Observe & explain
Explore governed metrics, trends, anomalies, driver attribution, and causal relationships with drill-through to the available evidence.
POWERED BY ANALYTICS OS™
BANZOS Network Intelligence
Intelligence in every workflow.
Perspective across the network.
Understand what happened, explain why, anticipate what comes next, and compare the best response. Analytics OS is embedded throughout BANZOS, bringing enterprise and supply-chain intelligence into the same decision.
Network IntelligencePowered by Analytics OS™
DESIGNED FORExecutives, analysts, planners, and every BANZOS operating team
Two environments. One connected intelligence foundation.
Enterprise Analytics OS connects business outcomes, financial consequences, analytical studios, and governance. Supply Chain Intelligence OS adds domain depth across suppliers, factories, products, procurement, logistics, risk, and trade. Both share one knowledge graph, one Sophia, and the same models, digital twins, decision memory, and learning loop.
- Connect enterprise outcomes to operational causes
- Make decisions with alternatives and confidence
- Turn verified outcomes into better future decisions
EXPLORE THE CAPABILITIES
The depth behind
the decision.
Designed to connect the working context, supporting evidence, and next action.
Forecast & anticipate
Evaluate probabilistic demand, supplier performance, capacity gaps, lead-time movement, shortage, and disruption exposure.
Simulate & optimize
Compare digital-twin scenarios and feasible alternatives across cost, capacity, quality, trade, service, and working capital.
Quantify the consequence
Translate operating decisions into landed cost, total cost of ownership, margin, cash, revenue exposure, and realized value.
Decide with evidence
Preserve alternatives, constraints, confidence, assumptions, expected impact, and approval requirements in a persistent Decision Object.
Verify & learn
Compare predicted and actual outcomes, record overrides, improve models and playbooks, and retain institutional decision memory.
Sophia in context
Use a shared conversational intelligence interface to frame questions, explore drivers, build scenarios, and prepare governed decisions.
Permissioned network insight
Use authorized demand, capacity, pricing, lead-time, and performance signals while respecting tenant boundaries and contractual data-use rights.
THE DUAL-ENVIRONMENT ARCHITECTURE
Enterprise perspective.
Supply-chain depth.
Every supply-chain domain inherits the same analytical engines and experiences. The enterprise view explains business outcomes; the domain view explains the operating causes.
Enterprise Analytics OS
The analytical perspective across your business.
- Executive, financial, causal, and predictive intelligence
- Scenario studios, optimization, and digital twins
- Sophia, decision management, and model governance
Supply Chain Intelligence OS
The operational depth behind each decision.
- Suppliers, factories, products, sourcing, and procurement
- Planning, inventory, logistics, risk, and trade
- Quality, sustainability, customers, and network readiness
SHARED ANALYTICAL VIEWSCanvasTableMapCompare
20 CONNECTED INTELLIGENCE DOMAINS
Intelligence across the whole operating network.
A common analytical foundation connects the questions your teams ask every day.
Planning & inventory
Demand & ForecastInventory & Working CapitalCapacity & Network ReadinessSupplier & sourcing
Supplier IntelligenceSourcing IntelligenceProcurement & SpendProduct & manufacturing
Factory & ManufacturingEngineering & PartsProduct DNA & BOMQuality & Product AssuranceRisk & global trade
Supply Risk & DisruptionTrade, Tariff & OriginCustoms & BorderSustainability & Responsible SourcingLogistics & fulfillment
Transportation & LogisticsWarehouse & FulfillmentCommercial & customer
Financial & CommercialCustomer & ServiceNetwork intelligence
Network OptimizationSupply Network Digital TwinONE CONSISTENT DECISION LIFECYCLE
From an important question
to a verified outcome.
01Overview+
Orient the decision
See business health, commitments, risks, opportunities, and the questions that deserve attention.
02Observe+
Understand the current state
Explore metrics, events, trends, exceptions, and data quality in the context of the selected domain.
03Explain+
Trace what is driving the result
Follow relationships, contributing factors, and evidence to understand the operating and financial drivers.
04Predict & Simulate+
Compare what could happen next
Use forecasts, uncertainty, digital twins, and constrained scenarios to evaluate possible future states.
05Decide & Act+
Prepare the best feasible response
Compare alternatives, constraints, confidence, expected impact, and approval requirements before execution.
06Govern & Learn+
Know what actually happened
Track model and agent behavior, approvals, execution, realized outcomes, and lessons for the next decision.
THE DECISION OBJECT
The answer becomes
institutional memory.
Each material recommendation is designed to retain its question, evidence, assumptions, alternatives, confidence, constraints, approvals, execution, and outcome.
That shared decision record connects analytics to governance and continuous improvement.
DECISION MEMORY Persistent context
- Context & evidenceThe question, affected entities, sources, and model versions.
- Alternatives & expected valueFeasible options, constraints, confidence, and predicted impact.
- Approval & executionPolicy, accountable owners, and the authorized workflow.
- Outcome & learningActual results, realized value, overrides, and lessons.
EXPLORE AN ILLUSTRATIVE EXPERIENCE
See the numbers in context.
Explore the interactive sample dashboard for a first view of embedded supply-chain analytics.
A CONNECTED WORKFLOW
Move forward with the context intact.
Observe & explain
Understand signals and trace their business drivers.
Predict & simulate
Explore uncertainty, future states, and feasible alternatives.
Decide & act
Choose within policy and route the required approvals.
Govern & learn
Verify execution and measure what actually changed.
INTELLIGENCE BUILT IN
Shared intelligence. Native to BANZOS.
Analytics OS is the native analytical foundation of BANZOS. It is available within supplier, factory, product, sourcing, procurement, trade, and network views. The broader Analytics OS platform also remains independently available through MEGAMODAL.
AN ILLUSTRATIVE USE CASE
Why did margin decline—and what can we change?
Sophia is designed to connect an enterprise margin change to supplier prices, material inflation, factory constraints, expedited freight, tariffs, and lost shipments. The team can compare recovery scenarios and preserve an approved decision with an expected financial outcome.
A CLOSER LOOK
Your questions,
connected to the answer.
Is Analytics OS a separate application inside BANZOS?
No. BANZOS consumes Analytics OS natively. The intelligence is designed to appear within the relevant supplier, factory, product, sourcing, procurement, trade, and network workflow.
What are the two intelligence environments?
Enterprise Analytics OS supplies horizontal analytical experiences and engines. Supply Chain Intelligence OS supplies operational domain depth. Neither replaces the other; they share the same foundation.
Does embedded intelligence mean shared customer data?
No. Shared analytical services do not imply unrestricted data pooling. Tenant isolation, explicit use rights, provenance, and permissioned or aggregated network signals govern access.
Can Analytics OS still be purchased independently?
Yes. The architecture preserves Analytics OS as a MEGAMODAL commercialization path while embedding its intelligence within BANZOS and other operating environments.
CONNECTED ACROSS BANZOS
Keep exploring the network.
BUILD YOUR INTELLIGENT NETWORK
Connect your next decision.
Bring your sourcing, supplier, manufacturing, and network priorities. Let’s map the right BANZOS starting point.