AI for Operations & Supply Chain
A ~36-minute playbook for COOs and supply chain leaders. 6 plays, 3 anti-plays, the AI+OR principle, the data-stable filter, and 4 trust trip-wires. Voice: Andrew.
8
Chapters
~36 min
Duration
Intermediate
Level
No
Certification
Who this is for
For COOs, Chief Supply Chain Officers, VPs of operations, plant-and-network leaders, and demand planning + procurement + logistics + maintenance heads.
How this course works
- 8 audio-narrated slide chapters · ~36 min of focused content
- Narrated by Andrew (Azure neural voice)
- Capstone with interactive Markdown builder you take to your team
- Trust trip-wires on every play — what not to cross
- Free verifiable certificate on completion
What you'll walk out with
Specific outcomes from this course — no fluff.
- 6 operations AI plays that consistently produce measurable savings — forecasting, procurement docs, logistics, predictive maintenance, inventory, supplier risk
- 3 pitches that consistently disappoint — named explicitly so the budget redirects
- The data-stable filter that decides which plays to start with in your specific operation
- The two-layer demand forecasting model — what beats the median MAPE trap
- The 3-tier procurement human-in-the-loop with audit posture
- The AI-amplifying-OR framing for logistics — where AI augments operational research, not replaces it
- The dynamic safety stock approach that solves stock-outs and overstock together
- A 2-quarter roadmap with operational KPIs (procurement capacity, service level, working capital) — not AI metrics
Course content
8 chapters · ~36 min
Welcome
A 1-minute orientation — what the course covers, how to navigate, and what you walk out with. No audio on this screen.
The ops + supply chain AI landscape
6 plays · 3 anti-plays · the data-stable filter (data ready + process stable) that sequences your roadmap.
Demand forecasting at scale
The MAPE trap · FVA discipline · hierarchical reality · 3 architectures (GBM · hybrid · DL) · 3-question honest scoring.
Procurement automation
3 use cases (doc AI · supplier matching · contract intelligence) · 3-tier human-in-loop · audit + compliance posture.
Logistics optimization
The AI+OR principle (AI improves inputs · OR does optimisation) · 3 use cases · 3 failure modes · dispatcher reality check.
Predictive maintenance
Sensor + narrative pattern · 3 components · the safety constraint (AI never eliminates human inspection on high-consequence equipment).
Inventory intelligence
Dynamic safety stock · 3 use cases (safety stock · allocation · markdown) · 3 failure modes · 3-question honest scoring.
Supplier risk monitoring
4 risk dimensions (geo · climate · cyber · financial) · 5 signal sources · 4-phase response cadence · top-supplier contingency.
Making it stick: your ops AI roadmap
End-to-end visibility reality · 18-month rollout · 4 trust trip-wires · interactive Markdown builder for your COO + CSCO.
Want this delivered inside your organisation?
The course is the starting point. The same content powers a 4-week pilot, an org-wide rollout, or a continuous build engagement — set up on your data, with your team, by Gennoor Tech.