Coming Soon

Using the power of AI to better understand future demand.

Legacy Methods: spreadsheets, rule-of-thumb adjustments, or basic statistical models (like moving averages, linear regression, ARIMA).

Limitations:

  • Rigid → struggles with sudden shifts (supply chain shocks).

  • Manual → requires constant human intervention, time-consuming.

  • Limited inputs → usually based only on historical sales/financial data.

  • Poor scalability → hard to handle thousands of SKUs or complex supply chains.

Solution:

The word "PROCR" with a globe icon replacing the letter "O".

AI Integration Methods: Uses machine learning and deep learning (LSTMs, transformers, ensemble models) to find complex, nonlinear patterns.

Benefits:

  • Accuracy & Adaptability

  • Automation

  • Scalability

  • Scenario Simulation (“What If”)

  • Early Anomaly Detection

  • Integration-Friendly