In our latest eBook, find out what role data plays when using powerful tools like AI and ML, what it actually means for your business and how it can move your reactive pricing to a strategical level. This includes your rebate programs as well as price structures and optimization processes. ML helps to dynamically optimize prices based on pre-defined rules. The algorithms are allowing it to continuously learn and make better decisions. AI, on the other hand, can predict and prevent errors or streamline efficiencies like staff productivity. All of this is adding up to transformational maturity, being better equipped for industry 4.0 and helping your company to increase revenue.
Artificial Intelligence and Machine Learning pack a powerful punch for planning and forecasting Pricing strategies
Understand your customers’ reactions to different pricing strategies
Get the information you need to best motivate and incentivize your distributors
Forecast results knowing the impacts of promotions, rebates, costs
Manufacturers who are supported by software that manages the full lifecycle of their pricing optimization programs will have a strategic advantage in the marketplace. By capturing detailed supply chain performance data in a structured repository with machine learning capabilities, manufacturers (and their supply chain partners) can get instantaneous answers, rather than enduring hours of searching for data, doubting its integrity and manually studying its secrets. In the end, data leads to insights, and insights lead to profits.
For examples and insights on successful AI and ML integration and helpful steps to a comprehensive program approach download the eBook.