Increasing complexity and demand from global supply chain organizations leave zero room for error in their processes. They need to meet the expectations rapidly and with better productivity and results. The level of machine automation in this sector is increasing rapidly, making it critical for organizations to increase their productivity by predicting the uncertainties, improving service quality, and leveraging the power of Artificial Intelligence.
MOURI Tech’s in-house accelerator, aiAURA ControlTower, combines three distinct processes into one to automate the supply chain and create an intelligent AI-enabled environment. This, in turn, delivers the powerful optimization abilities needed to have improved productivity, accurate capacity planning, better quality, lower costs, and higher outputs within a safer work environment.
Automatic ingestion of various data sources (Macroeconomic, Industry-Specific, Private & Government) into a data lake
Data Driven Key features identification from market data with powerful correlations, timeseries & other impact analyses
Machine Learning models that are suitable to predict & simulate a range of demand, supply & price scenarios
Continuously learning models based on user feedback
Co-relation with external market indicators, Competitive outlook
SKU Inventory stockouts, Forecast accuracy
Possible what-if scenarios, historical references & context
Prevent vendors from shipping non-FDA compliant product
Inventory re-balance proposals, Alternative vendors
Stock transport orders, Master data updates, Vendor changes
Historical Trends, Demand Correlations, Bivariate & Univariates
Extracted Key Features Impacting Business + Predictive & Simulation Models
Improved Business Strategy & Forecasts for Demand, Supply & Price
A Pharma Major Implemented Machine Learning Models to Predict Peak Demands & Stockout Scenarios
A Food Processing Giant Leveraged Demand Sensing for Price Forecasting via External Market Intelligence & Econometrics Data
