Capability · Data & decision

See earlier. Decide better.Act faster.

Unify useful events, qualify their freshness and turn every signal into a decision, action and proof—at the actual pace of your operations.

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A capability shaped by your flows, rules and field evidence.

TransportActive scenario01SignalETA and congestion put a priority delivery at risk.02DecisionCompare waiting, resequencing, transfer or customer information according to impact.03ProofSelected option, owner, revised ETA and impacted customer.04Active systemTMS05Active systemTracking

01 / 05Handle a delay before the promise breaks

WarehouseActive scenario01SignalRemaining workload, resource availability and cut-off time diverge.02DecisionRebalance priorities, areas or resources according to promised service.03ProofChanged plan, affected orders and wave outcome visible.04Active systemWMS05Active systemLabour

02 / 05React to capacity drift before the wave

IndustryActive scenario01SignalCycle, scrap or downtime deviates from the route and agreed threshold.02DecisionQualify material, machine, setting, team or quality before resuming.03ProofCause, action, batch and restart conditions connected.04Active systemMES05Active systemERP

03 / 05Explain yield loss while it is actionable

CommerceActive scenario01SignalDemand, reservations and promiseable stock create a local shortage.02DecisionArbitrate transfer, allocation, substitution or a new promise according to rules.03ProofDecision, quantity, site and affected customers recorded.04Active systemOMS05Active systemERP

04 / 05Correct a network shortage before it changes the promise

SustainabilityActive scenario01SignalEnergy consumption deviates from the expected level for the output produced.02DecisionDistinguish workload, downtime, equipment drift or operating rule.03ProofContextualised gap, action and comparison period retained.04Active systemIoT05Active systemMES

05 / 05Connect consumption, activity and operational cause

TransportWarehouseIndustryCommerceSustainability

End-to-end visibility

Events are connected to the relevant record, site, product and decision.

Consistent decisions

Definitions, rules and priorities remain consistent across cockpit, alert and analysis.

Earlier exception handling

An alert states the gap, impact, owner and action still possible.

Explainable outcomes

Each decision retains the data, assumptions and actions that shaped it.

Decision framework

Connect promise, responsibility and proof.

Real time is not a universal frequency. It is defined by the window in which information can still change a decision, with an explicit source, acceptable age and degraded mode.

Business logic

Decisions start with explicit rules.

01Scattered dataView rebuilt too late02Unknown freshnessDecision based on stale information03Competing definitionsReconciliation meetings04Alerts without workflowNoise and alert fatigue05Analysis without drill-downSlow, contested action

Connected architecture

Clear responsibilities, from signal to proof.

ERP / OMSCarries management contextWMS / TMS / MES / GMAOCarries executionPlateforme dataCarries unificationAnalyticsCarries explanationWorkflow métierCarries action

Gaps to eliminate

What weakens day-to-day decisions.

Each gap connects an observable situation to a business consequence. Diagnosis then verifies frequency, impact and cause.

Scattered data

ERP, WMS, TMS, IoT and files describe the same flow with different keys.

View rebuilt too late

Unknown freshness

A dashboard shows a status without saying when or how it was updated.

Decision based on stale information

Competing definitions

Service, margin, inventory or delay do not mean the same thing across teams.

Reconciliation meetings

Alerts without workflow

The signal informs but specifies no priority, owner or closure.

Noise and alert fatigue

Analysis without drill-down

The aggregate indicator cannot trace records, causes and decisions.

Slow, contested action

Operational journey

A chain of decisions, not a stack of screens.

Each transition identifies the participant, responsible system and expected proof.

Collect

Receive useful events

Each source publishes event, identifier, timestamp, status and minimum context.

Owner: Source systems and integration
Proof: Received, traceable event

Standardise

Align languages

Keys, units, calendars, statuses and master data are normalised without hiding the source.

Owner: Integration and data layer
Proof: Visible checks and rejects

Unify

Build the semantic model

Entities, metrics, hierarchies and calculation rules become shared and versioned.

Owner: Data governance
Proof: Definition, owner and version

Analyse

Detect gap and cause

Indicators, rules, comparisons and events qualify situation, impact and action window.

Owner: Operational analytics
Proof: Gap explainable down to the record

Decide

Orchestrate action

A decision assigns priority, owner, deadline and expected feedback.

Owner: Business workflow
Proof: Action acknowledged and outcome tracked

Decision lab

Change context. Follow what genuinely needs to happen.

These scenarios are illustrative: they show decision logic and responsibilities without claiming to simulate your actual outcomes.

Transport

Handle a delay before the promise breaks

Signal

ETA and congestion put a priority delivery at risk.

Decision

Compare waiting, resequencing, transfer or customer information according to impact.

Expected proof

Selected option, owner, revised ETA and impacted customer.

B‑AGILEdecision flowERP / OMSWMS / TMS / MES / GMAOPlateforme dataAnalyticsWorkflow métier

Responsibility architecture

Unify the flow without pretending one system does everything.

The responsibilities below form a reference architecture to adapt to the existing IT landscape.

ERP / OMS

Carries management context

Owns: Orders, master data, commitments and costs
Publishes: Events and management dimensions

WMS / TMS / MES / GMAO

Carries execution

Owns: Statuses, movements, resources, incidents and proof
Publishes: Timestamped, contextualised events

Plateforme data

Carries unification

Owns: Semantic model, history, quality and lineage
Publishes: Governed data sets

Analytics

Carries explanation

Owns: Indicators, comparisons, thresholds and analyses
Publishes: Gaps, causes and scenarios

Workflow métier

Carries action

Owns: Priority, owner, deadline, decision and closure
Publishes: Action, status and impact

Actionable cockpit

Operational decision cockpit

The cockpit starts with decisions to make: it shows situation, freshness, gap, accessible cause and action—then drills down to the source record.

Signal freshnessKnow whether the decision remains reliable
Actionable exceptionsPrioritise what can still change
Signal-to-decision timeIdentify decision queues
Closed decisionsLearn from decisions actually executed

Operational view · example

Signal freshness01Age and update status by critical source

Actionable exceptions02Gaps still within their decision window

Signal-to-decision time03Time between detection, qualification and arbitration

Closed decisions04Actions with attached proof and outcome

Scattered dataUnknown freshnessCompeting definitions

No value is a customer measurement. Illustrative functional example.

Success conditions

What must be true before automation.

Decision window

Each critical event specifies frequency, acceptable age and enabled action.

Governed definitions

Indicators and statuses have a formula, source, owner, version and quality rules.

Lineage and control

The aggregate view can trace transformation, event and source record.

Feedback workflow

An alert is useful only when action, owner and proof return to the loop.

Related B‑AGILE solutions

Compose the right scope.

A capability may be carried by a full suite, a standalone solution or an existing system. Diagnosis decides.

Suite

Suites EMS

Connect events across logistics, industrial, commercial and agricultural branches.

Explore Solution

ESSOR ERP

Carries master data, commitments, management and financial context.

Explore Solution

CANDOR BI

Structures transport, cost, margin and performance analytics within the confirmed scope.

Explore Capability

EDI, API & intégrations

Publishes events, controls exchange contracts and monitors recovery.

Explore

Go further

Content to prepare a real discussion.

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White paper

Frequently asked questions

Decide with the right boundaries.

Is real time mandatory everywhere?

No. Frequency is chosen by decision, criticality, cost and response capability. Faster data without a possible action does not create value.

Is one data platform required?

Not necessarily. A responsibility model, exchange contracts and shared definitions are required across the selected components.

How is this different from Business Intelligence?

BI structures analysis, history and management. Operational analytics adds freshness, events, the decision window and the action loop. They complement each other.

How are useless alerts avoided?

By connecting each alert to a rule, impact, owner, possible action and closure condition, then reviewing observed noise.

Can existing tools be retained?

Yes, if their role, data, frequency, quality and interface are compatible with the chosen decision flow.

Do the proposed dashboards represent customer data?

No. Visual examples are illustrative. Actual definitions and views are built around your scope and authorised data.

Your context first

Turn every useful signal into traceable action.

Identify the decisions, data, responsibilities and pilot that will deliver observable value.

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