Challenges We Solve
Common pain points that structured decision models eliminate.
Capacity Guesswork
Demand spikes catch you off guard. Balance production capacity against forecast demand with labor, equipment, and overtime factored in.
Inventory Imbalance
Too much stock ties up capital; too little loses customers. Compute optimal reorder points and economic order quantities.
Logistics Blind Spots
Route inefficiencies and supplier concentration risk go undetected. Map dependencies and optimize delivery paths.
Reactive Maintenance
Equipment fails before it's serviced. Predict failure probability from age, usage, and maintenance history to schedule proactively.
Use Cases
How teams use DecisionLedger to make better decisions.
Runs the demand-capacity planner weekly to balance production loads across 3 plants, factoring in labor availability, equipment constraints, and overtime costs.
Eliminated overtime overspend by matching capacity to demand 2 weeks ahead
Uses the supply chain risk model to score all Tier 1 suppliers by concentration risk, geographic exposure, and lead-time volatility — flagging single-source dependencies.
Identified and dual-sourced 4 critical single-supplier dependencies
Deploys the maintenance prediction model across 200+ assets, scheduling preventive maintenance based on failure probability instead of fixed calendar intervals.
Reduced unplanned downtime by 40% with condition-based maintenance
Measurable Impact
Based on platform benchmarks across early adopters.
Demand Planning
Monthly spreadsheet updates
Weekly LP-optimized plans
Supplier Risk
Annual vendor reviews
Continuous risk scoring
Unplanned Downtime
Calendar-based maintenance
Predictive scheduling
Inventory Turns
Safety stock guesswork
EOQ-optimized reorder points
Connects With
Featured 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.
Quality Yield Tracker
Quality and yield tracking model. Monitors defect rates, rework costs, scrap losses, and first-pass yield to identify process improvement opportunities and vendor quality issues.
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.
How It Works
Three steps to structured, auditable decisions.
Connect Operational Data
Upload operational data from CSV, connect via data warehouse, or use API integrations. Map equipment, inventory, and production data fields.
Optimize & Simulate
Run linear programming, risk matrices, and anomaly detection across capacity, inventory, and supply chain models.
Execute & Track
Push recommendations to operational systems, monitor KPIs, and compare predicted vs actual outcomes.
Your best plant manager retires next year. How much of your operations playbook lives only in their head?
Spreadsheet capacity plans
Static models that can't optimize across constraints in real time
Calendar-based maintenance
Servicing equipment on schedule, not on condition — wasting budget or missing failures
Annual vendor scorecards
Point-in-time reviews that miss supplier risk between assessment cycles
ERP reporting modules
Historical dashboards that tell you what happened, not what to do next