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MARCO.

North Axiom’s proprietary decision-intelligence system. Public data in, structured regimes and scenarios out, with the methods kept private.

Why it matters now

Why MARCO exists

Executives rarely lack data. They lack a coherent view of fragmented and conflicting signals, and a way to hold uncertainty without pretending it has gone.

20% to 50%

Reduction in forecast errors from AI-driven forecasting.

McKinsey, AI-driven operations forecasting
23%

Of supply chain organisations have a formal AI strategy.

Gartner supply chain surveys, via Svitla
55%

Of chief supply chain officers are unclear on the return from their AI investment.

Gartner supply chain surveys, via Svitla

Fill in: check the figures from Gartner supply chain surveys, via Svitla against the original before launch

Global operating context

A preview of the public MARCO display.

MARCO / Global operating contextSample values only. Never show as live
Growth57 / 100↘ weakening
Inflation64 / 100→ persistent
Liquidity43 / 100↗ improving
Risk61 / 100↗ elevated
Industrial momentum52 / 100→ neutral
Current regime
Slower growth / persistent inflation
Confidence
Confidence 74%
What changed?
Rates Energy Surveys Credit Employment
Scenario range, next horizon
Base51%
Upside21%
Downside28%
Public-data demonstration. Not investment advice.

Four regimes, not one forecast

MARCO places the current environment on a growth and inflation grid.

Lower inflation
Higher inflation
High growth
Expansion
Overheat
Low growth
Slowdown
Stress

What MARCO shows

Public outputs only. Methods, weights and rules stay private.

ModulePublic output
GrowthNormalised state from 0 to 100, with direction
InflationState, accelerating or decelerating
LiquidityState and change
RiskComposite state and contributing domains
Industrial demandDirection and range
Commodity contextTrend and regime
Scenario engineNamed scenarios and probability bands
ConfidenceHigh, medium or low, or an interval
What changedThe top categories driving the change
Data provenanceSources, dates and freshness, fully transparent

How MARCO is built

From official data to a human decision. Private models stay protected.

Official or licensed data Ingestion and validation Provenance and timestamp Normalisation Regime and scenario layer Confidence and uncertainty Decision context Human decision

Private models, weights, thresholds and methods feed the regime layer but are never exposed.

What MARCO will never do

A clear boundary between decision intelligence and investment advice.

  • Public security recommendations
  • Target prices
  • Guaranteed forecasts
  • Personalised portfolio allocations
  • Buy, sell or hold signals
  • Claims that MARCO predicted an outcome, unless independently validated

Every figure shows where it came from

A provenance box accompanies every MARCO chart.

SourceOfficial or licensed source name
ObservationDate observed
Last retrievedDate and time, UK time
FrequencyDaily, weekly, monthly or quarterly
TransformationNormalised, indexed, change rate or model-derived
Revision statusPreliminary, revised or final
MARCO statusObserved, derived or scenario
DisclaimerDecision support only

Before MARCO is shown publicly

None of these may be published until documented. Do not publish sample or synthetic performance figures.

  • Fill in: Data sources and licencesWhich feeds, and whether you may display them
  • Fill in: Refresh scheduleHow often values update
  • Fill in: Methodology summaryA public description of the approach
  • Fill in: ValidationHow accuracy has been tested
  • Fill in: Back-testing periodDates covered
  • Fill in: Commercial useAny client use to date

Decide with context

See how MARCO can support your executive decisions.