Main challenge for retailers is inventory management. Purchase too many and you will end up discarding the stock. Purchase too few and you run out of stock. Optimized inventory demand forecasting with machine learning and deep learning techniques.

Factors contributing to predicting accurate demand of a product include price, time, popularity and space. Two major problems that retailers face are surplus or understocking. Deep learning algorithms such as Stacked Generalization helps businesses improve the predictive performance. ​ Efficient and accurate demand forecasting is also possible through implementation of Artificial Intelligence too. ​

We specialize in forecasting for efficient supply chain planning. Gradually, we have implemented forecasting techniques in other business scenarios such as space optimization.

Data Inputs

Our Approach​

Environmental Forecast

  • Regression Analysis
  • Sales Force Composite
  • Customer Evaluation
  • Projecting Inflation

Industry Forecast

  • Exploratory Data Analysis
  • Grey Forecasting
  • Residual Modification
  • Time Series Analysis​

Sales Forecast

  • Regression Analysis​
  • Opportunity Stage Metrics​
  • Scenario Writing​
  • Sales Metrics

Meet Our Customers

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