This data analysis project aims to provide strategic recommendations to increase profitability for "Pet Friends - Distribution". Through a structured and multidimensional approach, the team of experts will address six key aspects:
- Utilizing sales data, customer segments will be identified based on various factors such as purchase frequency and value, geographic location, and product preferences.
- Recommended actions will include personalized promotions and products for each segment to enhance relevance and customer satisfaction.
- Order line analysis will identify products with higher profit margins and those that may be generating losses.
- Recommendations will focus on actively promoting the most profitable products and adjusting prices of low-margin products to improve overall profitability.
- Purchase patterns will be examined to uncover opportunities for cross-selling and upselling between products.
- Strategies will be proposed to promote complementary products and enhance customer satisfaction through relevant suggestions.
- Sales data over time will be examined to identify seasonal trends in product demand.
- Actions will be recommended to effectively plan inventory and promotions based on these trends.
- Repeat purchase rates will be analyzed to identify opportunities to increase customer loyalty and repeat sales.
- Strategies will be suggested to improve customer retention and foster brand loyalty.
- Areas of inefficiency in order preparation will be identified through analysis of order line data.
- Actions will be proposed to enhance operational efficiency and optimize distribution and logistics processes.
Contributions to this project are welcome. If you wish to contribute, please open an issue to discuss the proposed changes.
This project is licensed under the Apache License
For any questions or suggestions, please contact us via [email]
(Guillem: [email protected] / Gerard: [email protected]).
Thank you for your interest in our project!