AI Jargon Buster
AI news and the language around it, simplified.
What is Demand Forecasting?
Demand forecasting is a process that uses historical data and statistical patterns to predict future customer interest in a product or service. While traditional methods rely on simple spreadsheets, AI-driven forecasting analyzes vast amounts of information simultaneously. It considers complex variables like past sales, seasonal shifts, economic indicators, and even local weather patterns. By identifying these hidden trends, the system provides a more accurate estimate of what customers will buy and when they will buy it. This allows companies to plan their operations with much higher precision than manual guessing allows.
Why this matters to you
It helps you balance your supply chain by ensuring you have enough stock to meet customer needs without tying up your cash in unsold inventory. This reduces waste, lowers storage costs, and prevents the lost revenue that occurs when a popular item is out of stock.
How you might hear this
Our supply chain team is implementing a new AI tool for demand forecasting to ensure we have the right amount of inventory for the upcoming holiday season.
AI Jargon Buster
Search any AI term, explained in plain English.
Type a term below and search. You will be taken straight to the tool.
Related terms
See how your CV performs against the ATS algorithms that screen candidates before a human ever reads your application.
Try the CV Optimiser →How AI job displacement actually works, what it means for your career, and what to do about it. Written by someone who has been in recruitment for 25 years.
When the Ground Shifts →