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How modern time-series models beat spreadsheets for inventory planningContinue reading on Medium »
November 2026 and Feb 2027 projections by extrapolating the recent doubling rates. Doubling times are taking ~4 months for the amount of human work time AI can perform. Another ~1....
AI in supply chain management is the application of machine learning, generative...
TL;DR: AI makes project planning faster and more reliable by automating routine work, analyzing live and historical data, predicting risks, improving resource use, and helping team...
AI in Production is about the reality of running AI and machine learning systems, not just building them. The talks come from people who have shipped something and lived with what...
For the past several years, the enterprise AI discussion has focused heavily on capability. Can a model forecast more accurately, summarize information, identify an exception, writ...
Using a practical, nine-step framework and real examples from demand and supply planning, including AI-generated scenarios that surface capacity risks before a Supply Review even b...
Nissin Foods expects to record increased fill rates and improved forecasting accuracy by using an AI-powered demand and supply planning tool.
An enterprise team begins an artificial intelligence project with a familiar question: Which model should we use? The team compares benchmarks, studies pricing, debates whether the...
Nissin Foods expects to record increased fill rates and improved forecasting accuracy by using an AI-powered demand and supply planning tool.
Excel-таблицы, интуиция опытного диспетчера и авральные совещания по пятницам. Знакомая картина для любого производственного предприятия? Вопрос о переходе к автономному планирован...
In this tutorial, we build an advanced end-to-end time-series forecasting workflow with TimesFM 2.5. We begin by configuring the runtime, installing the required dependencies, dete...
Last updated: 2026-07-06 Most productivity advice tells you to review the past. Look at what you did last week. Plan the next week based on that. That is a retrospective loop. It k...
KAIST researchers have developed an artificial intelligence system that can generate workable plans for complex real-world problems without depending on a specialized optimization...
Process that.
Google Research has released TimesFM-3, a 330 million parameter time series foundation model that forecasts multiple related series in a single forward pass. Unlike every TimesFM c...
Like us, you’ve probably noticed that over the past two years, most discussions about AI in manufacturing have focused on what LLMs can do for engineers, planners, and other knowle...
MIT engineers have built an AI tool that forecasts extreme weather without training on historical disaster data. Kai Chang, a mechanical engineering graduate student, and Professor...
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Presented by SAPHR tracks employees and skills. Finance owns headcount targets and cost. Procurement manages contractors and services spend. Together, they leave executives unable...
AI climate change predictions by Gemini I am back to AI as a quantitative predictor (June 26, 2026 blog). I interrupted my discussion of the topic to describe events connected to I...
Artificial intelligence tools for product design have largely been sold to engineering leaders as a productivity story: faster renders, quicker iterations, fewer manual CAD operati...
As well as churning through mundane tasks, artificial intelligence agents promise to transform supply chain management
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