Artificial intelligence has been used in demand planning applications for close to 20 years. But recently, leading solution providers have begun a big push to develop new ways these technologies ...

Demand planning, according to Quantzig’s experts, applies forecasts and experience to estimate the demand for various items at various points in the supply chain. Download PDF ...

Demand management not only helps in demand planning and forecasting, but it also plays a major role in addressing external spending factors, arranging purchase orders, and eradicating waste.

Many demand planning functions are viewed as underperforming due to lower forecast accuracy. However, in many instances, that lower forecast accuracy is entirely within an appropriate range relative ...

Furthermore, the demand planning projections you share should be time-phased and adjusted for joined ordering logic. Driven by all segments of the forecast, you can deliver a real picture of what ...

The recent yield curve inversion often signals a recession within 14 months or so. For a supply chain organization, demand planning becomes very difficult in this environment.

Demand planning and marketing teams have highly specialized skills, but they have natural human biases. Human-centered forecasting is constrained by the limits of human knowledge.

This time every year, we publish Gartner’s Top 25 supply chains, the annual list of the supply chains that have made it to the top, a list that now also includes 5 Masters, or companies that have ...

Demand-sensing can point companies in the right direction, but it takes end-to-end supply chain communications, visibility, and processes to actually arrive at the desired destination.

But given the complex nature of demand and the wide variety of factors that influence it, demand planning is no simple matter. The easiest way is to segment the entire ecosystem that caters to it.