How it works
Houston Analytics' Forecasting as a service applies machine learning and combines time series data with additional variables to generate purpose-built, ready-to-use forecasts for process optimization and decision support. The forecasting process is customized to client-specific needs, taking full advantage of available internal and external data sources relevant to the specific forecasting requirements
With machine learning, the forecast models are trained to find unique contextual patters using your own historical data, and over time the model learns, adapts and improves. Houston Analytics is able to complement your own data sources with external weather, competition, geographical and demographics data available from various public and 3rd party data sources.
This allows you to optimize product and service availability across different categories and locations, decrease over/under stocking, and gain improved understanding of sales patterns and their drivers at a more detailed level.