Food Chain Data Analytics - Research and Report

This research and report show a comprehensive data analysis of a well-known pizza chain, and highlights the derived insights using data analytics and how they affect data-driven decision-making in optimizing their strategies. The research was conducted to delivers an accurate understanding of several aspects of restaurant including menu prices, offers and performance metrics.

Client Requirement

The client was looking for a robust data analytics solution to monitor and optimize several factors across their restaurant locations. The main requirements include:

  • Geo-location-based store availability tracking.
  • Monitoring prices for factors like add-ons, portions, and categories.
  • Monitoring store and stock availability
  • Tracking delivery and other charges.
  • Extensive monitoring of the quantity and worth of discounts, offers, and price comparisons.
Food Chain Data Analytics - Research and Report

Key Insights Offers and Menu

Key Insights Offers and Menu

The analysis report of client’s company delivers valuable insights into the competitive landscape and pricing policies of the several leading Pizza brands. By analyzing offer categories, delivery charges, prices, and regional pricing difference, the users can better understand the dynamics and latest trends that influence consumer choices and brand positioning in the food market.

  1. Discount Analysis: When compared to Domino’s Pizza, Pizza Hut’s “Up To” offerings give a 130% larger discount.
  2. Delivery Fees: In August, Tossin Pizza’s delivery fees more than doubled when compared to Domino’s Pizza.
  3. Price monitoring: Pizza Hut’s highest “starting price” is 80% more than Domino’s Pizza’s.

  4. Offer Value: The “Up To” offerings from Domino’s Pizza are over ten times more than those from La Pino’z Pizza in the provided dataset.
  5. Comparative gives: Compared to Oven Story Pizza, Domino’s Pizza gives 140% greater “Up to” incentives.
  6. Average Value Offers: In a number of categories, Pizza Hut offers average value offers that are eighteen times more than those of Domino’s.

Insights on Price Trends and Regional

  1. Price Reduction: While price monitoring, we analyzed that Domino’s Pizza lowered its prices by 9% after August.
  2. Pizza Pricing: Oven Story’s medium pizzas are sold at a nearly 15% discount compared to Pizza Hut and Domino’s.
  3. Ingredient-Based Pricing: Paneer-based pizzas from Domino’s Pizza cost almost fifty dollars cheaper than chicken-based pizzas.
  4. Regional Pricing: In Guwahati, Domino’s Pizza costs approximately 10% more than in Delhi.
  5. Menu Variety: Domino’s Pizza displayed 12 menu items in September.
  6. Restaurant Distribution: Tier 1 and Tier 2 cities are home to the majority of pizza-serving brand restaurants.

Key Performance Indicators for Menu Analysis

  1. Time-Based Price Trend Analysis: This method looks at how menu item prices vary over time to find trends related to promotions or seasonality.
  2. Item Size and Corresponding Prices: To comprehend value offerings, examine the relationship between menu item sizes and pricing.
  3. Top Prices Based on Items: Finding the most expensive products on the menu to comprehend what the premium selections are
  4. Prices Comparison Across Variants: This technique highlights pricing strategies by comparing the costs of several variations of the same item.
  5. Menu Items Across Time: Monitoring the additions and deletions of menu items over time allows for the analysis of menu evolution.
  6. Geographical Spread: To comprehend regional pricing methods, evaluate the differences in menu items and prices between various regions.

Major Goal of Research and Report

This research and report’s main objective is to present a thorough analysis of the top pizza brands’ price tactics, delivery costs, and discount offers. This research attempts to determine customer preferences, market positioning, and competitive advantages by classifying and tracking offer values, distribution, and trends. In the cutthroat food market, this study helps stakeholders maximize their promotional strategies and make well-informed judgments.

Benefits of Jubilant Data Analytics

  1. Improved Decision-Making: Offers practical insights for efficient operations and strategic planning.

    2. Competitive Advantage: Provides superior positioning versus rivals by identifying consumer preferences and market trends.

    3. Enhanced Customer Experience: Facilitates customized advertising and focused promotions, offering models for optimal financial gain.

    4. Optimised price Policies: these aid in the comprehension of price dynamics and the enhancement of pricing models to achieve optimal profitability.

    5. Operational Efficiency: To improve overall efficiency, streamline procedures by identifying areas for improvement and putting data-driven solutions into practice.

Conclusion

Considerable information about customer preferences and competitive dynamics can be gained from a thorough examination of pizza market offers, delivery costs, and pricing strategies. Businesses can improve their marketing and operational strategies, obtain a competitive edge, and make well-informed decisions by utilizing data analytics. In the fiercely competitive pizza sector, a thorough awareness of market trends and brand positioning ultimately improves customer happiness and propels business success.