Restaurants, Food, Data Science and Consumer Research: Some of Our Clients and How We Can Help
Restaurants and food service companies are using data science and data analytics to better understand customer needs, improve marketing, and uncover emerging and relevant market trends. Data is collected daily that needs to be rapidly analyzed so that restaurants and food service companies can access insightful, actionable reports they can use to make decisions. Collecting behavioral and metadata on customers—and analyzing it with insights and rigor—helps restaurants and food service companies understand their customers better and build lasting relationships with people who buy or will buy their products.
Big data-driven analytics supports restaurants and food service companies with critical decision-making capabilities in the areas of pricing, promotions, and new product introduction. Predictive analytics can be used to tell you what, when, why and how much customers will order. Benefits of data science include improved product innovation, increased revenues, expanded customer reach, increased marketing ROI, and a client experience that breeds loyalty.
Consumer research is essential to entering new markets, determining restaurant location, and ensuring marketing messages and channels are optimized.
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Restaurants and Food Service: Questions Data Science and Consumer Research Can Answer
Where should we open new restaurants?
How can we predict and stay ahead of the curve with rapidly changing customer food preferences?
How can we use data to better predict demand and supply of food and food trends throughout the process?
Who is eating in my restaurant and why? Who else should be targeted to join them?
How are we performing in comparison to other restaurants across the market and in our niché?
Can we predict how much our sales will increase this football season, around the holidays, and over the summer so that we can plan our production and staffing accordingly?
When do we need to run promotions and when should we avoid them?
When will demand for certain products on my grocery shelf be high and when it decline?