Replenishment AI

Stock Smart, Replenish Smarter

3SC’s 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.
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Get the right stock, in the right place, at the right time

3SC’s Replenishment Planning is a SaaS-based platform designed to help organizations plan their inventory replenishment. The platform offers several capabilities that allow organizations to manage their inventory levels, policies, and replenishment strategies efficiently. Ensuring that the right products are available in the right quantities at the right time is crucial for organizations to stay competitive and meet customer demand. However, achieving optimal inventory levels can be a complex and daunting task. 3SC’s Replenishment Planning is a powerful AI-based SaaS product that helps organizations plan their inventory optimization through technologies such as AI/ ML, advanced analytics, and data analytics.

Advanced analytics is another critical component of Replenishment Planning. By analyzing historical data, our solution can help organizations identify which products are selling well and which ones are not. This information can be used to optimize inventory levels, reduce waste, and improve profitability.

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Optimization on inventory replensihment costs

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Less excess inventory

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Better inventory fill rates

What Value Does Replenishment AI Add To Your Business?

The tool allows organizations to manage their inventory levels by setting minimum and maximum thresholds for each product. By monitoring inventory levels and automatically generating alerts when inventory levels fall below or exceed predetermined thresholds, organizations can reduce the risk of stockouts and overstocking.

It enables organizations to define inventory policies that govern their replenishment strategies. By defining policies such as reorder points, safety stock, and lead time, organizations can optimize their inventory replenishment strategies and reduce the risk of stockouts and overstocking.

It allows organizations to plan their inventory replenishment based on inventory levels, policies, and historical data. By leveraging advanced AI algorithms, Replenishment Planning can highlight stockouts and back orders, and recommend optimal replenishment strategies. This helps organizations reduce the risk of stockouts and overstocking and improve customer satisfaction.

It enables organizations to visualize their inventory data in a consolidated manner. By consolidating data from multiple sources, such as inventory management systems, point-of-sale systems, and supply chain data, organizations can their inventory turnover levels and make informed decisions about their inventory replenishment strategies.

The tool leverages advanced AI algorithms to analyze inventory data and identify patterns and trends. In addition to that, the tools allows algorithm customization and automated outlier correction that further help organizations optimize their inventory replenishment strategies and reduce the risk of stockouts and overstocking.

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