Short and hard-to-predict product life cycles can make it important to master new product introductions in demand planning. A good New Product Introduction (NPI) plan should account for both:
We offer stochastic forecasting to predict the baseline demand, using techniques such as advanced attribute clustering to find patterns of historic demand from similar products. In addition, machine learning can predict the demand profile during the initial launch period. Our models can include early indicators such as web analytics, product attributes or even social media data, thereby predicting the performance and profile early on of a product launch. These inputs are hard to account for with traditional forecasting techniques, but can be automatically incorporated using machine learning embedded in the demand planning software where we leverage deep neural networks to produce a forecast that is responsive to early market indicators.
When the bulk of sales revenue occurs within the first months of launch, advanced demand planning software not only offers improved forecasting, but a revenue and growth generator that promptly reacts to early market indicators and enables planners to prepare for the market reaction — ultimately reducing lost-sales and optimising stock.