__STYLES__

๐•๐ซ๐ข๐ง๐๐š ๐’๐ญ๐จ๐ซ๐ž ๐ƒ๐š๐ญ๐š ๐€๐ง๐š๐ฅ๐ฒ๐ฌ๐ข๐ฌ

Tools used in this project
๐•๐ซ๐ข๐ง๐๐š ๐’๐ญ๐จ๐ซ๐ž ๐ƒ๐š๐ญ๐š ๐€๐ง๐š๐ฅ๐ฒ๐ฌ๐ข๐ฌ

About this project

We took Vrinda Storeโ€™s data on a journey of discovery!

Here's what we found:

  • ๐—ฃ๐—ฟ๐—ฒ๐—ฝ๐—ฎ๐—ฟ๐—ถ๐—ป๐—ด ๐˜๐—ต๐—ฒ ๐—š๐—ฟ๐—ผ๐˜‚๐—ป๐—ฑ๐˜„๐—ผ๐—ฟ๐—ธ:- ๐— ๐—ถ๐˜€๐˜€๐—ถ๐—ป๐—ด ๐—ฃ๐—ถ๐—ฒ๐—ฐ๐—ฒ๐˜€? ๐—ก๐—ผ ๐—ฃ๐—ฟ๐—ผ๐—ฏ๐—น๐—ฒ๐—บ! We addressed any incomplete data points to ensure a complete picture.

  • ๐——๐—ผ๐˜‚๐—ฏ๐—น๐—ฒ ๐—ง๐—ฟ๐—ผ๐˜‚๐—ฏ๐—น๐—ฒ? ๐—˜๐—น๐—ถ๐—บ๐—ถ๐—ป๐—ฎ๐˜๐—ฒ๐—ฑ! Duplicate data was identified and removed for accurate analysis.

  • ๐—–๐—ผ๐—ป๐˜€๐—ถ๐˜€๐˜๐—ฒ๐—ป๐—ฐ๐˜† ๐—ถ๐˜€ ๐—ž๐—ฒ๐˜†! We ensured all data followed a consistent format, catching any errors along the way.

  • ๐—จ๐—ป๐˜ƒ๐—ฒ๐—ถ๐—น๐—ถ๐—ป๐—ด ๐˜๐—ต๐—ฒ ๐—ฆ๐—ฎ๐—น๐—ฒ๐˜€ ๐—ฆ๐˜๐—ผ๐—ฟ๐˜†:- ๐—ง๐—ถ๐—บ๐—ฒ ๐—ง๐—ฟ๐—ฎ๐˜ƒ๐—ฒ๐—น๐—ฒ๐—ฟ'๐˜€ ๐—ฉ๐—ถ๐—ฒ๐˜„: We charted the overall sales journey over time, revealing trends and patterns.

  • ๐—ฃ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜ ๐—ฃ๐˜‚๐—น๐˜€๐—ฒ: We assessed the current state of each product in the store's inventory.

  • ๐—ฅ๐—ฒ๐—ด๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—ฉ๐—ฎ๐—ฟ๐—ถ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐˜€: We examined how sales differed across various geographical regions.

  • ๐—จ๐—ป๐—ฑ๐—ฒ๐—ฟ๐˜€๐˜๐—ฎ๐—ป๐—ฑ๐—ถ๐—ป๐—ด ๐—ข๐˜‚๐—ฟ ๐—–๐˜‚๐˜€๐˜๐—ผ๐—บ๐—ฒ๐—ฟ๐˜€:- ๐—–๐˜‚๐˜€๐˜๐—ผ๐—บ๐—ฒ๐—ฟ ๐—–๐—ต๐—ฎ๐—บ๐—ฝ๐—ถ๐—ผ๐—ป๐˜€: We identified key customers and their impact on overall sales.

  • ๐—ž๐—ป๐—ผ๐˜„๐—ถ๐—ป๐—ด ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—”๐˜‚๐—ฑ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ: Customers were grouped based on their purchasing behaviour for targeted strategies.

-๐—ฃ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜ ๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ๐—ต๐—ผ๐˜‚๐˜€๐—ฒ:- ๐—ฃ๐—ฒ๐—ฟ๐—ณ๐—ผ๐—ฟ๐—บ๐—ฎ๐—ป๐—ฐ๐—ฒ ๐—–๐—ต๐—ฒ๐—ฐ๐—ธ-๐—จ๐—ฝ: We evaluated the performance of each product using sales data and customer feedback.

  • ๐—œ๐—ฑ๐—ฒ๐—ป๐˜๐—ถ๐—ณ๐˜†๐—ถ๐—ป๐—ด ๐—Ÿ๐—ฎ๐—ด๐—ด๐—ฎ๐—ฟ๐—ฑ๐˜€: Slow-moving or underperforming products were pinpointed for further analysis and potential adjustments.

  • ๐—ฃ๐—ฎ๐—ถ๐—ป๐˜๐—ถ๐—ป๐—ด ๐—ฎ ๐—–๐—น๐—ฒ๐—ฎ๐—ฟ ๐—ฃ๐—ถ๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ:- ๐—œ๐—ป๐˜€๐—ถ๐—ด๐—ต๐˜๐˜€ ๐—–๐—ผ๐—บ๐—ฒ ๐—”๐—น๐—ถ๐˜ƒ๐—ฒ: We crafted clear visualizations like bar charts, pie charts and line charts for impactful communication.

๐—–๐—ผ๐—ป๐—ฐ๐—น๐˜‚๐˜€๐—ถ๐—ผ๐—ป ๐˜๐—ผ ๐—ถ๐—บ๐—ฝ๐—ฟ๐—ผ๐˜ƒ๐—ฒ ๐—ฉ๐—ฟ๐—ถ๐—ป๐—ฑ๐—ฎ ๐—ฆ๐˜๐—ผ๐—ฟ๐—ฒโ€™๐˜€ ๐˜€๐—ฎ๐—น๐—ฒ๐˜€:- Target women customer of age group 30-49 years in states MH, Karnataka and UP with ads/offers/coupons on Amazon, Flipkart and Myntra.

This data analysis empowered Vrinda Store with a roadmap for data-driven decision-making. By optimizing sales strategies, enhancing customer satisfaction and addressing product performance, Vrinda Store is poised for significant business growth.

Additional project images

Discussion and feedback(2 comments)
comment-2106-avatar
Richa Xalxo
18 days ago
The Cover Picture is Great.

comment-2233-avatar
Jaideep Gupta
Jaideep Gupta
14 days ago
Hi Bigyandutt, great job! I've also created a similar project; could you please take a look at my work too?
2000 characters remaining
Cookie SettingsWe use cookies to enhance your experience, analyze site traffic and deliver personalized content. Read our Privacy Policy.