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How we work / Step 5 of 8

Predict.

Predictive analytics and decision intelligence. Connected data and AI that identify change earlier.

Why it matters now

Earlier signals, better decisions

Organisations that forecast well hold less stock, lose fewer sales and act sooner. AI-driven forecasting has been shown to cut errors substantially, yet most businesses still plan from history.

20% to 50%

Reduction in forecast errors from AI-driven forecasting in supply chain management.

McKinsey, AI-driven operations forecasting
Up to 65%

Fewer lost sales and less product unavailability as a result.

McKinsey, AI-driven operations forecasting
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

What we deliver

Predictive analytics and decision intelligence: the services within this step.

Demand and supply forecasting

Better forecasts for production, inventory and cash.

Predictive maintenance

Condition-based intervention that prevents equipment failure.

MARCO decision intelligence

Structured regimes and scenarios for executive decisions.

Scenario planning

Base, upside and downside cases linked to real decisions.

Data and predictive intelligence

Turning operational information into forecasting, optimisation and decision support.

AI governance and risk

Building the controls required to deploy AI responsibly in real operating environments.

Who this is for

Chief executives and finance directorsOperations and maintenance leadersSupply chain and planning teamsInvestment committees

Evidence from the market

Published results from other organisations. Not North Axiom results.

85% to 95%

delivery reliability at Tüpraş, with forecasting labour productivity up 48%.

World Economic Forum, Global Lighthouse Network 2025
-30%

stock-outs at Yunnan Baiyao, with inventory days down 38%.

World Economic Forum, Global Lighthouse Network 2025
Up to 50%

less unplanned downtime from predictive maintenance, with maintenance costs down 18 to 25%.

McKinsey (2020), cited by IIoT World

Fill in: check each figure against its source before launch

Delivered by

The North Axiom capabilities behind this service.

Discuss Predict with North Axiom

Share your current position and objectives, and we will set out how North Axiom can support them.