Business Challenge:
The pizza chain faced challenges in understanding its sales dynamics, including identifying peak sales periods, determining the best and worst-selling products, and recognizing which factors drive revenue growth. The goal was to leverage data to make informed decisions that enhance profitability and customer satisfaction.
Dashboard Overview:
The Power BI dashboard provides a comprehensive view of sales data from January to December 2015. Here are some key insights:
Total Revenue: $817.86K
Average Order Value: $38.31
Total Pizzas Sold: 49,574
Total Orders: 21,350
Average Pizzas per Order: 2.32
Key Insights:
Sales Trends:
Daily Peak: Orders peak on Fridays, suggesting increased demand at the end of the workweek.
Monthly Peak: Sales are highest in July and January, indicating possible seasonal influences or successful marketing campaigns.
Top Performing Pizzas:
The Classic, Barbecue, and Hawaiian pizzas lead in quantity sold, while the Thai Chicken and California pizzas top the revenue charts.
Product Categories:
The Classic category contributes the most to sales, with large-sized pizzas being the most popular choice among customers.
Underperforming Products:
Pizzas like The Spinach and The Mediterranean have lower sales, presenting opportunities for recipe refinement or targeted marketing strategies.
Recommendations:
Maximize Peak Sales Periods: Leverage Fridays and Saturdays with targeted promotions and special offers to boost sales.
Seasonal Campaigns: Implement strategic marketing initiatives during July and January to capitalize on peak demand.
Product Optimization: Focus on expanding popular pizza categories and sizes while exploring improvements for underperforming products.
Customer Feedback: Engage with customers to gather insights on preferences, enabling product improvements and personalized offerings.
Data-Driven Strategies: Continuously monitor sales data and adjust business strategies to align with evolving customer demands and market trends.
اسم المستقل | Mohamed N. |
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