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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
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Synthetic Retail Demand and Sentiment Datasets for Customer Intelligence and Inventory Optimisation Research

Research datakeyboard_double_arrow_right Dataset 06 Jun 2026Publisher:Zenodo
Authors: Kant, Ujjwal;

doi: 10.5281/zenodo.20573668

Synthetic Retail Demand and Sentiment Datasets for Customer Intelligence and Inventory Optimisation Research

Abstract

Synthetically generated retail demand dataset (sales.csv, 186,189 product ASINs × 60 months) and curated Amazon Fashion sentiment test files, constructed for proof-of-concept evaluation of a DQN inventory optimisation and DistilBERT sentiment analysis framework. The demand dataset has no external source and was manually constructed for this research. The sentiment data is derived from the publicly available Amazon Reviews 2023 dataset (https://amazon-reviews-2023.github.io).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average