take Control
of your
supply chain

Early visibility. Better options.

Faster Decisions.

Results Delivered Next quarter

Elastic connected supply chain planning for global supply chains

Sales and Operations Planning (S&OP)

Better executive decisions based on the latest information, powerful modeling and live scenarios

  • Align demand, inventory, capacity & finance
  • Scenarios & one-click adoption
  • Automatic S&OP/IBP decks generation
sales and operations best practices

C-level executives do not have current information when making resource alignment decisions during the S&OP/IBP process. As a result, they may be missing opportunities or committing resources in a way that has diminished value. The time and effort required for planning teams to analyze and report on the options often means the choices are out of date by the time they’re presented. And they become more out of date as the decision is incorporated back into operational systems.

Valizant Sales & Operations Planning provides executives live access to recommended actions to align resources based on the current consensus demand plan, constrained supply plan and financial plans. Executives explore scenarios and run live what-if analysis to evaluate capacity and inventory trade-offs, working capital requirements and impact on margins. Business context and assumptions are captured for reference in future planning cycles. Approved scenarios are adopted back to the underlying plans for immediate action. S&OP/IBP reports and decks are automatically generated in the application or output in PowerPoint format.

Demand Planning & Collaboration

Seamless collaboration and Machine Learning increase forecast accuracy

Demand Planners lack time in the planning cycle to analyze and collaborate to meaningfully improve forecast accuracy and identify upside opportunities.As a result, downstream planning is not aligned to the future demand. Disconnected data, siloed planning and reconciliation delays limit the time
planners have for detailed analysis and create persistent barriers to better forecasting.

  • Sales, marketing, product management, & finance collaboration
  • ML-powered statistical forecast, customer forecasts, promotion plans, NPI & attach rate

Wright Medical Case Study

Valizant Demand Planning & Collaboration (DPC) provides seamless collaboration across sales, marketing, product management, finance and
operations based on ML-powered statistical forecasting, customer forecasts and promotion plans supporting sell-in, sell-through and rate-of-sale planning. New and end-of-life product planning evaluates the effect of cannibalization, supersession, pricing and product mix on revenue and
margin. For configured products, attach-rate planning enables translation of model and options-based plans into products and components. Planner initiated scenarios enable side-by-side of comparison of upside opportunities and adoption to demand plan.


Network Inventory Planning

Near real-time visibility, ML-powered inventory targets and actionable insights across the entire inventory network

  • Near real-time multi-echelon network visibility with actionable insights
  • Forecast driven allocation and movement
  • ML-assisted Stocking Strategy and Demand Readiness

Bauer Hockey Case Study

Getting the right inventory in the right place at the right time can be hard enough. Add in the challenges of multi-echelon networks – numerous suppliers, long lead times, capacity limitations – and the process becomes exponentially more complicated.

Valizant Demand Driven Distribution (DDD) provides near real-time visibility and actionable insights across the entire inventory network. DDD is a live environment that supports highly accurate, forecast-driven allocation and movement throughout multi-echelon networks and avoids the limitations of traditional solutions that often rely on outdated and incomplete information.


Rough-cut capacity planning

Real-time monitoring, live recommendations and scenarios provide optimal utilization and increase margins

Capacity Planners are forced to use simplified assumptions and outdated information when allocating capacity or planning yields. The result is supply gaps, excess inventory and idle production resources. Short planning cycles, Excel modeling limitations and the difficulty working in large, fragile spreadsheets create resource plans that can’t support the detailed analysis critical for optimal utilization.

  • Resource constraint alerts and recommendations
  • Company-specific rules for optimal capacity allocation
  • Planner scenarios compare trade-offs, requirements & impact with one click adoption

Bauer Hockey Case Study

Valizant Rough-cut Capacity Planning (RCP) identifies and alerts planners to unsatisfied demand across production resources and provides live recommendations based on company-specific business rules which are easily adopted for optimal capacity allocation. Planner scenarios enable comparison of capacity trade-offs and the impact on margins. Selected scenarios are adopted to the baseline for immediate action.