MOTIVATION
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.
Approach:
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.
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Toolset:
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
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Skillset:
Collaboration Platforms
Business Reporting
Machine Learning
Domain Knowledge
Data-driven Problem Solving
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Dataset:
The dataset contains month-on-month car sales data for a period of 9 years.
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OUTCOMES