AutoML Approach to Stock Keeping Units Segmentation
A typical retailer carries 10,000 stock-keeping units (SKUs). However, these numbers may exceed hundreds of millions for giants such as Walmart and Amazon. Besides the volume, SKU data can also be high-dimensional, which means that SKUs can be segmented on the basis of various attributes. Given the...
Main Author: | Jackson, Ilya |
---|---|
Other Authors: | Massachusetts Institute of Technology. Center for Transportation & Logistics |
Format: | Article |
Published: |
Multidisciplinary Digital Publishing Institute
2022
|
Online Access: | https://hdl.handle.net/1721.1/146617 |
Similar Items
-
Hardware-Centric AutoML for Mixed-Precision Quantization
by: Wang, Kuan, et al.
Published: (2021) -
FRAMED: An AutoML Approach for Structural Performance Prediction of Bicycle Frames
by: Regenwetter, Lyle, et al.
Published: (2023) -
Doing more with less: characterizing dataset downsampling for AutoML
by: Zogaj, Fatjon, et al.
Published: (2022) -
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
by: Lin, Ji, et al.
Published: (2021) -
Model Compression and AutoML for Efficient Click-Through Rate Prediction
by: Gschwind, Katharina
Published: (2022)