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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.

169,051 papers · 148 categories

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0111 · Jan 201719922001200920172026
5 results for stockouts

CD estimates demand by separating promotions from a stable base, reducing inventory costs.

problem Operational volatility in demand forecasts leads to excessive safety stock and inventory costs.
method Contextual Deconvolution (CD) decomposes demand into a smooth base and promotion-driven shocks.
result CD reduces inventory costs by stabilizing demand forecasts, but under-provisions event spikes.

Deep learning model reduces food waste by stabilizing online food delivery supply chains.

problem Wastage and bullwhip effect in online food delivery services.
method Two-phase LSTM network for demand forecasting, newsvendor model for inventory management.
result Significant reduction in bullwhip effect and food waste, improved forecasting accuracy.