Supply Chain Decisions
Optimize flow and resilience across the network
Balance service, cost, and resilience across your supply chain. Plan demand and capacity, optimize inventory and routing, and quantify the risk in your supplier network before disruption hits.
Challenges We Solve
Common pain points that structured decision models eliminate.
Demand and Capacity Misalignment
Forecasts and capacity drift apart, driving stockouts or idle resources. Plan demand and capacity together with uncertainty built in.
Inventory in the Wrong Places
Working capital sits as the wrong stock in the wrong nodes. Optimize inventory across the network to hit service levels at the lowest cost.
Fragile, Opaque Networks
A disruption at one node cascades before anyone reacts. Model supplier and network risk to find single points of failure ahead of time.
Reactive Logistics & Maintenance
Routing and maintenance decisions are made too late and too manually. Optimize routing and predict maintenance to keep flow moving.
Use Cases
How teams use DecisionLedger to make better decisions.
Uses demand-capacity planning and scenario modeling to test the network against a major supplier disruption and pre-position inventory accordingly.
Built a disruption playbook backed by quantified scenarios
Runs inventory optimization across nodes to free working capital while holding target service levels, replacing static safety-stock rules.
Freed working capital without sacrificing service levels
Combines process bottleneck analysis and maintenance prediction to keep production flowing and avoid unplanned downtime.
Reduced unplanned downtime with condition-based maintenance
Measurable Impact
Based on platform benchmarks across early adopters.
Demand Planning
Single-point forecasts
Probabilistic planning
Inventory
Static safety stock
Network optimization
Resilience
Reactive to disruption
Scenario-tested
Maintenance
Calendar-based
Condition-based prediction
Decision Intelligence for the Network
Plan, optimize, and stress-test the supply chain end to end in one governed platform.
Demand & Capacity Planning
Align demand forecasts with capacity using probabilistic models so you avoid both stockouts and idle resources.
Inventory & Routing Optimization
Optimize where inventory sits and how goods move to hit service levels at the lowest total cost.
Resilience Modeling
Simulate disruptions and quantify supplier and network risk to find single points of failure before they fail.
Connects With
Part of 150+ native integrations across CRM, marketing, finance, HR, ecommerce, and analytics
Salesforce
HubSpot
Stripe
Shopify
Google Analytics 4
Workday
QuickBooks
Snowflake
Slack
Zendesk
GitHub
Meta Ads
Mailchimp
NetSuite
Jira
Power BISalesforceHubSpotStripeShopifyGoogle Analytics 4WorkdayQuickBooksSnowflakeSlackZendeskGitHubMeta AdsMailchimpNetSuiteJiraPower BIFeatured Models
Pre-built decision models ready to run with your data.
Demand Capacity Planner
Demand and capacity planning model. Balances production capacity against forecast demand, factoring in labor, equipment, and overtime to identify capacity gaps and recommend staffing or CapEx actions.
Inventory Optimization
Inventory optimization model. Determines optimal stock levels by balancing carrying costs against stockout risk, computing reorder points and economic order quantities.
Logistics Routing
Logistics and routing optimizer. Evaluates delivery routes and transportation modes to minimize cost, transit time, and carbon emissions while meeting service level requirements.
Maintenance Prediction
Predictive maintenance model. Estimates equipment failure probability based on age, usage hours, and maintenance history to optimize maintenance scheduling and reduce unplanned downtime.
Process Bottleneck
Process bottleneck identifier. Analyzes workflow stages to find constraints limiting throughput, quantifies bottleneck impact, and prioritizes lean improvement and automation opportunities.
Production Scheduling
Production scheduling optimizer. Determines optimal job sequencing to minimize changeover time, maximize throughput, and meet delivery commitments across multiple product lines.
Scenario Planning & Stress Testing
Model multiple future scenarios and stress test decisions against adverse conditions. Quantifies upside, downside, and base-case outcomes with probability-weighted expected values. Computes Value at Risk (VaR), Monte Carlo confidence intervals, scenario comparison matrices, sensitivity analysis, and risk-adjusted recommendations.
Supply Chain Risk
Supply chain risk analyzer. Maps supplier dependencies, evaluates single-point-of-failure exposure, and scores overall supply chain resilience to inform diversification and contract negotiation decisions.
Working Capital Optimizer
Quantifies trapped cash across AR, AP, and inventory by computing the Cash Conversion Cycle and its components. Surfaces hidden liquidity before layoffs or debt by modeling DSO, DPO, DIO, and the dollar value of working-capital improvement levers. Feeds downstream cash-flow models, vendor-term negotiations, and collections prioritization.
Supply Chain Risk Monitor
Supply chain risk assessment with stress testing extreme scenarios and k-means supplier segmentation to track disruption probability and concentration risk.
How It Works
Three steps to structured, auditable decisions.
Connect Network Data
Bring together demand, inventory, supplier, and logistics data across nodes. Map the network once and refresh on schedule or via API.
Optimize & Simulate
Run demand-capacity planning, inventory optimization, and routing models. Simulate disruption scenarios and quantify resilience trade-offs.
Monitor & Respond
Track supplier risk, detect bottlenecks, and predict maintenance needs so you can act before disruptions cascade.
A key supplier just went down, you have inventory in the wrong nodes, and customers want their orders. Can you model the best response in an hour, or react blind?
Spreadsheet planning
Static demand and inventory plans that ignore uncertainty and break under disruption
Siloed point tools
Separate demand, inventory, and logistics tools that never reconcile into one decision
Calendar maintenance
Servicing assets on schedule, not condition, while failures happen between intervals
Qualitative risk reviews
Annual supplier risk decks with no quantified network exposure