Supply chain variability and the benefits of an AI-driven supply chain software
Supply chain variability can arise due to a variety of factors such as natural disasters, epidemics, and geopolitical shifts. However, most of the variability generated by these factors can be eliminated by addressing specific supply planning solutions, management, and demand at regular intervals, through focused solutions.
1. Supply Variability: Supply variability can occur at the procurement level as well as in-store inventory levels. When demands for goods escalate, insufficient resources for procuring components can lead to unmet consumer demand. Parallelly, if the demand slows down, excess inventory can take up expensive storage space in both warehouses as well as stores.
2. Managerial Variability: Managerial variability surfaces due to inefficient management personnel and/or processes. To ensure reduced variability, it is important to optimize supply chain management solution for enhanced visibility. High degrees of visibility and development of holistic systems ensure that chances of delay in demand fulfillment are reduced and that the supply chain is optimized for risk-reduction.
3. Demand-driven Variability: Demand-driven variability impacts every level of the supply chain. From warehouse inventory to transport and shipping, demand is the key driver while determining supply chain operations. Demand-driven variability arises due to global disruptions, seasonal events, and regional factors. However, demand-driven variability can be greatly reduced by demand sensing tools that enable risk reduction.
ThroughPut’s AI Software Suite facilitates advanced buffer management with Artificial Intelligence generating insights from base inputs. ThroughPut’s tool helps to achieve efficiency and transparency by eliminating bottlenecks in supply chains. With a sound AI-driven S&OP process, risks can be significantly reduced with accurate demand sensing, inventory management, and warehouse optimization.
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