Multi-echelon supply chains. Global manufacturing networks. Regulatory-grade financial governance. Built in Houston, Texas for the industries that power the global economy.
Purpose-designed for the full oil and gas value chain — from exploration and production through refining and distribution to oilfield services.
Capital expenditure forecasting for drilling programs, reserve-based production forecasting with decline curve analysis, commodity price scenario simulation using real-time WTI, Brent, and Henry Hub data (integrated via FRED API), Monte Carlo simulation for prospect risk assessment, multi-echelon inventory optimization for field operations equipment, consumables, and critical spare parts across remote operating locations. Working capital optimization balancing capex commitments against production revenue uncertainty.
Throughput volume forecasting across pipeline networks, capacity planning under variable flow rate scenarios, storage facility inventory optimization (crude, NGL, refined products), tariff and fee revenue modeling with take-or-pay contract analysis, regulatory-compliant financial reporting for FERC and state commission filings, and stress testing for volumetric risk under demand downturn scenarios.
Crack spread analysis and refinery margin forecasting, production planning for refined product slate optimization, finished product demand sensing across wholesale and retail channels, distribution network inventory optimization (terminals, depots, retail stations), retail fuel demand forecasting with seasonal and pricing elasticity modeling, and full value-chain margin analysis from crude acquisition through retail sales.
Equipment demand forecasting across 100,000+ SKUs including drill bits, tubulars, downhole tools, surface equipment, and consumables. Multi-echelon spare parts optimization across manufacturing plants, regional distribution centers, and field service locations. Rig count-driven demand modeling using Baker Hughes and FRED leading indicators. Working capital optimization balancing inventory investment against service level requirements for critical, time-sensitive operations.
Long-horizon programs, complex assemblies with thousands of components, stringent regulatory compliance, and multi-year financial planning.
Long-horizon financial forecasting for multi-year defense and aerospace programs spanning 5-20 year lifecycles. Contract-based budget planning with milestone governance and earned value management (EVM) integration — tracking BCWP, BCWS, ACWP, CPI, SPI, and EAC metrics. Monte Carlo simulation for program cost-at-completion analysis and schedule risk assessment with confidence intervals. SOX and DFARS compliance built into every governance workflow.
Multi-echelon spare parts inventory optimization for complex assemblies with deep bill-of-materials structures and long procurement lead times. Aftermarket parts demand forecasting for MRO (Maintenance, Repair, Overhaul) operations supporting fleet sustainment programs. Intermittent demand handling via Croston and ADIDA methods for slow-moving, high-value components. ITAR-aware governance for controlled items across international supply chains.
Global plant networks, multi-echelon distribution, cross-functional financial planning, and demand-driven operations.
Safety stock and reorder point optimization across manufacturing plants, regional distribution centers, local warehouses, and customer-facing locations. Six optimization algorithms (GSM, SSM, METRIC/VARI-METRIC, Lagrangian Relaxation, Reinforcement Learning, Hybrid Ensemble) auto-selected based on network topology and demand characteristics. ABC-XYZ-FSN classification for inventory segmentation with differentiated service level policies per segment.
Full Oliver Wight 5-step S&OP/IBP implementation connecting demand planning, supply planning, and financial reconciliation across business units. Per-SKU demand sensing with 38 auto-optimized algorithms and promotional uplift modeling. Cross-functional financial planning integrating manufacturing cost, procurement spend, logistics expense, and revenue projections into unified 3-statement forecasts. Budget governance with SOX-compliant approval chains.
Feedstock-to-finished-product optimization, margin management under commodity volatility, and multi-tier inventory across the chemical value chain.
Feedstock cost forecasting with commodity price scenario simulation (naphtha, ethane, propane, natural gas) using real-time FRED and market data integration. Crack spread and chemical margin analysis across product lines. Production planning for process yields with co-product and by-product accounting. Stress testing for margin compression under simultaneous feedstock cost increases and product price declines. Monte Carlo simulation for investment and expansion decisions.
Multi-echelon inventory optimization across feedstock storage, intermediate chemical tanks, finished product warehouses, and distribution terminals. Batch process scheduling integration for production campaigns. Demand sensing for specialty and commodity chemicals with seasonality, contract volumes, and spot market dynamics. Regulatory-compliant financial reporting for EPA, OSHA, and REACH requirements. SOX governance for publicly traded chemical companies.
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