Category: demand-forecasting
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From Connections to Meaning: Why Heterogeneous Graph Transformers (HGT) Change Demand Forecasting
From Connections to Meaning: Why Heterogeneous Graph Transformers (HGT) Change Demand Forecasting How relationship-aware graphs turn connected forecasts into operational insight The post From Connections to Meaning: Why Heterogeneous Graph Transformers (HGT) Change Demand Forecasting appeared first on Towards Data Science. Partha Sarkar Go to original source
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Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting
Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting Why modeling SKUs as a network reveals what traditional forecasts miss The post Time Series Isn’t Enough: How Graph Neural Networks Change Demand Forecasting appeared first on Towards Data Science. Partha Sarkar Go to original source
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What If I Had AI in 2020: Rent The Runway Dynamic Pricing Model
What If I Had AI in 2020: Rent The Runway Dynamic Pricing Model Ever wondered how different things might have been if ChatGPT had existed at the start of Covid? Especially for data scientists who had to update their forecast models? The post What If I Had AI in 2020: Rent The Runway Dynamic Pricing…
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Dynamic Inventory Optimization with Censored Demand
Dynamic Inventory Optimization with Censored Demand A sequential decision framework with Bayesian learning The post Dynamic Inventory Optimization with Censored Demand appeared first on Towards Data Science. Mert Ersoz Go to original source
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Demand Forecasting with Darts: A Tutorial
Demand Forecasting with Darts: A Tutorial A hands-on tutorial with Python and Darts for demand forecasting, showcasing the power of TiDE and TFT Photo by Victoriano Izquierdo on Unsplash Demand forecasting for retailing companies can become a complex task, as several factors need to be considered from the start of the project to the final deployment. This…