AI for Supply Chain & Logistics

AI for Inventory Management
Comment ageing and exception lists from the WMS or ERP extract. Reorder parameters stay in that system. Available for corporate training after a proposal. This is not a published open course with a public date or price. Participants remain responsible for checking AI outputs before they are used in the organisation.
- Duration
- Confirmed in the proposal
- Delivery
- In-person · virtual · at your site
- Level
- Practitioner
- Location
- Hikma Institute in Al Khobar, client site, or virtual
Prerequisites
An anonymised stock extract.
Practical use cases
- Ageing comments
- Slow-mover questions
- Count exceptions
- Reorder notes
Learning objectives
- Explain an ageing bucket
- Write a slow-mover question
- Keep min/max changes for the planner
Who it is for
Inventory controllers who review stock, ageing, and reorder questions.
Modules
- Extract quality
- Ageing language
- Exceptions
- Parameter ownership
Practical exercises
- Comment a 90-day bucket
- Find a negative stock line to investigate
- Write a planner question, not a new min/max
Tools covered
Named for current capabilities. No vendor partnership is claimed.
- Excel
- Power BI
- ChatGPT
- Claude
Final assignment
Submit an inventory comment pack with investigation questions and no system-parameter writes.
Learning outcomes
- An ageing note
- A slow-mover list
- Planner questions
Certificate and assessment
Hikma issues a certificate of completion for training it delivers. Where an independent professional credential is named, the awarding body issues it after its own eligibility rules and examination. An external exam fee is not included unless the enrolment confirmation says so. Assessment is against the session objectives.
Hikma certificate of completion. It is not an external software-vendor or professional-body credential.
Booking and price
Available for corporate training: request a proposal. This page does not publish a price or date.
Related programs
From the Knowledge Centre
/programs/ai-for-inventory-management