Order Analysis

 

• Relative Frequency Chart: Displays the popularity of various menu items, such as mozzarella and traditional dough, enabling effective prioritization of inventory and resources. This visualization helps identify customer favorites and guides stock management.
• Association Rules: Employs market basket analysis algorithms to identify purchase patterns and correlations, such as the strong association between traditional dough and mozzarella. These insights can be utilized to design effective promotions, bundle deals, and improve upselling strategies.
• Doubledecker Plot: Provides a clear visualization of specific rules and their dependencies. For instance, it highlights strong associations between key ingredients like mozzarella and tomato, enabling precise targeting of product combinations.

Sentiment and Feedback Analysis

 

• Sentiment Analysis: Evaluates customer comments to identify predominant emotions. The analysis reveals that most feedback expresses "surprise," suggesting positive experiences. Addressing other sentiments like "confidence" and minimizing negative feedback offers opportunities for improvement in service quality.
• Word Cloud: Highlights key terms frequently mentioned in customer reviews, such as "pizza," "capricha," and "massa." These insights provide a foundation for designing marketing campaigns and emphasizing qualities that resonate with customers.
• Frequent Bigrams: Extracts the most common word pairs, such as "pizza é" (pizza is), to better understand customer communication patterns. These insights can shape targeted advertisements and customer engagement strategies.

 

Correspondence Analysis

 

• Visualizes the relationships between ingredients across two dimensions, uncovering unexpected pairings like tofu and feta cheese. These findings enable the development of premium or vegetarian pizzas tailored to niche customer preferences, while also refining the overall product mix to meet diverse demands.

 

Key Business Value

 

• Customer Insights: Offers a deep understanding of customer preferences and behaviors, which aids in tailoring the menu and optimizing the customer experience.
• Operational Efficiency: Guides inventory management and purchasing decisions, reducing waste and improving profitability.
• Marketing Optimization: Provides actionable data for designing targeted marketing campaigns, bundles, and promotions.
• Product Development: Enables innovation by identifying opportunities to expand the product portfolio with new or enhanced offerings, such as premium or customized pizza options.

• Comprehensive Analysis

  Delivers advanced analytics on pizza orders and customer feedback, uncovering patterns and insights for strategic planning.

• Interactive Visualizations

  Features dynamic dashboards and charts that empower decision-making with clear, actionable insights.

• Data-Driven Innovation

  Integrates sentiment and association analysis to optimize inventory, marketing, and product offerings.

Technologies Used in This Project

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