On-device research index

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.

168,742 papers · 148 categories

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6 results for “stock-keeping”

A New Metric for Lumpy and Intermittent Demand Forecasts: Stock-keeping-oriented Prediction Error Costscs.LG

A new metric optimizes forecasts for lumpy, intermittent demand.

problem Inaccurate demand forecasts lead to suboptimal logistics and production.

method Developed a novel metric that considers both statistical and business aspects.

result The new metric yields more accurate predictions for lumpy and intermittent demand.

demand forecasting intermittent demand stock-keeping prediction error lumpy demand

2020-04-22abs ↗pdf ↗

Algorithms for Generalized Cluster-wise Linear Regressionstat.ML

Cluster-wise linear regression (CLR), a clustering problem intertwined with regression, is to find clusters of entities such that the overall sum of squared errors from regressions performed over these clusters is minimized, where each cluster may have different variances. We generalize the CLR problem by allowing each…

2016-07-05abs ↗pdf ↗

Consumer Transactions Simulation through Generative Adversarial Networkscs.LG

Paper uses GANs to simulate consumer transactions with SKU constraints.

problem Simulating realistic consumer transactions in retail systems.

method Integrates GANs with consumer behavior and SKU availability constraints.

result Demonstrates enhanced realism in simulated transactions.

GANs consumer transactions retail simulation SKU constraints realistic modeling

2024-08-07abs ↗pdf ↗

Inventory record inaccuracy in grocery retailing: Impact of promotions and product perishability, and targeted effect of auditsq-fin.GN

Study finds inventory inaccuracies are linked to store activity and product perishability.

problem Inventory record inaccuracy in grocery retailing environments.

method Analysis of 24,000 SKUs across 11 stores, field quasi-experiment on audits.

result Inventory audits can boost sales by 11%, especially for perishable items.

inventory record inaccuracy grocery retailing promotion activity product perishability stock counts

2025-05-22abs ↗pdf ↗

Cold-Start Forecasting of New Product Life-Cycles via Conditional Diffusion Modelscs.LG

CDLF predicts product life-cycles in cold-start phases with high accuracy.

problem Forecasting new products in early phases when data is scarce.

method Conditional Diffusion Life-cycle Forecaster (CDLF) combining static descriptors, reference trajectories, and new observations.

result CDLF outperforms classical models in accuracy and probabilistic forecasting.

cold-start problem product life-cycle forecasting conditional diffusion static descriptors reference trajectories

2026-04-22abs ↗pdf ↗

Predicting Stock Market Time-Series Data using CNN-LSTM Neural Network Modelq-fin.ST

This paper uses CNN-LSTM to predict stock market performance.

problem Predicting stock market performance is challenging due to changing prices and lack of advanced libraries.

method Developed a CNN-LSTM Neural Network model to track stock data patterns and predict future performance.

result The CNN-LSTM model outperformed other models in predicting stock market performance.

stock market CNN-LSTM machine learning stock prediction time-series data

2023-05-21abs ↗pdf ↗