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forecasting errors are usually not brought on by bad time-series models. They're brought on by ignoring structure. SKUs don't behave independently. They interact through shared plants, product groups, warehouses, and storage locations. A requirement shock...

Introduction calendar-based Time Intelligence, the necessity for custom Time Intelligence logic has decreased dramatically. Now, we will create custom calendars to fulfill our Time Intelligence calculation needs. You may have read my article about advanced Time...

in supply-chain planning has traditionally been treated as a time-series problem. Each SKU is modeled independently. A rolling time window (say, last 14 days) is used to predict tomorrow’s sales. Seasonality is captured, promotions are added,...

, I'm biologically required to endure the identical loop of small talk yearly: “It’s boiling, isn’t it? Way hotter than 2020,” or the classic, “Back in my day, we actually had 4 seasons, not...

Fixing climate change isn't any small task — just ask carbon removal developers like Mitti Labs. The Latest York-based startup has developed technology to measure how much methane is released by rice paddies, after which...

can’t consider a more essential dataset. Just today, I saw a headline like this: ‘Heat Waves Are Getting More Dangerous with Climate Change.’ You may’t say we haven’t been warned. In 1988, we...

The back story of the composition of Meta's Super Intelligence Team is revealed one after one other. This time, he didn't take over the SSI of Illiya Sutsu Kever, and as an alternative, he...

Time tracking has long been a source of tension within the workplace. Sure, on paper, it guarantees more focus and higher productivity. In practice, nevertheless, it often becomes just one other task or, even...