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LeanDNA Launches Demand Scenario Modeling in APEX Platform


LeanDNA Launches Demand Scenario Modeling in APEX Platform
  • by: PR Newswire
  • |
  • August 27, 2026

LeanDNA, a leading intelligent supply chain execution platform, has announced the general availability of Demand Scenario Modeling (DSM), a new capability within its APEX platform that lets production planners, buyers, and supply chain managers instantly test demand changes against real supply and Bill of Materials (BOM) data, without spreadsheets or system risk.

Quick Intel

  • LeanDNA announced general availability of Demand Scenario Modeling (DSM) within its APEX platform.
  • New capability lets production planners test demand changes against live supply and BOM data in minutes without exporting ERP data.
  • DSM replaces spreadsheet-based guesswork that is slow, error-prone and disconnected from real-time system data.
  • Planners can instantly see which components constrain production, how many units can be built, and where shortage risk increases.
  • Capability runs in a sandbox environment connected to live ERP and BOM data, eliminating risk to live system records.
  • Purpose-built for tactical-to-mid-horizon planning window of one to twelve months for turning demand questions into production commitments.

Replacing Spreadsheet Guesswork With Real-Time Feasibility

When forecasts shift, most production planners still turn to spreadsheets to find out whether production can support it: exporting ERP data, flattening multi-level BOMs, and reconciling supply just to answer one question — can we build this? The process is slow, error-prone, and disconnected from real-time system data, and it often produces false shortages that obscure the actual constraints.

Demand Scenario Modeling replaces that manual exercise with what-if analysis built directly into APEX. Production planners can model a demand change and immediately see which components truly constrain production, how many units can realistically be built, and where shortage risk increases, turning a process that has historically taken hours into a workflow measured in minutes.

Sandbox-Based Scenario Planning With Live ERP and BOM Data

Because DSM runs in a sandbox environment connected to live ERP and BOM data, planners can test and compare multiple scenarios, adjust quantities and dates, and recalculate instantly, without posting temporary plans or manipulating live records to get an answer. That combination of speed and system safety is central to how LeanDNA has built the capability.

The solution is available now to APEX customers and is designed specifically for factory-first supply planning, materials management, and inventory optimization across discrete manufacturing.

Impact on Supply Chain Execution and Production Commitments

"Production planners shouldn't have to choose between speed and safety when they're testing a demand change," said Andy Ellenthal, CEO of LeanDNA. "Demand Scenario Modeling gives them both: an answer in minutes, grounded in the same supply and BOM data running their factory, without ever touching a live ERP record. It replaces guesswork with a repeatable way to say yes, no, or not yet with confidence."

Demand Scenario Modeling is purpose-built for the tactical-to-mid-horizon planning window — roughly one to twelve months out — where production teams most often need to turn a demand question into a production commitment, improving on-time delivery and working capital levels.

 

About LeanDNA

LeanDNA powers the world's discrete manufacturing with a single source of truth for factory-first supply planning, materials management, and inventory optimization. APEX, the AI-powered expert execution platform from LeanDNA, transforms data into optimized decisions and action. LeanDNA empowers manufacturers in aerospace, HVAC,industrials, automotive, and medical to improve on-time delivery and working capital levels. Leading manufacturers including Caterpillar, Daikin Applied, Safran, and Siemens use APEX for supply chain orchestration to gain visibility into current and incoming materials, take action based on inventory criticality, collaborate in real time with suppliers, and track progress toward inventory optimization goals.

  • Supply ChainSupply Chain ExecutionManufacturing Tech
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