AI Consulting: Enhancing Sales Prediction Models
Challenge
A publicly traded global manufacturing company specializing in water and fuel systems needed to improve its AI sales prediction models to better align inventory with customer demand. Existing models lacked accuracy, and both dataset processing and the ML approach required enhancement. InData Labs was challenged to identify inefficiencies and deliver a clear roadmap for improvement.
A publicly traded global manufacturing company specializing in water and fuel systems needed to improve its AI sales prediction models to better align inventory with customer demand. Existing models lacked accuracy, and both dataset processing and the ML approach required enhancement. InData Labs was challenged to identify inefficiencies and deliver a clear roadmap for improvement.
Solution
InData Labs ran a series of consulting workshops covering two core areas: data analysis and AI model optimization. The team performed data correlation and distribution analysis, integrity checks, and advanced feature engineering — alongside forecasting model improvements including model selection, target variable scaling, and hyperparameter tuning — all backed by detailed documentation and recommendations.
InData Labs ran a series of consulting workshops covering two core areas: data analysis and AI model optimization. The team performed data correlation and distribution analysis, integrity checks, and advanced feature engineering — alongside forecasting model improvements including model selection, target variable scaling, and hyperparameter tuning — all backed by detailed documentation and recommendations.
Results
InData Labs delivered a comprehensive consulting package with three key outputs: a data analysis report covering feature correlations and dependencies, evaluated AI models with documented performance benchmarks, and a structured recommendations report for improving prediction accuracy — giving the Client a clear, actionable path to more reliable sales forecasting and better production planning.
InData Labs delivered a comprehensive consulting package with three key outputs: a data analysis report covering feature correlations and dependencies, evaluated AI models with documented performance benchmarks, and a structured recommendations report for improving prediction accuracy — giving the Client a clear, actionable path to more reliable sales forecasting and better production planning.