Forecasting and Replenishment Software

Maximize Your Return On Inventory Assets

In many enterprises, inventory is the largest continuous investment you make, so getting the most out of this investment is critical. Manhattan’s Forecasting & Replenishment solutions enable retailers and wholesalers to maximize sales and customer service with the least amount of inventory investment possible. These solutions combine market-leading innovation, advanced algorithms, and data science with an intuitive, visually-stunning user experience, helping drive shareholder value from every inventory-intensive operation.

Omnichannel Inventory Optimization

Omnichannel transformation strategies have driven massive operational innovations, many of which have resulted in significant disruptions to optimized inventory plans. But all for good reason—meeting customer expectations and driving customer loyalty. In a world where supply can be leveraged by any channel, for any fulfillment experience, and at any given point in time, the methods for forecasting and replenishing have to evolve. Demand is no longer one-dimensional, and inventory supply must be considered in far more granular ways than in the past. Manhattan Replenishment includes unique modeling and optimization of network inventory, considering selling and fulfillment strategies by channel.

Superior Science To Drive Maximum Innovation

Manhattan’s Forecasting & Replenishment solutions were born from the belief that better science yields greater return on inventory investment for our customers. We’ve held that belief as a core tenant of our solutions strategy for many years, and this has resulted in innovative breakthroughs in the area of inventory management.

Machine Learning For Inventory Self-Tuning

Manhattan now offers machine-learning-based capabilities, which enable our solutions to not only detect opportunities to improve results but also to self-tune inventory strategies to drive even greater financial benefits for our customers.

Deliver On Your Promise to Customers