2. Introduction
• Max fashion is brand owned by Landmark Group,
a Dubai based business conglomerate.
• It is currently the largest fashion brand in Middle
East, North Africa, South East Asia and India.
• It has 400 stores encompassing a floor area of
8.5 Million Sq. Ft.
3. Business Analytics
• It is a sweet merger of various fields namely
management, business and computer science.
• It aims at providing realistic, data influenced
modifications to the business which tries to
answer various key issues faced by a business
entity.
• It uses Big Data, Statistical inference and data
visualization to arrive at suitable results.
4. Problems faced by Max
Fashion
• Advent of e-commerce as a substitute for retail
outlets resulted in a decrease in the sales.
• The increase in wage rates of employees coupled
with an increase in rent especially in tier 1 and 2
cities brought down the profit margin by 20%.
• Constant changes in fashion trends resulted in a
steep increase in the quantity of unsold inventories
5. Usage of Data/Business
Analytics in problem solving
• Data analytics can be employed to mitigate the
problems faced my firms.
• The firm might resort to collection of feedbacks,
reviews, ratings, etc. and by analyzing such datas, it
can bring in necessary changes which would better
suit the needs of the customers.
• By means of analyzing such datas, the firm can also
forecast the future needs of the customers and bring
in new products in line with their expectations.
6. • In case of Max Fashion the firm launched its e-
commerce website as a substitute for retail outlets
to enhance the sales.
• To increase the sales, the firm started advertising
on social media such as Facebook, Instagram, etc.
• The concept of predictive modeling has been
employed and customer needs are forecasted in
advance. The firm thus bring in new models
according to the needs of the customers (especially
during periods of Diwali and Dussera).
7. • Max Fashion also segmented its customers into various
categories and age groups and started offering products to
satisfy needs of each group.
• With the use of AI, they were able to make necessary
modifications in their website. Now, the company’s website
shows products according to a specific user’s search
history. This is done by making use of data collected from
his/her previous searches and displaying the most relevant
information.
• It can be noted that there is a surge in the sales after an
intermittent slump during later part of 2013 and business
analytics played a quintessential role in making it a reality.