Case study: Exploring trends and relationships in retail sales
Superstore is a retail store chain. The task is to explore trends and relationships using the store’s historical data.
For analysis and visualization purposes, I used EXCEL and Tableau in this project.
Business task
Exploring the chain's sales performance over the past few years across all product categories.
Key stakeholders
· CFO of the chain
· Sales team
· Sales mangers/director
Business task
Exploring the chain's sales performance over the past few years across all product categories.
Key stakeholders
· CFO of the chain
· Sales team
· Sales mangers/director
· The data set used in this case study can be found here.
· This data is made available by Michael Martin of Tableau community.
· It is a public dataset.
· The data was updated on 11/28/2017
· The Excel file contains 3 worksheets: orders, people and returns.
· The data date range is from 01/03/14 to 12/30/17
· The orders table consists of 21 columns.
· The people table consists of 2 columns.
· The returns table consists of 2 columns.
· The data is reliable, original, comprehensive, current, and cited.
· The data contains no null values.
· Maximum order date in 'orders' 12/30/17
· Minimum order date in 'orders' 01/03/14
· Total profit for the time period $286,397.02
· Total sales for the time period $2,297,200.86
· overall profit margin=total profits/total sales 12.47%
Explore the relative makeup of Profit by category and segment for this year:
Sales by segment
· By using PivotTables, the data was aggregated and manipulated to meet the business task.
· Only of the years 2015 and 2016 as they are the last recorded full years in sales.
· There are 3 segments which are consumer, corporate and home office.
· The total sales for that period are 1079738.107 $
· Consumer, corporate and home office segments contribute to the sales of that period with a total of 52.18%, 31.11% and 16.71% respectively.
· The consumer segment contributes the most to the sales of that period with around: 56.65 % in 2015 and 48.73 % in 2016.
· The home office segment is contributing the least to the sales with around: 15.99% in 2015 and 17.27% in 2016.
Sales by category
· Overall, the highest sales category is ‘technology’ with a percentage of 34.5% of 2015’s total profit, 37.1% of 2016’s total sales and 36.04% of the total sales.
· Second is ‘furniture’ with a percentage of 36.2% of 2015’s total sales, 32.65% of 2016’s total sales and 34.21% of the total sales.
· The least sales category, however, is ‘office supplies’ with a percentage of 29.1% of 2015’s total sales, 30.1% of 2016’s total sales and 29.7% of the total sales.
· As for ‘technology’ category, the most sold item is ‘copiers’ with a percentage of 29.6 % of its total sales in 2015 and 44.6% in 2016.
· While technology’s least sold item is ‘machines’ with a percentage of 8.8 % of its total sales in 2015 and 7.3 % in 2016.
· As for ‘furniture’ category, the most sold item is ‘chairs’ with a percentage of 206.5 % of its total sales in 2015 and 82.8% in 2016.
· While furniture’s least sold item is ‘tables’ with a percentage of -116.4 % of its total sales in 2015 and -42.3% in 2016.
· As for ‘Office supplies’ category, the most sold item is ‘chairs’ with a percentage of 30.2 % of its total sales in 2015 and 29.1% in 2016.
· While Office supplies’ least sold item is ‘supplies’ with a percentage of -0.09 % of its total sales in 2015 and -1.9% in 2016.
Profit by segment
· There are 3 segments which are consumer, corporate and home office.
· The total profit for that period is 143413.778 $
· The consumer segment contributes the most to the profit of that period with around: 46.19% in 2015 and 43.73% in 2016.
· In 2015, ‘Accessories’ is the most profitable item for the consumer segment with a percentage of 23.2 %.
· In 2016, ‘Binders’ is the most profitable item for the consumer segment with a percentage of 14.8 %.
· In 2015, ‘Tables’ is the least profitable item for the consumer segment with a percentage of – 12.13 %.
· In 2016, ‘Tables’ is the least profitable item for the consumer segment with a percentage of -3.5 %.
· The home office segment contributes the least to the profit of that period with around: 20.24% in 2015 and 18.37% in 2016.
· In 2015, ‘Binders’ is the most significant driver of sales for the home office segment with a percentage of 19.3 % of its profit
· In 2016, ‘Binders’ is the most significant driver of sales for the home office segment with a percentage of 20.7 % of its profit
· In 2015, ‘Tables’ is the least significant driver of sales for the home office segment with a percentage of – 3.15 % of its profit
· In 2016, ‘Tables’ is the least significant driver of sales for the home office segment with a percentage of -9.6 % of its profit
Profit by category
• Overall, the most profitable category is ‘technology’ with a percentage 54.37% of 2015’s total profit, 48.63% of 2016’s total profit and 51.10% of the total profit.
• Second is ‘office supplies’ with a percentage of with a percentage 40.73% of 2015’s total profit 42.86% of 2016’s total profit and 41.95% of the total profit.
• However, ‘furniture’ comes third with a percentage of 4.89% 2015’s total profit, 8.51% of 2016’s total profit and 6.96% of the total profit.
• As for ‘technology’ category, the most profitable item is ‘Phones’ with a percentage of 31.04% of its total sales in 2015 and 23.78% in 2016.
• While technology’s least profitable item is ‘machines’ with a percentage 8.89% of its total sales in 2015 and 7.31% in 2016.
• As for ‘Office supplies’ category, the most profitable item is ‘Binders’ with a percentage of 30.27% of its total sales in 2015 and 29.14% in 2016.
• While Office supplies’ least profitable item is ‘supplies’ with a percentage of-0.10% of its total sales in 2015 and-1.99% in 2016.
• As for ‘furniture’ category, the most profitable item is ‘chairs’ with a percentage of 206.57% of its total sales in 2015 and 82.80% in 2016.
• While furniture’s least profitable item is ‘tables’ with a percentage of -116.40% of its total sales in 2015 and -42.40% in 2016.
Performance over time
· The biggest growth in sales was in 2016 with Technology showing the highest growth, which was 37.15% of the total sales of that year.
Total sales trends over time
· In general, quarters 3 and 4 produce most sales over the time between 2014 and 2017, where quarters 1 and 2 are least.
· Quarter 4 of 2017 is the best-selling quarter with 31.8% of that year’s total sales.
· Quarter 1 of 2014 is the worst-selling quarter with 20.6% of that year’s total sales.
Q4 is the most profitable for Superstore:
November then December are the highest in sales in Q4.
Q4 sales are the highest in the category of technology, followed by furniture, whereas office supplies are the least sold items.
The linear forecast trendline suggests that sales at the Superstore is increasing over time and by year; however, this trend is based on data from the available years only. More historical data would be very insightful in exploring such trend.
Average order value (AOV)
· Total sales/number of orders= 458.6147
· The histogram shows that the values are not normally distributed.
· The highest average sales order was in the South region: 237.26, while the lowest average was in the Central region: 189.07.
Basic financial models
· Salespeople at Superstore: 2% of their region's total sales times its annual turnover is as follows for 80%, 90% and 100% of its annual turnover:
· 100000 of annual sales: 1600$, 1800$, 2000$
· 150000 of annual sales: 2400$, 2700$, 3000$
· 200000 of annual sales: 3200$, 3600$, 4000$
· The number of units Superstore needs to sell to reach $2,000 in profits is 533 units.
Data visualization can be found here.
Upon examining the data, one can find that:
While sales in quarter 4 is the highest for all categories (November then December have the highest in sales in Q4 and overall) maybe because it’s in the holiday season, the store should aim at increasing sales for the remaining quarters, especially for summer season (Q3 and Q2) by introducing suitable products for that time in each category. These could include grills, portable coolers, camp stoves, waterproof speakers, mosquito repellent, portable chairs, etc. Also, Q1 sales should be boosted as well.
The west region sales are the highest with an increasing trend over the years which suggests that they apply successful sales strategies. Such strategies should be discussed and implemented while suitable for the other three regions, especially the south region which has the lowest number in sales.
Total sales for all categories are on the rise from 2014 to 2017; however, furniture sales are fluctuating and decreasing towards 2017. Sales teams should focus on that category to boost its sales.
Whereas office supplies sales remain in the middle place between technology and furniture, they are the least profitable sold items; the profit margin of their subcategories should be increased to make up for the low profit.
The following subcategories are the least profitable in the whole store: supplies, bookcases, and tables. If -after implementing new sales and marketing strategies- this trend continues in the future, the store should discontinue selling these items.
The sales team should investigate the reasons for the low ‘home office’ sales segment over the time and come up with new ideas to increase it.
It is worth noting that the sales team should aim at a 100% turnover rate to get the highest allocated bonus.