5 Myths About Balancing Demand and Capacity in Retail Launches — Busted

Many retail myths around product launches still persist—from overstocking safety stock to over-relying on historical data.
IEEE

Optimizing Retail Inventory and Sales through Advanced Time Series Forecasting using Fine Tuned PrGB Regressor

Abstract: Retail transactions time series analysis helps the super market to analyze the customer behavior based on their purchases. It helps the super market to increase their sales based on the ...
IEEE

Vision-Based Time Series Crowd Forecasting Using Semi-Supervised Learning

Abstract: Crowd forecasting is a crucial component of public safety, urban planning, and event management, enabling proactive decision-making based on anticipated crowd dynamics. Traditional ...
GitHub

Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates

Note: Our code has been tested in VS Code. If you run it in PyCharm, there might be path-related issues due to the differences in the path logic between VS Code and PyCharm. The four datasets (METR-LA ...
GitHub

Toto - Time Series Optimized Transformer for Observability

Toto is a foundation model for multivariate time series forecasting with a focus on observability metrics. This model leverages innovative architectural designs to efficiently handle the ...
The New York Times

Yankees’ Anthony Volpe benched in Red Sox series finale

NEW YORK — Anthony Volpe wasn’t in the Yankees’ starting lineup Sunday, and in a possible sign that his status as the team’s everyday shortstop could be in question, manager Aaron Boone didn’t ...