (n = 384) was first conducted. The paper demonstrates how the results of the consumer survey can be connected to logistics planning and cost engineering parameters.

Key concepts: Business, Supply chain, Product (mathematics), Marketing, Consumer demand, Food industry, Fragmentation (computing), Industrial organization

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