Demand Planning and Forecasting

To increase the accuracy of your forecast, you must incorporate the impact of external factors into the forecasting process.

Forecasting methods that rely solely on past sales and do not consider external factors are inadequate. In such a method, it is impossible to predict the effects of changes in economic conditions and external factors. Moreover, constantly changing consumer habits, demand fluctuations, shortened product lifecycles, sales channels, and increased product diversity further complicate forecasting.

Going beyond traditional demand forecasting methods and identifying all factors affecting demand allows for much more accurate forecasting of future demand.

What is the Solution?

DemandGuru® is an artificial intelligence-supported enterprise decision platform designed to increase demand forecasting accuracy. By providing essential analytical capabilities on a single platform, it enhances the speed and quality of business decisions. DemandGuru®, by continuously extracting data from the supply chain ecosystem and processing it through a digital twin, reveals operational trends and equilibrium points.

The llama.ai platform, which contains data on over 550,000 external factors such as weather and economic indicators, enables you to understand demand characteristics and influencing situations, make more accurate forecasts, and make confident decisions. The impact of traditional forecasting techniques is enhanced by machine learning, resulting in significant improvements in demand forecast accuracy. A demand forecasting process supported by such technology provides the following benefits:

Double-digit improvement in forecast accuracy,
Identification of external factors with the most significant impact on demand and understanding their intensity,
Reduction of working capital and improvement in resource utilization