Demand forecasting has historically been a crucial component of business planning, particularly for businesses that do manufacturing, management of supply chains, and retail.

Businesses are under increasing pressure to streamline processes, cut costs, and enhance customer service in today's quickly changing industry.

Computer Vision, Voice Recognition, Robots, Fintech, Medical Technologies, Supply Chain, Logistics, and many more fields are embracing artificial machine learning and artificial intelligence (AI-ML).

Forecasting is the technique of estimating and predicting future consumer demand for a good or service using prediction analysis of previous data.

The idea is to identify the process management areas that need to be addressed and then define the related metrics that can be monitored and translated into ROI when a manufacturer must evaluate the efficacy and accompanying return on investment (ROI) of ...

One could argue that today's manufacturers need a fortune teller given the complexity and ambiguity involved in managing a global commodity network to see what's coming, whether certain events can affect preparatory work and manufacturing, and what manufa...

Unprecedented supply chain interruptions have caused havoc over the past two years. Demand planning and logistics chain experts have had to rethink their models and take new factors into account due to COVID-19, port backlogs, or trade disputes.

Techniques for demand forecasting are crucial to inventory management. You can take steps to make sure you have the right stock to maximize sales and profit if you can predict market demand accurately.

Demand volatility in reference to market prediction is one of the main problems facing business executives today. As data is more accessible than ever, customer buying patterns are becoming more complex, making it harder to recognise or forecast them.