NodeCraft Path

Business analytics that make supply chain visibility measurable — from first-mile signals to last-mile exceptions.

View flagship course
312 learners enrolled across GB cohorts since 2022
7.8 / 10 average usefulness score after six weeks on the job
41 hrs guided practice in the Visibility Analytics track
Analyst reviewing supply chain dashboards at a desk

Flagship programme

Supply Chain Visibility Analytics

Build the models, scorecards, and exception workflows that turn fragmented shipment and inventory data into decisions your planners can trust.

You will map data lineage across partners, design latency-aware KPIs, and practise briefing operations leads with evidence instead of slide theatre.

What changes

Skills that survive messy partner data

  • 01

    Signal mapping before dashboards

    Learn to inventory which events actually move cost or service, then wire analytics around those events rather than every available column.

  • 02

    Latency-aware KPIs

    Separate what must be near-real-time from what can wait overnight, so your visibility stack stays honest under delayed EDI and portal feeds.

  • 03

    Exception storytelling

    Translate variance into a short narrative with owners, next checks, and a clear ask — the skill most visibility projects quietly lack.

From learners

Notes from recent cohorts

The partner latency module forced us to stop treating our 3PL portal as “live”. We rebuilt the SLA board around confirmed milestones and the noise dropped within a fortnight.

Helena M., planning lead — Manchester

I liked the Visibility Lab worksheets more than the lectures. One caveat: if your ERP exports are chaotic, budget an extra week before Module 3 or you will feel behind.

Client in grocery wholesale

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Field notes

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Bring a live visibility problem to the next cohort

Tell us about your data landscape and we will suggest the right seat — course-only or with mentoring hours.