Mô tả

Business analytics and AI are two of the hottest topics in the fashion industry.

Not only that: the global brands that rely on intelligent data collection and processing have a strong competitive advantage over the ones that are data blind.

And this shouldn’t come as a surprise, right?

We live in the 2020s.

Today, in almost all industries, the most successful businesses leverage user data to extract meaningful insights and tailor their products to satisfy user wants and needs.

Netflix recommends to us the movies and TV series we want to see next.

Instagram knows which photos we want in our feed.

So… naturally … fashion brands would want to know which clothes we want to wear, what impact the discounts have on us, and how likely it is that we’ll return after our first purchase.

Top executives understand long-term gains in the fashion industry aren’t about one-off transactions. Instead, successful brands want to win us over for the long run. The best way to do that is by employing a strategy centered around hyper-personalization. This means leveraging analytics, data science, and AI to deliver a first-rate experience that will make us a repeated customer.

Pretending that current fashion trends are the same as they were a decade ago is as detrimental as operating without leveraging insights from data. The best brands will surpass you because they will:

  • Price items correctly

  • Know when to discount an item

  • Recommend the right items

  • Excel at engaging customers online

  • Stock the right styles

  • Be able to choose the right colors, fabrics, and sizes

  • Supply stores on time and efficiently

  • The goal of this course is to help you learn about analytics in the fashion industry. We want to help you understand the ways in which different types of analysis can be applied in the fashion world and why that would be helpful in practice.

To provide invaluable insights that correspond to the best practices in the industry, we partnered with an experienced executive who’s worked with some of the biggest brands in the industry. His current work contract doesn’t allow us to share more info. However, his working title as Director of Data and Analytics for one of the biggest companies in the industry speaks volumes of his expertise of the topics we’ll cover together.

This course is an invaluable opportunity for anyone who works in fashion or who wants to work in fashion and become a high-level executive. Moreover, the course can also be useful to data practitioners who would like to specialize/get hired in the fashion industry. Some of the interesting topics we will cover are:

  • Product recommendations

  • Consumer-driven marketing

  • Digital & web analytics

  • Integrated demand forecasting

  • Supply chain analytics for fashion companies

  • Store localization, clustering, and in-store optimization

  • Pricing optimization, and

  • AI for uncovering fashion trends


This course offers tremendous upside for the time you will dedicate to it. Not only can it be career-changing if you work in fashion, but it can also inspire you to transform your business if you’re a fashion entrepreneur who wants to succeed in the years to come.

Bạn sẽ học được gì

How to apply data analytics in real-life

How data can help a fashion business

Industry-specific application of data analytics principles

Fashion analytics

Product recommendations

Consumer-driven marketing

Digital & web analytics

Integrated demand forecasting

Supply chain analytics for fashion companies

Store localization, clustering, and in-store optimization

Pricing optimization

AI for uncovering fashion trends

How to build a dashboard for a fashion company in Tableau

Yêu cầu

  • No prior experience is required. We will start from the very basics
  • You'll need to install Tableau

Nội dung khoá học

10 sections

Introduction  to The Course

5 lectures
What Does the Course Cover?
05:01
What Is Fashion Analytics?
02:19
Realizing the Potential of Analytics in Fashion
05:51
The Breadth of Analytical Options
05:28
Requirements for Embedding Analytics in Fashion
05:40

Consumer-Driven Marketing

3 lectures
Marketing Fundamentals for Analytics
05:26
Analytics Activation in Consumer-Driven Marketing
05:47
An Overview of Cluster Analysis and Consumer Scoring
05:41

Consumer Analytics - Product Recommendation

3 lectures
What Is a Product Recommendation  Systems?
02:57
Collaborative and Content-Based Filtering
06:32
Similarity Measures for Product Recommendation  Engines
04:32

Digital and Web Analytics

4 lectures
Introduction to Digital and Web Analytics
04:39
Experience Analytics and Attribution Models
03:49
Clickstream Analytics and A/B Testing
05:51
Challenges and Opportunities in Web Analytics
03:53

Supply Chain Analytics

3 lectures
Introduction to Supply Chain Analytics
03:29
Advanced Analytics in the Supply Chain
04:38
Applications of Analytics in the Supply Chain
05:03

Integrated Demand Forecasting

4 lectures
What Is Integrated Demand Forecasting?
03:21
Integrated Demand Forecasting in the Fashion Industry
06:48
Data Science in Demand Forecasting
03:55
How Do Industry Leaders Use Using Integrated Demand Forecasting ?
04:21

Pricing Optimization

3 lectures
What Is Pricing Optimization?
04:11
Advanced Analytics in Pricing Optimization
06:35
How  Does the Fashion Industry Leverage Optimization in Pricing?
05:17

Store Localization, Clustering, and In-store Optimization

2 lectures
Introduction to Store Localization, Clustering, and In-store Optimization
04:51
Advanced Analytics in Localization, Clustering, and In-store Optimization
07:58

AI for Predicting Fashion Trends

2 lectures
Introduction to Artificial Intelligence in Fashion
06:19
Image Recognition and Market Intelligence in Fashion
05:20

Case Study - Building a Fashion Analytics Story in Tableau

11 lectures
Getting to Know the Dataset
04:06
Creating a Company KPIs Table in Tableau - Net Sales
04:23
Creating a Company KPIs Table in Tableau - Gross Profit Margins
06:49
Creating a Map Chart of Consumer Countries in Tableau
02:37
Creating a Customer KPIs Table in Tableau
06:58
Creating a Bar Chart of Consumer Metrics in Tableau
01:33
Building the Frequency Curve in Tableau
02:55
Building the Repurchase Curve in Tableau
04:06
Creating the Dashboards for the Fashion Analytics Story in Tableau
02:45
Styling and Formatting the Fashion Analytics Report
05:04
Interpretation of the Data Analytics Fashion Story
08:54

Đánh giá của học viên

Chưa có đánh giá
Course Rating
5
0%
4
0%
3
0%
2
0%
1
0%

Bình luận khách hàng

Viết Bình Luận

Bạn đánh giá khoá học này thế nào?

image

Đăng ký get khoá học Udemy - Unica - Gitiho giá chỉ 50k!

Get khoá học giá rẻ ngay trước khi bị fix.