The most accurate answer, delivered fastest — for manufacturing's hardest questions.
Supply Chain AI that builds and optimizes a supply chain digital twin for manufacturing.
Imagine booking flights, hotels, and rental cars separately — and something changes and you have to scrap the entire plan.
That's exactly how factory production planning works today.
LP, PP, CRP, FP, FS, MRP, and Finance — each built separately. Change one, redo them all. Scenario analysis takes 4+ hours.
7 plans that don't talk to each other. Can't answer the key question: "How much profit does this plan generate?"
A single material lead-time change can flip profit to loss. Legacy systems only reveal the crisis after it hits.
Just like navigation sees every road to find the optimal route,
WARP unifies your entire enterprise flow into one model to find the best answer.
Draw your plant as a graph. The engine does the rest.
You draw it, the math writes itself.
Edit the process network topology and the simulation equations (ODEs) generate automatically — no formulas, no code.
One graph for footwear, chemicals, and pharma — zero code to onboard a new industry, mass-balance error 2.1e-16
It finds the problem — and fixes it.
Automatically diagnoses the true bottleneck (capacity, material, resource) and optimizes equipment and policy to target it.
Diagnosis to prescription, one closed-loop
Speed is the means; accuracy is the goal.
34×/8× faster through symbolic acceleration, with plan quality fully intact. Not a fast answer — the accurate answer, delivered fast.
We never escape into approximation for the sake of speed
Double-click to drill Factory → Line → process — one graph engine across industries
From forecast to consensus, execution, and crisis response — the standard capabilities every SCM operation needs.
Top-down, middle-out, bottom-up — in one view.
Move freely across disaggregation modes and lock plans down to the cell level with RBAC-based control. Modern demand management, forecasting, and planning, built in.
Human judgment, built into the system.
BPM (Business Process Management) embeds review and approval checkpoints (human-in-the-loop) into the process, with a standard S&OP cycle out of the box. Supporting the decisions AI can't replace.
A countermeasure before the crisis hits.
When import material costs, exchange rates, and energy prices move at once, WARP simulates the risk ahead of time and proposes the best actionable response.
"If raw material is cut for 4 weeks, how much do we lose — and what should we do?"
What took months of consulting, WARP answers with scenarios that reveal the worst case and optimization that finds the best response.
What-if analysis, quantified in seconds
Run dozens of scenarios at once — demand surges, cutbacks, compound crises — and see the best case, worst case, and profit range at a glance. Instead of learning when risk strikes, you see it in numbers beforehand.
It searches for the profit-maximizing setup itself
PSO and surrogate models automatically explore countless combinations of line count, capacity, and policy to find the setup that maximizes profit. The manual tuning that took people days, the engine does in minutes.
| Scenario | Profit Impact | Implication |
|---|---|---|
| Normal Operations | Baseline | — |
| Material Lead Time 2× | Loss | One variable flips profit to loss |
| Demand Surge +30% | +9% | Revenue↑ but delivery rate↓ |
| Compound Crisis | Critical | 2-3 variables deteriorating simultaneously |
* Based on real factory simulation (30 models, 50 lines, 26 weeks)
Manufacturing spans discrete and process production. WARP optimizes both.
Continuous reactors, catalyst lifecycle, yield & purity control, IC chain costing
Thousands of parts, multi-level BOM assembly, JIT supply chain, global production network
Short product lifecycles, high-mix low-volume, semiconductor lead-time risk
Continuous smelting/rolling, raw material mix optimization, energy cost management
OEM high-mix low-volume, seasonal demand swings, global sourcing & delivery
Global OEM, multi-level BOM assembly, batch production, MRP II material & capacity
GMP batch production, QA hold & shelf-life management, changeover time, complexity-tiered scheduling
Large construction projects — WBS/CPM scheduling, resource & labor allocation optimization, EVM tracking, probabilistic risk analysis
LNG carriers·offshore platforms, CPM·PERT·EVM integrated, resource allocation optimization, delivery date risk management
One powerful engine. The ultimate innovation for manufacturing.
No complex implementation. Prove value fast.
2 Hours
Analyze WARP's core capabilities and your supply chain challenges together.
2 Days
Build a simulation model with your actual data and validate initial results.
2 Weeks
Apply WARP to key production lines and measure real improvement impact.
1 Week
Deliver validation results and decide on enterprise-wide rollout.
From data diagnostic to PoC completion in 4 weeks max. Start with parallel operation — no system replacement needed.
Traditional solutions take months to implement. WARP's proprietary automation pipeline builds a simulation environment in hours, not months.
A 15-minute online survey to assess your ERP system, database, product structure, and key challenges before engagement.
Connect to your database and WARP automatically scans table structures, columns, and relationships — auto-mapping to 7 core entities in under 10 seconds.
Automatically detects your industry type and infers 16 simulation parameters from your data — demand patterns, lead times, cost structures, all learned automatically.
One-click builds your simulation environment: data ETL, engine configuration, and 6-step sanity validation. Connect a database or just provide Excel files — simulation-ready instantly.
Competitors: 3–6 months → WARP Plug & Play: Hours
Provide a DB connection or 3–4 Excel files, and see simulation results the same day.
In a 30-minute demo, see simulation results with your own data.
Request Demo