Supply Chain Planning & Optimization Best Practices Training Course
Integrates demand, supply, inventory, production and distribution planning to improve decision quality and create a responsive, cost-efficient supply chain.
5 Days·Classroom
Guides the design and running of an S&OP cycle that aligns demand, supply, inventory, capacity and financial plans into one structured decision process.
Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy
This advanced course provides a practical framework for designing, implementing, and managing an effective Sales & Operations Planning (S&OP) process that aligns demand, supply, inventory, capacity, financial objectives, and business strategy. It focuses on turning cross-functional planning into a structured decision-making process that improves business responsiveness and operational alignment. Participants will examine the core S&OP cycle, including demand review, supply review, pre-S&OP analysis, executive decision-making, scenario evaluation, and performance management. The program emphasizes how to resolve demand-supply gaps and convert planning information into clear business decisions. The course also addresses S&OP governance, roles and responsibilities, data requirements, performance indicators, scenario planning, financial integration, and organizational alignment. Participants will learn how to identify implementation barriers and establish a sustainable S&OP operating model. Through practical exercises, planning scenarios, and implementation workshops, participants will develop the capability to design an S&OP framework, evaluate alternative scenarios, establish decision rights, and build an implementation roadmap aligned with organizational priorities.
Course Outline:
Selected date
Amsterdam · 17 – 21 May 2027 · Classroom
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| City | Dates | Price per Participant | Early Bird | |
|---|---|---|---|---|
ViennaScheduled | 2 – 6 Nov 2026 | €5,700 | — | |
AmmanScheduled | 8 – 12 Nov 2026 | €3,100 | — | |
AmsterdamScheduled | 16 – 20 Nov 2026 | €5,400 | — | |
BakuScheduled | 23 – 27 Nov 2026 | €4,800 | — | |
BangkokScheduled | 30 Nov – 4 Dec 2026 | €6,100 | €5,490until 9 Nov | |
BarcelonaScheduled | 7 – 11 Dec 2026 | €5,400 | €4,860until 16 Nov | |
BerlinScheduled | 7 – 11 Dec 2026 | €5,800 | €5,220until 16 Nov | |
CairoScheduled | 14 – 18 Dec 2026 | €3,300 | €2,970until 23 Nov | |
CasablancaScheduled | 21 – 25 Dec 2026 | €4,300 | €3,870until 30 Nov | |
DammamScheduled | 28 Dec 2026 – 1 Jan 2027 | €4,200 | €3,780until 7 Dec | |
DohaScheduled | 4 – 8 Jan 2027 | €4,400 | €3,960until 14 Dec | |
DubaiScheduled | 10 – 14 Jan 2027 | €4,400 | €3,960until 21 Dec | |
IstanbulScheduled | 18 – 22 Jan 2027 | €4,700 | €4,230until 28 Dec | |
Kuala LumpurScheduled | 25 – 29 Jan 2027 | €4,400 | €3,960until 4 Jan | |
LisbonScheduled | 25 – 29 Jan 2027 | €5,400 | €4,860until 4 Jan | |
LondonScheduled | 1 – 5 Feb 2027 | €5,600 | €5,040until 11 Jan | |
MadinahScheduled | 8 – 12 Feb 2027 | €4,200 | €3,780until 18 Jan | |
MadridScheduled | 15 – 19 Feb 2027 | €5,400 | €4,860until 25 Jan | |
MakkahScheduled | 22 – 26 Feb 2027 | €4,200 | €3,780until 1 Feb | |
ManamaScheduled | 1 – 5 Mar 2027 | €4,700 | €4,230until 8 Feb | |
MarrakeshScheduled | 8 – 12 Mar 2027 | €4,300 | €3,870until 15 Feb | |
MilanScheduled | 8 – 12 Mar 2027 | €6,000 | €5,400until 15 Feb | |
MunichScheduled | 15 – 19 Mar 2027 | €5,400 | €4,860until 22 Feb | |
MuscatScheduled | 22 – 26 Mar 2027 | €5,300 | €4,770until 1 Mar | |
OnlineScheduled | 28 Mar – 1 Apr 2027 | €1,700 | €1,530until 8 Mar | |
ParisScheduled | 5 – 9 Apr 2027 | €5,700 | €5,130until 15 Mar | |
RiyadhScheduled | 12 – 16 Apr 2027 | €4,200 | €3,780until 22 Mar | |
RomeScheduled | 19 – 23 Apr 2027 | €5,800 | €5,220until 29 Mar | |
SalalahScheduled | 26 – 30 Apr 2027 | €5,300 | €4,770until 5 Apr | |
TunisiaScheduled | 26 – 30 Apr 2027 | €3,800 | €3,420until 5 Apr | |
AmsterdamScheduled | 17 – 21 May 2027 | €5,400 | €4,860until 26 Apr |
Available in: Istanbul · Dubai · London · Riyadh · Doha · Amsterdam
Integrates demand, supply, inventory, production and distribution planning to improve decision quality and create a responsive, cost-efficient supply chain.
5 Days·Classroom
Shows how to turn historical data and market signals into reliable demand forecasts using quantitative and qualitative techniques and accuracy measures.
5 Days·Classroom
Applies statistical analysis and advanced forecasting to complex demand patterns, diagnosing forecast error and bias to make planning decisions more reliable.
5 Days·Classroom
Speak with our advisors about upcoming programmes or a bespoke corporate training plan.