Super market Sales analytics
Sales Analysis Report
The S-Mart Supermarket
Prepared By:
Date:
Email:
Ujjaval Rana
Bell International
27/10/2021-
Th e S - Mar t S u p e r m ar k e t
S-Mart supermarket is
having wide range of c o n s u m e r product category generating ample amount of
sales data on daily basis. Utilizing the sam e fo r understandin g sales pattern so that business decision
can be m ade to m eet dem ands of everchanging m arket.
Business Task
Identify different factors affecting sales so that future business decision can be made to
formulate different offers and utilize resources effectively.
Key stakeholders
O w n e r - Mr . S n e h a l R a n a
1
Prepare Data
Data has been gathered from company’s sales register software. Data includes below details
Daily footfall details
Monthly segment-wise sales
Monthly Payment distribution
Total item sales qty in 2021 till oct.
Different financial year files have been merged year-wise to make it more useful for analysis
Process Data
Data has been cleaned and transformed using excel & R-Studio.
Different data rows and columns has been formatted and manipulated to make it ready for loading in tableau for
analysis
Analysis
Top 3 Days with highest Customer Count
• Sunday (Avg: 209)
• Friday (Avg: 152 )
• Wednesday (Avg: 152 )
Avg spend by customers on Top 3 days
•
Sunday ( Rs-716/-)
•
Wednesday ( Rs- 553/-)
•
Friday (Rs-541/-)
Major Customer traffic Time on Top 3 Days
• Sunday-12 PM,5-8 PM
• Wednesday-12 PM,5-6 PM
• Friday-5-6 PM
Note: In 2021 comparatively on Monday there is
good sales (Rs-725/- ) approx. 26.5% higher
from last year (Further Exploration needed )
Spend Amount & Customer Count Vs Weekday
2
Highest avg Monthly sales are in
July & August from Past 3 years.
(Detailed Analysis Required )
Avg Monthly Sales Trend
4
Item segment wise trend throughout the year
Total Items are divided in 39 Segment.
Major Item Segment for July & August months are
1. OIL/GHEE/VANASPATI(12.5)
2. FOOD GRAINS / GROCERY (22.5)
3.
DRY FRUIT(3.0)
4. MASALA/SPICES(4.5)
5. TEA/COFFEE(4.5)
6. FARSHAN CHIKI MITHAI (2.0)
For Diwali Period Below are top items
Over All Segment Share %
Sr No-
Segment
OIL/GHEE/VANASPATI(12.5)
FOOD GRAINS / GROCERY (22.5)
DRY FRUIT(3.0)
MASALA/SPICES(4.5)
TEA/COFFEE(4.5)
FARSHAN CHIKI MITHAI (2.0)
CLEANIG MATERIAL(3.0)
WASHING AID(5.0)
BAKERY PRODUCT/BISCUITS(5.0)
SUGAR / SALT(3.0)
INSTANT FOOD / READY TO EAT (3)
DAIRY/FROZEN PRODUCT(2.0)
BATH SOAP/ HAND WASH / LIQ.SOAP
HAIR CARE(3.0)
UPVAS(2.0)
5
Item with below segment sale is expected to rise till Dec
DRY FRUIT(3.0)
MASALA/SPICES(4.5)
OIL/GHEE/VANASPATI(12.5)
SUGAR / SALT(3.0)
TOYS
With reference to 2019 There is potential to grow Garment segment.
Note: Most Profitable item list is prepared in dashboard for further exploration.
Method of Payment distribution.
Highest Payment Share is through Credit Cards (51.80%) followed by Cash (39.51%) ,PayTm (4.28%) &
Sodexho Pass (2.44%)
Sharing
Dashboard is shared via tableau.
6
Insights and Recommendation
Is there any offers are running on Sunday, Wednesday & Friday? If not , offers should be formulated to
leverage more sales with high foot falls. (Identify major sales products on these days and formulate
combo offer)
Since in 2021 There is significant increase in foot fall and sales on Monday. It is recommended to run
combo offer or promote items sales for Monday.
Top Product segment items are recommended to be stored in center parts of racks & aisle -Since general
study shows while finding products customer’s major focus area (55%) will be in center of racks.
Major Customer traffics on different days are
Sunday-12 PM,5-8 PM
Wednesday-12 PM,5-6 PM
Friday-5-6 PM
It is recommended that maximum work force should be available at these times to improve customer’s
buying experience.
In addition to this it is also recommended to leverage benefits from different payment options as per
their distribution.
Explore Possibility of improving garment segment.
Thank You