Inventory Planning Optimization Cloud Service 23.2.401.0

Inventory Planning Optimization (IPO) Cloud Service
A retailer’s most significant investment is its inventory. Inventory Planning Optimization (IPO) Cloud Service provides retailers the ability to best predict how much demand there will be and enables them to deploy their inventory to optimize revenue or margin throughout the course of an item’s lifecycle. Leveraging AI, users can drive an exception-based workflow to understand demand forecasts across their customer base and network. IPO Cloud Service is then able to leverage multiple optimization criteria to best right size inventory deployment across complex supply chains. The result allows retailers to manage their current and future inventory at scale to ensure that customers buy the right products, in the right place and at the right time.

Inventory Planning Optimization (IPO) Cloud Service-Demand Forecasting
Inventory Planning Optimization (IPO) Cloud Service-Demand Forecasting provides accurate forecasts that enable retailers to coordinate demand-driven outcomes that deliver connected customer interactions. With a single view of demand, IPO Cloud Service-Demand Forecasting provides pervasive value across retail processes. Exception-driven and prioritized alerts allow users to maximize the value of their time. Enhanced AI capabilities and models within the forecast allow the application to make more sense of large and disperse data sets, driving increased accuracy over time. The ability to simulate various casual factors allows users to understand the components that impact their demand. Forecasting allows retailers to maximize the value of their inventory by accurately predicting how much inventory is needed and where to place it.

Inventory Planning Optimization (IPO) Cloud Service-Inventory Optimization
Inventory Planning Optimization (IPO) Cloud Service-Inventory Optimization allows users to optimize the settings that drive their replenishment process. Understanding the inventory necessary to achieve a target service level is critical to achieving business goals, and doing so with the least investment reduces need for markdowns and/or missed sales due to out of stocks. The curve in IPO Cloud Service-Inventory Optimization helps you to understand the trade-off between service levels and the cost of associated inventory. IPO Cloud Service-Inventory Optimization recommends an initial service level. With your target service level defined, IPO Cloud Service-Inventory Optimization optimizes target stock levels, which translates into item-location replenishment policies. The replenishment policies are used to complete a full replenishment simulation, giving you visibility into the resulting purchase and into the placement of inventory in a time-phased plan. Finally, IPO Cloud Service-Inventory Optimization drives successful outcomes in end-of-life by recommending rebalancing transfers between stores to increase sell-through in order to avoid markdowns. Rebalancing can be disabled for lower-margin categories where transferring goods is most often cost-prohibitive.

Inventory Planning Optimization (IPO) Cloud Service-Lifecycle Allocation and Replenishment
Inventory Planning Optimization (IPO) Cloud Service-Lifecycle Allocation and Replenishment is an automated allocation and replenishment planning system that constantly monitors inventory conditions and lifecycle phases. IPO Cloud Service-Lifecycle Allocation and Replenishment enables users to create strategies that control how an item is allocated and replenished from introduction to end of life. IPO Cloud Service-Allocation and Replenishment uses strategies, and inventory throughout an item’s lifecycle and allows users to spend their time managing exceptions. Ultimately, this increases the inventory efficiency and margin across a product’s lifecycle.