Analyzing the Business Model of a Jockey Outlet
Business Data Management
Capstone Project
�
Akash Sharma
22f2000700
About the Company�
SR Associates
Inner, Active & Casual : Wear
City Center Mall, Guwahati
No. of Employees: 4
Annual Turnover: ₹ 2,71,21,109
Owner: Shubham Goyal
Timing: 10:30AM to 09:30PM
Data Overview & Challenges�
Detailed Sales Data
Datewise Sales Summary
Inventory Management
Low Foot Traffic
Revenue Fluctuations
Contains Product Name, Category, Salesman, and Quantity Sold.
From April’23 to July’23, contains Total Bills, Quantity Sold, Revenue & Payments.
Stockouts on high-demand items; overstock of off-season products.
Limited weekday foot-traffic reduces customer exposure and awareness.
Inconsistent sales across months, affecting steady profitability and growth.
Analytical Approach
Division Insights
Data Collection
Descriptive Analysis
Data Cleaning
Visualization
Trend Analysis
Analyzed product categories to identify top-selling items and their revenue impact.
MS Excel & Pandas in Python.
Sales patterns and seasonal fluctuations over time.
Excel & Matplotlib to convey insights and support data-driven decisions.
Sales Data from April to July 2023.
Evaluated total bills, quantity sold, and revenue metrics.
Inventory Performance�
T-Shirts, Shorts, Trunks, Boxers and Brief generate over 40% of total revenue.
44%
Revenue Concentration
Class A products account for over 65% of revenue; Class C items contribute minimally.
67%
Class Analysis
T-SHIRT BRA, EVERYDAY BRA, VEST generate an equivalent revenue highlighting their significant role in overall sales.
₹ 417,843.50
Essential Items
Revenue Dynamics�
In July, the revenue reached its highest point at ₹3,113,873, highlighting a notable increase in sales performance from April to July.
May experiences the lowest revenue, i.e., ₹2,43,6072 indicating a temporary slowdown before recovery in June and July.
May's revenue dip is likely due to seasonal factors like the onset of the monsoon, leading to reduced consumer demand and lower shopping activity during that time.
Transaction Overview�
Customers typically buy 3 items per transaction, reflecting a trend of moderate bundled purchases and potential for upselling.
13 transactions involve the purchase of 2 items, suggesting a pattern of low-commitment or more selective customer buying behavior.
Out of all transactions, only 1 involved the purchase of 5 items, highlighting that high-value purchases of larger baskets are relatively rare occurrences.
Profit Analysis�
POSITIVE
NEGATIVE
EXTERNAL
INTERNAL
STRENGTH
WEAKNESS
OPPORTUNITY
THREAT
Sales Enhancement Strategies�
Run off-season clearance, bundle slow-moving items, and offer loyalty programs for larger basket purchases.
Implement real-time stock tracking to optimize product replenishment.
.
Maintain consistent mid-month offers and launch weekday discounts to boost low weekday footfall.
Prioritize summer products, increase winter stock, and adjust financial plans based on seasonal sales patterns.
Launch promotional campaigns pre-monsoon to counteract low revenue.
Partner with digital wallets for exclusive offers to attract tech-savvy customers.
Thank You