Papers/2609.38190
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Travel Time Prediction in Supply Chain Management Using Machine Learning

machine learningsupply chainlogisticstravel time prediction
2609.38190
Builder Relevance
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1h ago

Abstract

This research aims to utilize machine learning and deep learning techniques to accurately predict travel time in supply chain logistics.

Reality Card

Core Claim

The research successfully builds an accurate model for predicting travel time of inventory using historical data and novel techniques.

Method / Result

The model improves logistics consistency and performance, aiding in planning and demand forecasting.

Limitations

The complexity of the supply chain ecosystem may limit the model's applicability across different contexts.

Paper to code

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