You've worked hard to ensure your products command a strong brand premium. You'd like to increase top-line growth by raising prices, but you don't know on which SKU's or by how much. You worry price increases will drive some customers to switch brands; where is the sweet spot?

We harmonize your internal and syndicated data to feed our models in a cloud built for you. Our demand forecasting model automatically disentangles the drivers of demand -- unemployment, seasonality, region, flavor, promotion, competition, etc, including price sensitivity.

Our decision model uses that price sensitivity and a microeconomic model to recommend a new optimal price, with a quantified risk, for every SKU. Brand managers use our delightful app to see the data, tweak and submit price changes to an integrated approval cascade. New prices are deployed to the ERP and the model continues to monitor sales and recommend adjustments.