Receives user input of customer-facing variables to forecast more accurately than historical sales modeling
Defines the impact of customer reviews, ratings, marketing investment, promotions, coupons, sell price, and product ranking for precise forecasting in today’s turbulent e-commerce marketplaces
Offers users a forecasting method more intelligent than models based only on historical sales