Foodspark - Food Data & insights

  In 2024, the restaurant industry is in the middle of a restructuring fuelled by data, AI, and analytics. The sector is favoring data-driven approaches and technologies that power up data analytics. The data-first mindset in the restaurant industry is gaining traction, especially after 2020. Today’s restaurant businesses are trying to find avenues to acquire insights such as  restaurant location data ,  restaurant delivery analytics , and many more to decide future actions. This shift toward restaurant data analytics is healthy and proving to be highly profitable for restaurant owners relying on restaurant analytics to make key business decisions. The rise of third-party food delivery apps, cloud kitchens, and take-out-only restaurants (ghost kitchens) in the last few years points towards the shift from dining to delivery. To capitalize on this trend, even traditional restaurants have joined the delivery platforms to start online food deliveries. Many restaurant chains h...

  Restaurant review analysis is the process of looking through customers’ comments online. This involves expressing comments on rating websites such as Yelp, social media posts, and forums. In doing this research, my aim is to receive practical help that can help restaurants improve their services and thus deliver happiness to all customers. Businesses opt for various approaches, like sentiment analysis, topic modeling, and trend spotting, to succeed in scraping restaurant reviews for effective analysis. Text polarity analysis reveals whether reviews are negative, positive, or neutral, giving an idea about what customers like or dislike about what they eat and whether they like or dislike the services and pricing. The so-called topical model allows us to determine the standard topics in reviews (dish or, for instance, cleanliness); then, restaurants will know the issues over which they should work. Spying trends can be used to see any patterns through time, such as a scenario when ...