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Description

Supply Chain and AI: Forecasting Demand, Managing Inventory and Flows

One day to make demand forecasts, inventory and transport more reliable using methods your teams can understand

  • 1 day — 7 h
  • In-person or virtual
  • Expert
  • Up to 6 participants

Forecasting still sits in a spreadsheet fed by history and corrected by hand. Stock-outs and excess inventory coexist, plans change every week and alerts arrive too late to avoid an urgent shipment. The data exists but remains scattered across orders, inventory, suppliers and transport.

This 7-hour programme connects that data to operational decisions. Participants identify the approaches suited to demand forecasting, inventory management and planning, examine the conditions under which they remain reliable, then define the alerts and trade-offs that stay the responsibility of the teams.

Learning objectives

  • Position the contribution of AI to forecasting, inventory and transport
  • Assess the quality of the data available to feed a model
  • Select a forecasting approach suited to a given demand profile
  • Define alerts that operational teams can act upon
  • Frame the decisions that remain the planner's responsibility

What makes this programme different

A diagnostic review of your own forecasting data carried out during the session
A selection grid matching the forecasting approach to the observed demand profile
A set of alerts defined with their trigger and their recipient

Programme

1Data and demand forecasting

Quality before the model

  • Data sources: sales, orders, promotions and events
  • Cleaning historical data and handling past stock-outs
  • Stable, erratic and seasonal demand profiles
  • Selecting a forecasting approach suited to the profile
  • Measuring forecast error and interpreting variances

2Inventory and replenishment

Deciding under uncertainty

  • Stock cover and the trade-off between service level and working capital
  • Detecting stock-out risks and excess inventory
  • Setting replenishment rules and parameters
  • Factoring in lead times and supplier reliability
  • Alerts sent to replenishment officers

3Transport planning and performance steering

From plan to execution

  • Optimising routes and load building
  • Anticipating disruptions and building fallback scenarios
  • Operational performance indicators
  • Sharing forecasts with suppliers and customers
  • Dividing decisions between the tool and the planner

Who is it for

Supply chain managers, planners, buyers and replenishment officers, logistics managers and operations directors.

Prerequisites

Working in a supply chain or planning role.

Dates & locations

36 scheduled dates between November 2026 and December 2027. Seats are confirmed in the order enquiries are received.

November 2026

December 2026

January 2027

February 2027

March 2027

April 2027

May 2027

June 2027

September 2027

October 2027

November 2027

December 2027

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.