E-commerce Sales Strategy Using Tableau
Last Updated on March 29, 2021 by Editorial Team
Author(s): Juhi Sharma
Data Analysis
E-commerce Data Analysis UsingΒ Tableau
K-mart sales strategy for the year 2020 based on the insights from the sales data inΒ 2019.
Introduction
Kmart is a leading online retailer in the US and as part of their annual sales review meeting, they need to decide on their sales strategy for the year 2020 based on the insights from the sales data inΒ 2019.
Data is related to sales for each month of 2019 and the task is to generate key insights which will help the sales team of Kmart to take some key business decisions towards Fine-tuning their sales strategy.
Data Understanding
1.Data Belongs to Kmart -a leading online retailer in theΒ US.
2.Time PeriodβββJanuary 2019βββDecemberΒ 2019
3.Unique Productβββ19
4.Total Ordersβββ178437
5.Citiesβββ9
6.KPIβsβββTotal Sales, Total ProductsΒ Sold
Tableau Worksheets
The best Month for sales in 2019 was DECEMBER. Total sales in December is $Β 4619297
31017.0 quantity of AAA Batteries (4-pack) was sold in 2019. It is sold in maximum number because it is the cheapestΒ product
The sale of Mackbook Pro Laptop wasΒ Highest.
At Around 7:00 pm Sale isΒ Maximum.
Tableau Dashboard
We can apply a Filter of City, Product, and Time Period on the Dashboard.
Business Suggestions Based onΒ Analysis
1. Company should provide offers and discounts in the months like January and September to increase sales in 2020 as these months have the lowest sales inΒ 2019.
2. Austin, Portland, and Dallas have fewer sales as compared to other cities. The company should look for the reasons behind it to boost up the sales inΒ 2020.
3. Around 12:00 pm and 7:00 pm is the most appropriate time to display advertising to maximize the likelihood of customers buying the product/s.
4.AAA Batteries (4-pack) was sold maximum number in 2019Β . Company should take care of inventory of AAA Batteries (4-pack).
5. Company can work on priceβββstrategy as per insights fromΒ 2019.
Before YouΒ Go
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