Virtual Training Data Science, AI, and Advanced Analytics

Data Analytics for Inventory Management and Demand Forecasting Online Course

Join our virtual, live instructor-led session and master Data Analytics for Inventory Management and Demand Forecasting from anywhere in the world.

5 Days Duration
Live Online Delivery
7 Dates Available
Certificate Included
Master data analytics for inventory management and demand forecasting to optimize stock levels, reduce carrying costs, and improve service levels through predictive modeling.

Upcoming Virtual Training Schedules

Join from anywhere in the world with our live instructor-led sessions

Code Start Date End Date Duration Fee
DIMD-34 Mon - Fri (5 Days) USD 850 Reserve my seat → Register my team →
DIMD-34 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
DIMD-34 Weekend (8 Weeks) USD 1,700 Reserve my seat → Register my team →
DIMD-34 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
DIMD-34 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
DIMD-34 Weekend (8 Weeks) USD 1,700 Reserve my seat → Register my team →
DIMD-34 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Register my team →
Training Date
to
5 Days
USD 850
DIMD-34
Training Date
to
10 Days
USD 1,700
DIMD-34
Training Date
to
8 Weeks
USD 1,700
DIMD-34
Training Date
to
10 Days
USD 1,700
DIMD-34
Training Date
to
10 Days
USD 1,700
DIMD-34
Training Date
to
8 Weeks
USD 1,700
DIMD-34
Training Date
to
10 Days
USD 1,700
DIMD-34

Here's What You'll Learn

Each module tackles real challenges you face in your role

1

Inventory Data Foundations and Preparation

2

Inventory Segmentation and Classification Models

3

Statistical Demand Forecasting Fundamentals

4

Advanced Seasonal and Trend Forecasting

5

Forecast Accuracy and Performance Measurement

6

Inventory Optimization and EOQ Modeling

7

Safety Stock and Service Level Strategy

8

Replenishment Systems and Reorder Logic

9

AI and Digital Transformation in Inventory

10

Strategic Integration and Executive Reporting

Market-specific guidance for Cyprus

A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.

Tools and platforms relevant to this field

3

Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.

  • SAP S/4HANA SAP
    Used for inventory visibility, procurement planning, and demand-linked replenishment in ERP-driven supply chain operations.
  • Microsoft Power BI Microsoft
    Used to build KPI dashboards for stock turns, service levels, forecast accuracy, and exception reporting.
  • Microsoft Excel Microsoft
    Used for ABC analysis, demand history cleansing, what-if scenarios, and quick inventory models when teams need lightweight analysis.

Where this course runs

Data Analytics for Inventory Management and Demand Forecasting is delivered in the cities below — pick the one that fits your schedule.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

Trusted by 100+ organizations across 40+ countries

Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University
Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University