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Inventory Planning

Key Features

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Days-of-Supply Calculation

Determining the quantity of inventory on hand in relation to the average daily usage rate to forecast how long current inventory will last.

Shortage and Excess Inventory Analysis

Novel methods to identify and manage shortages or excesses in inventory levels efficiently with the help of important Inventory KPIs

Aging Analysis

Using advanced approaches to assess the age of inventory items and their impact on operational efficiency and costs, considering factors like expiry of inventory and so on.

Safety Stock Analysis

Evaluating the optimal level of extra stock held to mitigate the risk of stockouts due to variability in demand or supply lead times.

Inventory Rebalancing

Implementing creative strategies to adjust inventory levels across warehouses or plants to optimize overall performance.

Inventory Analysis

Scrutinizing diverse inventory types to inform decision-making based on comprehensive parameters. For instance, analysing pipeline inventory assists in understanding goods in transit across supply chain stages, refining decision processes.

Reduction Opportunities

Identifying novel avenues for reducing excess inventory, minimizing waste, and improving overall inventory management.

Advanced ML Assisted Lead Time Calculations

Leveraging sophisticated machine learning algorithms to forecast the time required for the delivery of goods or completion of processes with high accuracy.

Inventory Risk Assessment

Evaluating potential risks associated with inventory management, such as stockouts, overstocking, obsolescence, and supply chain disruptions, to mitigate adverse impacts and optimize inventory performance.