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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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1 result for “e-grocery”

Demand Forecasting using Long Short-Term Memory Neural Networkscs.LG

LSTMs improve demand forecasting for e-grocery products.

problem Improving demand forecasting accuracy in e-grocery retail.

method Developed and tested univariate and multivariate LSTM models for 100 fast-moving consumer goods.

result LSTMs outperform traditional models for food products, especially in beverage category.

demand forecasting long short-term memory neural networks e-grocery machine learning

2020-08-19abs ↗pdf ↗