Demand forecasting analyzes historical data to forecast the potential of sales in the pre-determined future. Demand Forecasting helps Automotive companies make crucial business projections for project turnover, profit margins, revenue inflow, expenditure, risk assessment, mitigation scenarios, and capacity planning. AI-powered predictive analytics is used to predict customer demand and operationalize supply chain and business management.
Rubiscape’s demand forecasting leads to effective inventory management and evaluation of proposed holding cost. It helps map uncertainties and looks at how hidden undercurrents in present-day data change the business track at the organizational level in particular and the global level in general. Thus, you can identify all possibilities without making limited predictions.
RubiStudio – Merging and Joiner, Expression Evaluation, Descriptive Stats, Hypothesis, Code Fusion, Writer
RubiCast – Data exploration, Data preparation, ARIMA, Auto ARIMA, Random walk
Rubisight – Exploratory and Demand Forecasting Dashboard with filters
Data-driven Problem Solving
The dataset contains month-on-month car sales data for a period of 9 years.