Sell the right product at the right price and ensure availability

Consumer packaged goods (CPG) companies face a challenging mix of industry forces. The hard things are still hard – creating products people will buy and love and ensuring these products are on the shelves at the right time. In addition, consumer preferences and shopping habits have been changing dramatically, and difference between markets around the world have become more pronounced. Data science can help CPG companies take these shifts in stride and excel.

Design products consumers want

Develop the right products for the right customer segments that meet their needs and wants and maximize profit.

Learn more about customer segmentation

Employ price and promotions with precision

Leverage all available data – seasonal demand, competitors’ prices, supplier volumes, etc. – to adopt the best possible price and promotional strategy at each moment, in each market.

Learn more about price optimization

Match supply with expected demand

Forecast the demand for products and adjust production plans accordingly. Ensure the right volume of product is in the market at all times.

Learn more about demand forecasting

Optimize supply chains, forward and back

Manage supply and delivery chains, reducing risk of outages. Ensure finished goods get into consumers’ hands reliably, and production inputs arrive on time and cost-effectively.

Learn more about risk management

Lightning Fast Data Science

Built for analytics teams, RapidMiner unifies the entire data science lifecycle from data prep to machine learning to predictive model deployment. Organizations can build machine learning models and put them into production faster than ever, using RapidMiner’s lightning fast visual workflow designer and automated modeling capabilities. 400,000 analytics professionals use RapidMiner products to drive revenue, reduce costs, and avoid risks.