Delivery Time Prediction Using Support Vector Machine Combined withLook-back Approach
DOI:
https://doi.org/10.5281/zenodo.8070704Keywords:
Delivery time prediction, Look-back approach, Machine learning, Support Vector MachineAbstract
Delivery time refers to the time elapsed from the moment the order is created to the delivery of the product to
the final consumer. It is extremely important to predict the delivery time in order to ensure customer
satisfaction and smooth logistics processes. The aim of this study is to predict the delivery time using Support
Vector Machine (SVM) with and without consecutive look-back and periodic look-back approaches. A sample
dataset obtained from Kaggle was used. Mean Absolute Error (MAE) was utilized to evaluate the performance
of the prediction models. According to the results, the average MAE obtained with the look-back approach
(3.81) was 59.12% lower than that obtained without the look-back approach (9.32).
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