Which retail data analytics technique has revolutionized menu engineering in restaurants by identifying the most profitable and popular dishes?

In today's competitive food industry, data analytics has become as essential as salt in the kitchen. Restaurants and food retailers are leveraging sophisticated analytics to understand customer preferences, optimize menus, and increase sales. This poll tests your knowledge about how modern food businesses are using retail data analytics to transform their operations and enhance customer experiences. Are you as savvy about food industry analytics as you are about food itself?

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Basket Analysis, which examines which menu items are commonly ordered together to create effective food pairings and promotions
Menu Matrix Analysis (Quadrant Analysis), which categorizes dishes into stars, puzzles, plowhorses, and dogs based on popularity and profitability
Sentiment Analytics, which analyzes customer reviews to determine which dishes receive the highest ratings
Seasonal Trend Forecasting, which predicts ingredient availability and price fluctuations to optimize menu planning