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NRF Report of 2023 Holiday Sales- On Target to Forecast

Supply Chain Matters

The highest sales category was noted as electronics and appliances, growing 9.3 NRF had previously forecasted that online sales would grow in a range of between 7 percent to 9 percent and thus the actual was in line with the forecast. trillion, in-line with NRF ’s adjusted forecast. percent to a record $5.13

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Improving Sales forecasting after Covid

DynaSys

We should not consider year 2020, and probably H1 2021, as a relevant set of data for forecasting calculation. My next S&OP run is coming, and I must find a solution to deal with sales forecasting after Covid. Based on the real demand, I can operate my supply planning without using precisely wrong forecasts. It’s a given!

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Revolutionizing Supply Chain Planning: The Power of Generative AI

Logility

Here are 3 examples: Enhanced Demand Forecasting Accurate demand forecasting is the cornerstone of effective supply chain planning. By employing deep learning techniques, generative AI models can recognize patterns and correlations that may elude traditional forecasting methods.

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7 Challenges ERP Helps Electronics Manufacturers Overcome

OptiProERP

The electronics industry changes at a fast pace with constant innovations. Electronics are used in consumers’ everyday lives, both at work and at home. Electronics manufacturers have many revenue opportunities, but also many challenges to overcome to be competitive. Electronics manufacturers must adapt to many emerging trends.

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How Data Analytics Can Solve the Challenges Faced by SC Leaders in Discrete Manufacturing

From consumer electronics to automotive manufacturing, most of the global economy’s largest industries rely on some form of discrete manufacturing. Congested seaports stalling transportation of much needed materials and goods. Difficulty forecasting demand due to constant supply chain disruptions.

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5 Models of AI for Supply Chain Risk Management—And Why They Matter

Resilinc

While these solutions all utilize predictive AI, they rely on different models, including regression models, time series forecasting, classification models, clustering models, recommendation models, and simulation models. Time Series Forecasting: Commodity Tracking and Predictions What is time series forecasting?

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Trick or Treat! The Supply Chain Wears Disguises Too

QAD

The face value of the problem might be that the company cannot meet its forecasted demand, so action is taken to fix that issue. A Transportation Issue or Forecasting Issue? This put an exceeding amount of extra demand on the building supply and consumer electronics industries. Talk about disguises.