Data Science, AI, and Advanced Analytics Taiwan, Province of China

Supply Chain and Logistics Analytics Training Course

Supply Chain and Logistics Analytics is the systematic application of quantitative methods and data-driven modeling to optimize end-to-end logistics operations. It involves leveraging predictive algorithms and prescriptive frameworks to improve service levels while minimizing total landed costs. Professionals use it to transform fragmented data into strategic assets that drive competitive advantage across global value chains. Do you know your true cost-to-serve for every SKU in your portfolio? Most organizations struggle to bridge the gap between raw data and actionable intelligence, often relying on legacy spreadsheets that cannot keep pace with modern volatility. Within this program, you will master the SCOR Model and ISO 28000 principles to build a resilient, data-first operation. You will address modern pressures like AI-driven demand sensing and automated warehouse optimization to ensure your career remains at the forefront of the digital transformation.

This course serves as the definitive bridge from descriptive reporting to prescriptive action. Can you demonstrate the financial impact of a 5% reduction in safety stock when your leadership team asks for budget justifications? By focusing on practical outputs like demand forecasts, network design maps, and supplier risk scorecards, you will develop the technical authority required to lead complex operations. This training is specifically designed for Logistics Data Analysts, Supply Chain Managers, and Operations Planners who must deliver measurable results in high-stakes environments. You will move beyond theory to implement real-world solutions using advanced analytics tools and industry-standard methodologies.

Duration
10 Days
Duration
Certificate
Certificate
Included
Delivery
Instructor-Led
Delivery
Level
Intermediate
Level
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Live Online Training

Join from anywhere with interactive virtual sessions

Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Weekend (8 Wks)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700
Starts
Ends
Weekend (8 Wks)
USD 1,700
Starts
Ends
Mon - Fri (10 Days)
USD 1,700

Classroom Training

In-person sessions at premier locations

Nairobi Kenya
Mon - Fri
10 Days
USD 3,200
Kigali Rwanda
Mon - Fri
10 Days
USD 3,800
Dubai United Arab Emirates (UAE)
Mon - Fri
10 Days
USD 8,200
Zanzibar Tanzania
Mon - Fri
10 Days
USD 4,800
Customized Content
Team Training
Flexible Dates

In-person training at our premier venues — pick a city and date that works for you.

Location Duration Fee Language
Nairobi, Kenya Mon - Fri (10 Days) USD 3,200 English See dates & reserve →
Kigali, Rwanda Mon - Fri (10 Days) USD 3,800 English See dates & reserve →
Dubai, United Arab Emirates (UAE) Mon - Fri (10 Days) USD 8,200 English See dates & reserve →
Zanzibar, Tanzania Mon - Fri (10 Days) USD 4,800 English See dates & reserve →
Abuja, Nigeria Mon - Fri (10 Days) USD 5,600 English See dates & reserve →
Addis Ababa, Ethiopia Mon - Fri (10 Days) USD 4,900 English See dates & reserve →
Mombasa, Kenya Mon - Fri (10 Days) USD 3,400 English See dates & reserve →
Cape Town, South Africa Mon - Fri (10 Days) USD 7,800 English See dates & reserve →
Johannesburg, South Africa Mon - Fri (10 Days) USD 7,000 English See dates & reserve →
Pretoria, South Africa Mon - Fri (10 Days) USD 6,600 English See dates & reserve →
Kampala, Uganda Mon - Fri (10 Days) USD 3,800 English See dates & reserve →
Lagos, Nigeria Mon - Fri (10 Days) USD 5,000 English See dates & reserve →
Arusha, Tanzania Mon - Fri (10 Days) USD 4,000 English See dates & reserve →
Dar es Salaam, Tanzania Mon - Fri (10 Days) USD 3,800 English See dates & reserve →
Naivasha, Kenya Mon - Fri (10 Days) USD 3,400 English See dates & reserve →

Live, instructor-led sessions you can join from anywhere — pick the next start date below.

Code Start Date End Date Duration Fee
SLA-10 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →
SLA-10 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →
SLA-10 Weekend (8 Weeks) USD 1,700 Reserve my seat → Reserve team seats →
SLA-10 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →
SLA-10 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →
SLA-10 Weekend (8 Weeks) USD 1,700 Reserve my seat → Reserve team seats →
SLA-10 Mon - Fri (10 Days) USD 1,700 Reserve my seat → Reserve team seats →

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Content tailored to your industry, tools, and specific business challenges

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About the Course

In the current global landscape, organizations require results they can prove through empirical evidence. To succeed in this field, you must demonstrate proficiency in demand forecasting, inventory optimization, transportation modeling, network design, and supplier performance tracking. This Supply Chain and Logistics Analytics Training transforms scattered operational knowledge into a structured system for excellence. You will practice applying the SCOR Framework to identify bottlenecks and use Linear Programming to solve complex distribution challenges. While many courses offer a high-level summary, this program provides a deep dive into the mechanics of logistics optimization, ensuring you can replicate these successes in your own organization.

You will learn to turn raw transactional data into high-impact business decisions. Specifically, you will practice building ARIMA models for forecasting, designing multi-echelon inventory systems, and simulating greenfield network scenarios. You will be introduced to Digital Twin technology and AI-assisted route optimization at an overview level, while gaining hands-on mastery of Safety Stock calculations and Total Landed Cost analysis. Supply Chain and Logistics Analytics Training is designed for the professional who must navigate real-world constraints such as budget limitations, data silos, and regulatory acceleration. By the end of this course, you will have a comprehensive toolkit of templates and models ready for immediate implementation.


Target Audience

This intermediate-level program is built for professionals who handle complex data and operational decisions within the global supply chain ecosystem.

This course is designed for:

  • Supply Chain Data Analysts managing end-to-end performance metrics
  • Logistics Operations Managers optimizing regional distribution center workflows
  • Demand Planning Specialists building predictive models for SKU-level forecasting
  • Inventory Control Officers designing multi-echelon safety stock strategies
  • Transportation Analysts conducting route optimization and carrier performance audits
  • Sourcing and Procurement Specialists evaluating supplier risk and lead-time variability
  • Warehouse Supervisors implementing data-driven slotting and labor management systems
  • Strategic Network Planners modeling greenfield and brownfield facility locations
  • Financial Controllers overseeing total landed cost and cost-to-serve analytics
  • Operations Directors reporting supply chain resilience metrics to executive leadership

Course Objectives

This course equips you to design, execute, and report supply chain initiatives that improve efficiency, ensure compliance, and drive strategic growth.

By the end of this course, you'll be able to:

  • Assess current supply chain maturity using the SCOR Model framework
  • Apply ARIMA and Holt-Winters methodologies to generate accurate demand forecasts
  • Calculate optimal safety stock levels using lead-time and demand variability data
  • Design a network optimization model using Linear Programming techniques
  • Evaluate warehouse performance through WMS data and labor productivity metrics
  • Navigate international logistics compliance requirements using ISO 28000 standards
  • Implement automated supplier scorecards to monitor vendor reliability and risk
  • Synthesize complex logistics data into executive-level Power BI or Tableau dashboards

Requirements & Prerequisites

Participants should have a basic understanding of supply chain operations and be comfortable using Microsoft Excel for data manipulation. Familiarity with ERP or WMS concepts is recommended but not required.


Local Application and Business Return

How participants can apply the training in local operating conditions, and the return their organisation can plan for.

How participants apply this

Participants in Taiwan can use the course to analyse demand patterns by customer, channel, and export lane, then translate those findings into replenishment and service policies. They can build forecasts that reflect seasonality and volatility, rather than relying only on historical averages. In warehouse and transport operations, they can identify bottlenecks, measure carrier or site performance, and support decisions on stock positioning and shipment prioritisation. For managers, the practical output is clearer evidence for where to cut cost, where to add buffer, and where to invest in automation or network changes.

Expected ROI

Within 6–12 months, organisations often see better forecast accuracy, fewer stockouts, and less excess inventory when analytics is applied consistently to planning and execution. The largest gains usually come from improved exception management: teams can spot demand spikes, supply delays, and service failures earlier and respond before they become expensive. Leaders also gain a more defensible basis for budget decisions because cost-to-serve, safety stock, and transport trade-offs are quantified rather than assumed. In practice, that tends to improve both margin discipline and customer service reliability.

Training Methodology

This is a practical, outcome-driven course designed to turn supply chain data into measurable action and credible reporting.

Methodology includes:

  • Hands-on safety stock calculation exercise using real-world demand datasets
  • Scenario simulation requiring route optimization decisions under fuel price volatility
  • Audit of a logistics network using the SCOR Framework diagnostic tool
  • Stakeholder mapping exercise for cross-functional Sales and Operations Planning (S&OP)
  • Case study analysis from the retail, manufacturing, and pharmaceutical sectors
  • Group workshop producing a facility location recommendation using greenfield analysis
  • Reflection exercise evaluating current warehouse slotting efficiency against industry benchmarks

Upcoming Sessions

Next available dates worldwide

Virtual

(Zoom) Training
USD 1,700
29th Jun-10th Jul 2026

Nairobi

Kenya
USD 3,200
29th Jun-10th Jul 2026

Kigali

Rwanda
USD 3,800
29th Jun-10th Jul 2026

Dubai

United Arab Emirates (UAE)
USD 8,200
22nd Jun-3rd Jul 2026

Addis Ababa

Ethiopia
USD 4,900
22nd Jun-3rd Jul 2026

Zanzibar

Tanzania
USD 4,800
29th Jun-10th Jul 2026

Abuja

Nigeria
USD 5,600
20th Jul-31st Jul 2026

Mombasa

Kenya
USD 3,400
22nd Jun-3rd Jul 2026

Cape Town

South Africa
USD 7,800
29th Jun-10th Jul 2026

Johannesburg

South Africa
USD 7,000
13th Jul-24th Jul 2026

Kampala

Uganda
USD 3,800
22nd Jun-3rd Jul 2026

Pretoria

South Africa
USD 6,600
22nd Jun-3rd Jul 2026

Lagos

Nigeria
USD 5,000
22nd Jun-3rd Jul 2026

Certification

Recognized credentials that advance your career

Participants who complete the Supply Chain and Logistics Analytics Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.

NITA Accredited

Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.

CPD Certified

Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.

Why this course earns its place on your CV

Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.

In-Demand Skills Mastery

  • Transform raw supply chain data into actionable cost-saving decisions instantly.
  • Master predictive analytics to eliminate bottlenecks before they disrupt operations.
  • Learn demand forecasting techniques that reduce inventory waste by double digits.

Career Acceleration

  • Unlock six-figure logistics analyst roles with verified, portfolio-ready credentials.
  • Stand out to employers seeking rare analytics-plus-supply-chain hybrid expertise.
  • Graduate job-ready with real-world case studies from Fortune 500 supply chains.

Expert-Led Flexible Learning

  • Industry practitioners with 15+ years teach every module — zero theoretical filler.
  • Study on your schedule with self-paced access and live mentor support sessions.
  • Earn a recognized certification without pausing your current career trajectory.

Tools and platforms relevant to this field

Examples Taiwan, Province of China teams may encounter, and that may be featured in training where they support the confirmed course scope.

4

These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.

  • SAP S/4HANA SAP
    Used to connect finance, procurement, inventory, and logistics data so teams can analyse end-to-end supply chain performance in one system.
  • Microsoft Power BI Microsoft
    Used to build dashboards for inventory turns, service levels, transport performance, and cost-to-serve analysis.
  • Tableau Salesforce
    Used for visual analysis of demand trends, carrier performance, and exception reporting across supply chain functions.
  • Oracle SCM Cloud Oracle
    Used for planning, logistics, and supplier analytics when organisations want cloud-based visibility across procurement and fulfilment.

Real Results from Real Professionals

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

Local market advisory

Course relevance for Taiwan, Province of China

A country-specific view of market pressure, regulatory context, and practical business return behind this training.

  • Market context
  • Regulatory fit
  • Business application

Why this course matters in Taiwan, Province of China

A market-specific advisory on the operating pressures this course helps teams address.

Supply chain and logistics analytics matters in Taiwan because manufacturers, exporters, and logistics operators need tighter control over inventory, transport, and service levels in a fast-moving trade environment. The course helps teams replace spreadsheet-based reporting with forecast-driven and scenario-based decisions about demand, safety stock, network design, and supplier risk. It is especially relevant for logistics data analysts, supply chain managers, and operations planners who must justify cost-to-serve, resilience, and capacity decisions to leadership. For Taiwanese organisations competing in electronics, industrial goods, and export-led value chains, the practical value is better visibility into where cost and delay are created.
Export-led operations need finer cost-to-serve control

Taiwan’s supply chains are heavily tied to manufacturing and export performance, so analytics that isolate SKU-level and lane-level costs can quickly expose margin leakage and poor service design.

Resilience is now a planning requirement

Volatility in global demand and transportation makes predictive forecasting, supplier risk scoring, and scenario planning more valuable than static monthly reporting.

Warehouse and inventory decisions are moving toward automation

Teams that can link demand signals to replenishment, slotting, and inventory policies are better positioned to reduce stock imbalance while maintaining service targets.

This training is timely because Taiwanese supply chains depend on rapid adjustment to external demand shifts, transport constraints, and inventory risk. Organisations that can quantify service trade-offs and use analytics for planning and execution are better placed to protect margins and continuity.

Regulatory context in Taiwan, Province of China

The local regulators, laws, and frameworks shaping this discipline, with the curriculum mapped to what teams need to know.

3

Regulators

  • MOEA Relevant to industrial policy, trade-related operational rules, and supply chain activities tied to manufacturing and commerce.
  • MOTC Relevant to freight transport policy, logistics infrastructure, and transport-sector oversight affecting delivery performance.
  • Customs Relevant to import-export flows, customs clearance, cross-border logistics, and trade documentation.

Frameworks the course aligns with

  • 01 Customs Act · 1999
  • 02 Foreign Trade Act · 1972
  • 03 Road Traffic Management and Penalty Act · 1986

Frequently Asked Questions

Got questions? We've gathered the answers to common queries to help you feel confident and informed.

Yes. The course is designed to help participants use demand forecasts, safety stock logic, and service-level analysis to find a better balance between availability and carrying cost.

Yes. A major use case is moving from manual reporting to structured analytics, so participants can clean, model, and interpret data more consistently before adopting more advanced tools.

Logistics data analysts, supply chain managers, operations planners, and inventory or demand planning teams benefit most because they make the daily decisions the course is built to improve.

No. It also covers logistics performance analysis, supplier risk, warehouse optimisation, and decision-making frameworks that support network and inventory choices.

Customize Training Duration

The standard duration for Supply Chain and Logistics Analytics Training is 10 Days. The options below are alternative durations with adjusted pricing.

Looking for the standard 10 Days schedule? Use the button below.

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