BOSTON — March 7, 2023 — ToolsGroup, a global leader in retail and supply chain planning and optimization software, has announced the latest version of its Service Optimizer 99+ (SO99+) software, adding new dynamic planning capabilities and modularization to SO99+ and enhancing existing supply planning functionalities. This is just the latest of the company’s significant strides towards making supply chains a force for good by helping organizations guarantee service, reduce excess stock, and increase profits.
With the release of v8.60, ToolsGroup further improves supply chain agility and resilience with expanded capabilities that now deliver:
- Enhancements to Dynamic Sourcing and Multi Sourcing plans simultaneous replenishment from multiple suppliers, and automatically activate back-up suppliers with shorter lead times based on the probability that primary suppliers will be unable to meet demand. The dynamic sourcing capability automatically smooths inventory targets day after day and ensures target service levels are achieved regardless of supplier constraints.
- Dynamic Stock Levels provide automatic lead time adjustments that adapt safety stock and cycle stock targets to demand and supply changes, and calculate the projected lost sales in the downstream network.
- Probabilistic Bill of Materials delivers more comprehensive inventory planning for raw materials, assemblies, subassemblies, parts, and components, while allowing for flexible planning based on the probability of a component being used.
- Modularization enables engines like Stock-to-Service Curves to be provided as micro-services to other applications in the supply chain ecosystem.
- Service Driven Planning: A unique technology that creates inventory plans based on service level targets.
- Multi-Echelon Optimization & Replenishment: An advanced optimization technique that determines the optimal inventory levels across the entire supply chain network, allowing customers to simultaneously decrease inventory across the ecosystem, while increasing service level performance.
- Stock Mix Optimization: The setting and planning of differentiated and market-oriented service level targets as an optimal compromise between service and inventory.
- What-If Scenario Planning : The simulation and optimization of inventory and service levels trade-offs and their impact in different design scenarios.
- Distribution Requirement Tunnelling™: The time-phased planning of inventory and safety stock parameters and the visualization of performance against those parameters in a replenishment tunnel dashboard.
- Network Balance: Ensuring the right balance across the distribution network for each item in the Bill of Materials, including optimal staging, fair allocation of source availability, and automatic inter-depot transfers.
- Supply Constraints: Mapping and modeling of all relevant supply chain constraints like shipping/receiving calendars, supply lots, order frequency, order constraints, and replenishment dates.
- Optimized Replenishment: Optimization of replenishment planning in challenging supply chain configurations such as multi-sourcing, network lost sales, equivalent products and inventory lot expiration dates.
- Aggregate Constraints: Planning of purchase and transfers to meet supply and capacity aggregate constraints, optimizing the service level in the network through the use of requirement tunnels.