Neusig sits above your data layer (data lake, data warehouse, databases) and below executive decision-making. Your ERP, CRM and operational systems stay where they are — Neusig replaces the planning, forecasting, inventory optimization, FP&A, stress testing and operational execution stack you buy on top of them, unified in a single decision-intelligence platform.
Cross-System Decision Intelligence — Continuous Data Flow
Every system feeds intelligence into every other system — automatically, bidirectionally, in real time. A demand change cascades through inventory, budgets, stress tests, and compliance without manual data transfer.
S&OP · IBP · Demand Forecasting · Inventory Optimization · FP&A · Risk — one platform, one subscription.
Every system shares a common data model, governance framework, and cross-system intelligence layer. No middleware. No integration projects. New systems are added continuously.
Every system feeds insights into every other system. A demand forecast change in FFS automatically updates safety stocks in MEIO, adjusts the IBP plan, recalculates budget impact, and re-evaluates stress test scenarios — without manual data transfer or middleware.
Above your data layer. Below executive decision-making. Your transactional systems of record stay exactly where they are.
Industry analysts (Gartner) call this consolidated category “Decision Intelligence” — the practical reality is simpler: Neusig is the integrated S&OP + Demand + Inventory + FP&A + Risk + Working-Capital stack, in one platform, on one subscription.
Every insight is auditable. Every recommendation is traceable. Every output is reproducible. No black boxes.
Every insight, recommendation, and executive narrative is generated by deterministic algorithms — not by opaque language models. The same inputs always produce the same outputs. Every claim traces to a specific computed metric. Every recommendation cites its data source. Fully compliant with SOX Section 404 traceability requirements and BCBS 239 Principle 9 (Clarity and Usefulness).
Every narrative follows a structured format that transforms raw analytics into actionable executive guidance. What Happened — the observed condition with specific values and cross-system context. Why It Matters — root cause analysis, regulatory implications, and quantified business impact. What To Do — specific, actionable steps with priority, ownership, and expected impact. Designed for CFOs, CTOs, and board-level reporting.
Connects directly to your databases, data warehouses, and data lakes through secure read-only views. No ERP integrations. No middleware. No ETL pipelines. All twelve systems operate from a single data connection with cross-system intelligence flowing automatically. Deploy in 2-4 weeks — not 12-36 months.
38 algorithms spanning classical statistical methods (ARIMA, SARIMA, ETS, Theta, MSTL), gradient-boosted machine learning (XGBoost, LightGBM, CatBoost), deep learning (LSTM, Temporal Convolutional Networks), ensemble methods (Random Forest, Stacking Regressors), and purpose-built frameworks (Prophet, Croston for intermittent demand). Every algorithm is automatically evaluated, optimized via Optuna hyperparameter tuning, and ensembled per forecast target. No consultant intervention required.
From raw data to board-ready intelligence. Every step is auditable, every output is reproducible, and every recommendation is traceable to its source data.
Built in Houston, Texas — designed for the industries that power the global economy.
Neusig is purpose-designed for the complexities of the global oil and gas industry — from exploration and production through refining and distribution.
Capital expenditure forecasting, drilling program financial planning, reserve-based production forecasting, commodity price scenario simulation (WTI, Brent, Henry Hub via FRED), and multi-echelon inventory optimization for field operations.
Throughput volume forecasting, pipeline capacity planning, storage inventory optimization, tariff and fee revenue modeling, and regulatory-compliant financial reporting.
Crack spread analysis, refinery production planning, finished product demand sensing, distribution network inventory optimization, and margin analysis across the value chain.
Equipment demand forecasting across 100,000+ SKUs, multi-echelon spare parts optimization, rig count-driven demand modeling with leading indicators, and working capital optimization.
Program financial forecasting, MRO demand & spares, milestone-governed budget. SOX / DFARS.
Multi-echelon inventory, production scheduling, S&OP/IBP execution, demand sensing.
Stress testing, covenant monitoring, Basel III / DFAST / SOX compliance, 131-ratio analysis.
Cold-chain inventory, supply resilience, demand forecasting for devices and pharma.
Your transactional systems of record stay. The planning, forecasting, inventory, FP&A, risk and working-capital stack on top — that’s where Neusig consolidates.
“Zero Integration” means: Neusig reads from your existing data layer. No 12-month ERP integration project. No middleware. No ETL army.
What a global enterprise typically pays today for the equivalent capability stack — before implementation.
| Software category (industry-standard) | Annual subscription range* | Implementation |
|---|---|---|
| S&OP / IBP platforms | High six- to low seven-figures | 6–18 months |
| Demand Forecasting & Planning platforms | Mid six- to high six-figures | 3–9 months |
| Inventory Optimization platforms (MEIO) | Mid six- to high six-figures | 3–9 months |
| FP&A / Budget / CPM platforms | Mid six- to seven-figures | 4–12 months |
| Risk Stress-Testing platforms | Low to mid six-figures | 3–9 months |
| Working Capital + Executive Narratives | Low to mid six-figures | Ongoing |
| Multi-platform stack subtotal (typical global enterprise) | Low seven- to mid seven-figures / year | + 1.5×–3× in services |
| Neusig — single Enterprise subscription (all of the above, integrated) | Single annual subscription | 2–4 weeks |
* Ranges reflect indicative public-domain pricing for global enterprise deployments, based on publicly reported deployments and industry-analyst surveys (Gartner, IDC). Categories are descriptive of standard industry software classifications and do not refer to, or compare against, any specific vendor or product. Implementation ranges reflect typical systems-integrator estimates for category. Subscription pricing for any specific platform is set by its vendor.
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