Demand AI holds your organization’s S&OP process to a level of excellency by allowing you to navigate market uncertainties through a thorough data-learning process accounting for historical precedence, current trends, customers behavior & future sales forecasting.
Replenishment Planning enables organizations can leverage the power of artificial intelligence and machine learning to gain valuable insights into their inventory levels. By analyzing data from a variety of sources, including sales history, customer demand, and supply chain disruptions, our AI algorithms can help identify trends and patterns that may impact inventory levels. This, in turn, allows organizations to make data-driven decisions about how much inventory to keep on hand, when to order new products, and how much to order.
In today's competitive business environment, organizations must ensure optimal production schedules to meet customer demand while minimizing costs and maximizing revenue. However, managing production schedules can be challenging, especially when dealing with complex supply chains and fluctuating demand patterns.
Raw Material Planning is designed to provide organizations with real-time insights into their raw material inventory levels, supplier performance, demand patterns, and supply chain risks. With this information, organizations can optimize their procurement strategy and ensure timely availability of raw materials while minimizing inventory costs and supply chain disruptions.
Supply AI is an intelligent supply chain solution that enables enterprises to plan their supply requirements using advanced optimization methods that ensure that supply teams can fulfill the demand forecast and fight demand latency over a specific period.
Risk AI is an AI/ML-based risk assessment tool that continuously monitors the different nodes of the supply chain to Identify, detect, and diagnose risks to understand the factors that drive the disruptions and uses digital intelligence to correct and mitigate the risks.
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