Integrating AI technology enables organizations to extract business value from the large amounts of data they handle. It drives a fundamental shift in supply chain operations throughout different areas, shifting from a reactive to a proactive approach. Leading to reduced costs, faster response times to disruptions, and improved decision-making.
- Document processing: Automating the extraction, classification, and validation of data from invoices, orders, and shipping documents to reduce manual errors and accelerate operations.
- Demand forecasting: Using ML to predict future demand based on historical sales and external factors.
- Route & transportation optimization: Dynamically adjusting delivery routes using real-time data on traffic, fuel, and carrier performance.
- Predictive maintenance: Analyzing sensor data to predict equipment failures and schedule repairs before downtime occurs.
- Supplier risk management: Using NLP to scan news and reports for early warnings about at-risk suppliers.
- Dynamic pricing: Simulating promotional scenarios to recommend pricing that maximizes margins and turnover.
