Case Study: Tobacco Company achieves better sales and ROI forecasting with DataArt

Machine Learning to Predict Sales and ROI at Points of Sale

DataArt worked with Tobacco Company, one of the world’s largest tobacco manufacturers, to modernize sales analytics across its geographically distributed points of sale. The company’s marketing and sales teams had been doing sales prediction and ROI analysis manually, and needed a faster, more automated way to optimize promotions and advertising spend while improving local-market sales performance.

DataArt built a cloud-ready, Apache Spark-based machine learning solution using open source tools such as Python, R, WEKA, and scikit-learn to process demographic, geographic, seasonal, behavioral, and market data. The platform enabled scenario simulation, ROI and uplift prediction, and better marketing strategy selection, helping Tobacco Company make more accurate pricing, forecasting, campaign targeting, and promotion-impact decisions that increased sales effectiveness, margins, and market share.