Revenue Forecasting
Why this use case matters
Improving sales forecasting processes and outputs to optimize inventory and supply helps manufacturing organizations better understand the market trends that influence their customers’ behavior while providing shareholders a more accurate represen-tation of the business. Implementing these forecasts will keep cost of goods sold down, elevating profit margins and having a positive downstream effect on other sales metrics.
Techniques
Time Series Forecasting, Auto-Regressive Models, Multivariate Models
Algorithms
ARIMAX, SARIMAX, Exponential Smoothing, Neural Networks, Decision Tree Learning, LSTM, Multilayer Perceptrons (MLO)
Outcome
Improved accuracy of revenue forecasts and automated generation of predictions, delivering meaningful ROI.