Description
AI for Supply Chain: Forecasting, Optimisation and Flow Management
See where artificial intelligence genuinely changes forecasting, inventory and transport planning
- 1 day — 7 h
- In-person or virtual
- Foundation
- Up to 6 participants
Supply chain functions are constantly offered predictive tools for demand forecasting, inventory optimisation or transport planning. Teams find it difficult to tell what amounts to a conventional statistical improvement from what delivers a genuinely new capability. Projects launched without that clarity most often fail on data quality rather than on the algorithm.
A one-day introduction designed for supply chain practitioners: understand what these tools actually do, identify the use cases that deliver a measurable gain, assess the maturity of the available data and scope a first case. No technical background is required.
Learning objectives
- Describe the main applications of artificial intelligence across the supply chain
- Distinguish a forecasting improvement from a genuinely new capability
- Assess the quality of available data before launching a project
- Select a first use case with high value and limited complexity
- Position the role of business teams in this type of project
What makes this programme different
Programme
1Supply chain applications
Identifying where the gain lies
- Demand forecasting and handling variability
- Inventory and supply planning optimisation
- Transport and route planning
- Anomaly detection and service quality
2Data and conditions for success
Examining the raw material
- Available history and breaks in data series
- Quality of item and supplier master data
- Integration of external data sources
- Common pitfalls in forecasting projects
3Scoping a first use case
Moving from idea to project
- Defining scope and performance indicators
- Role of business teams in the project
- Choosing between a market solution and in-house development
- Change management with planning teams
Who is it for
Supply chain managers, planners, buyers and logistics or transport managers.
Prerequisites
No prerequisites
Dates & locations
36 scheduled dates between November 2026 and December 2027. Seats are confirmed in the order enquiries are received.
November 2026
-
12 November 2026 1 day
Abu Dhabi In-person
-
30 November 2026 1 day
Dubai In-person
-
30 November 2026 1 day
Online Virtual classroom
December 2026
-
14 December 2026 1 day
Abu Dhabi In-person
-
28 December 2026 1 day
Dubai In-person
-
28 December 2026 1 day
Online Virtual classroom
January 2027
-
11 January 2027 1 day
Abu Dhabi In-person
-
25 January 2027 1 day
Dubai In-person
-
25 January 2027 1 day
Online Virtual classroom
February 2027
-
1 February 2027 1 day
Dubai In-person
-
1 February 2027 1 day
Online Virtual classroom
-
3 February 2027 1 day
Abu Dhabi In-person
March 2027
-
22 March 2027 1 day
Abu Dhabi In-person
-
30 March 2027 1 day
Dubai In-person
-
30 March 2027 1 day
Online Virtual classroom
April 2027
-
14 April 2027 1 day
Abu Dhabi In-person
-
29 April 2027 1 day
Dubai In-person
-
29 April 2027 1 day
Online Virtual classroom
May 2027
-
12 May 2027 1 day
Dubai In-person
-
12 May 2027 1 day
Online Virtual classroom
-
31 May 2027 1 day
Abu Dhabi In-person
June 2027
-
15 June 2027 1 day
Abu Dhabi In-person
-
30 June 2027 1 day
Dubai In-person
-
30 June 2027 1 day
Online Virtual classroom
September 2027
-
14 September 2027 1 day
Abu Dhabi In-person
-
29 September 2027 1 day
Dubai In-person
-
29 September 2027 1 day
Online Virtual classroom
October 2027
-
11 October 2027 1 day
Abu Dhabi In-person
-
25 October 2027 1 day
Dubai In-person
-
25 October 2027 1 day
Online Virtual classroom
November 2027
-
11 November 2027 1 day
Abu Dhabi In-person
-
29 November 2027 1 day
Dubai In-person
-
29 November 2027 1 day
Online Virtual classroom
December 2027
-
13 December 2027 1 day
Abu Dhabi In-person
-
27 December 2027 1 day
Dubai In-person
-
27 December 2027 1 day
Online Virtual classroom
None of these dates suit you? We open additional sessions on request, and any programme can be run privately for your team.
Practical details
- Before the programme
- Online positioning questionnaire. Your development objectives are shared with the trainer, who tailors the practical case studies to your context.
- Teaching methods
- Theoretical input, workshops and practical case studies. Digital course materials and method sheets provided.
- Assessment
- Multiple-choice tests and role-play exercises. Assessment of learning at the start and end of the programme, with immediate and 60-day follow-up evaluations.
- After the programme
- One year of access to the e-learning platform. Self-assessment of the skills acquired and a 30-day follow-up session with your trainer.
- How to register
- Registration online or on the basis of a quotation.
- Lead time
- 11 working days after confirmation of registration.
- Accessibility
- Accessible to people of determination. Contact our accessibility coordinator to design a suitable solution: contact@mpf-academy.ae
- Start dates
- Rolling intake: in addition to the scheduled sessions, this programme can start on request.

