Intelligent Category Growth Forecasting for an American Cosmetics Company - Visionet

Challenge: 

The client's innovation team relied on intuition and assumptions to project the market outlook. They needed a digital solution to build a predictive forecasting pipeline, which could handle complex data from internal and external sources, across different product categories and sales channels. The client required a flexible platform that allowed for need-based changes and addition and deliver accurate forecasts and data-driven insights to modernize their strategic planning.

Solution:

Visionet proposed a platform fabric for forecasting pipelines addressing data variety complexities. To assure accurate forecasts, it used three forecasting model pipelines - Multivariate Model, Univariate Model, and Regressor Search Model - and a smart AI search algorithm. The platform leveraged Visionet's data engineering expertise and data toolkit to harmonize and transform data, and delivered forecasts at multiple granular levels, while addressing COVID data anomalies and recovery dynamics. The resulting data-driven decision-making capabilities enabled the client to achieve their desired business goals efficiently.