Demand

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...

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,...

Naver (CEO Choi Soo -yeon) said that despite the recent increase in the usage of artificial intelligence (AI) chatbots similar to 'Chat GPT', the inflow of query has not decreased. Choi Soo -yeon said in...

Despite the reduction in demand for computing infrastructure resulting from deep chic and Trump tariffs, Microsoft (MS) and Meta have excelled over the past quarter market. Consequently, unlike the encircling concerns, he repeatedly said...

Apple filed a lawsuit against the demand for the establishment of a 'backdoor' for the British government's personal information. This problem is expanding to conflict between countries, akin to the Trump administration beyond Apple. The...

Open AI, 'GPT -4.5' open to users of $ 20, "Over demand" Open AI has been offering the most recent AI model 'GPT-4.5' to a $ 20 'Chat GPT Plus' subscriber. GPT-4.5 has a...

UVeye, the worldwide leader in AI-driven vehicle inspection technology, has secured a $191 million extension to its Series D funding round, bringing total funding to $380.5 million. This latest infusion—combining equity and debt—goals to...

Have you ever gathered all of the relevant data?Let’s assume your organization has provided you with a transactional database with sales of various products and different sale locations. This data is named panel data,...