Manufacturing companies face some common problems when it comes to demand forecasting:
Improve accuracy by leveraging predictors for legacy & new products.
Minimize costs, improve cash flow and boost profitability.
Obtain cost efficiency through improved transportation planning.
phData’s Demand Forecasting solution Snowflake pivots demand planning from an art to a science.
Our solution deploys Snowpark to create a demand forecasting solution to achieve real predictive value for your business.
Our Demand Forecasting on Snowpark Solution delivers the following:
Our solution will provide value in the following areas:
A luxury auto manufacturer geared up to release it’s first ever electric model, but was heavily dependent on a manual, Excel-based approach to sales forecasting.
phData’s data science team deployed our Demand Forecasting solution to create a model that uses data clustering, historical data, present-derived features and forecasts fora. multivariate time-series forecasting framework.
By utilizing Snowflake as both the source of the input data and the destination for the output data, forecasting results at trim level are up to 50% more accurate than traditional models.
Curious about how to accelerate your Snowflake manufacturing journey? We’ve got you covered!
