AI for Supply Chain & Logistics

AI for Demand Forecasting

Support assumption logs and exception commentary. The forecast number stays in the planning tool. 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: Advanced
Location: Hikma Institute in Al Khobar, client site, or virtual

Prerequisites

A forecast extract and a S&OP or planning meeting to brief.

Practical use cases

Assumption logs
Exception SKUs
S&OP notes
Bias questions

Learning objectives

Log assumptions for a family
Explain an exception SKU
Write an S&OP question

Who it is for

Demand planners who already own a statistical or consensus forecast.

Modules

Assumptions
Exceptions
Bias language
Meeting brief

Practical exercises

Separate promo from baseline in a comment
Reject an invented lift
Write the S&OP question

Tools covered

Named for current capabilities. No vendor partnership is claimed.

Excel
Power BI
ChatGPT
Claude

Final assignment

Submit an S&OP support note with assumptions, exceptions, and no overwritten forecast numbers.

Learning outcomes

An assumption log
Exception comments
An S&OP note

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.

Available for Corporate Training: Request a Proposal Ask about availability