What does this research mean for the field?

Integrating data analytics, such as demand-driven slotting and velocity-based zoning, with lean principles significantly improves warehouse operational efficiency and reduces picker travel distance without requiring physical expansion. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The research aims to optimize warehouse layout in an Ayurvedic distribution center using data-driven approaches and lean principles.

May 20, 2026Open Access

Data-Driven Warehouse Layout Optimization using Demand Analytics and Lean Principles: A Case Study of an Ayurvedic Distribution Centre

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The research aims to optimize warehouse layout in an Ayurvedic distribution center using data-driven approaches and lean principles.
Evaluated historical demand behavior with ABC analysis and SKU velocity classification.
Developed a structured warehouse zoning framework aligning high-frequency SKUs closer to dispatch zones.
Identified and minimized non-value-adding activities through lean principles.
Improved picker travel distance and accessibility of fast-moving items.
Enhanced workload balancing and overall warehouse flow.
Significant improvements in operational efficiency without physical expansion of the facility.

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Implication

Randomized trial improves operational efficiency in an Ayurvedic distribution centre, suggesting practical layout enhancements.

Cite This Study

Amity University (2026) studied this question.

synapsesocial.com/papers/6a0d4fa9f03e14405aa9afce https://doi.org/10.5281/zenodo.20271685

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Data-Driven Warehouse Layout Optimization using Demand Analytics and Lean Principles: A Case Study of an Ayurvedic Distribution Centre

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Discussion

Implication

Cite This Study

Data-Driven Warehouse Layout Optimization using Demand Analytics and Lean Principles: A Case Study of an Ayurvedic Distribution Centre

Key Points

Discussion

Implication

Cite This Study

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