Food is one of the most essential necessities of human life. Many businesses, such as restaurants, revolve around food, which is almost a guaranteed profit. However, there is always room for improvement, whether it's enhancing the qualities of one's business or branching out to reach a mass audience. That's where technology comes into play. Nowadays, many companies are providing technology to perfect the food industry, from enhancing the quality of delivery services to improving food planning.

We've all come to appreciate that AI and machine learning are the magic sauce powering large-scale consumer internet properties. Facebook, Amazon and Instacart boast enormous datasets and huge user counts. Common wisdom suggests that this scale advantage is a powerful competitive moat; it enables far better personalization, recommendations and ultimately, a better user experience. In this article, I will show you that this moat is shallower than it seems; and that alternative approaches to personalization can produce outstanding outcomes without relying on billions of data points. How do Instagram and TikTok understand what you like and don't like?

In 1937, two decades after founding his first Piggly Wiggly, supermarket entrepreneur Clarence Saunders opened Keedoozle, a "fully-automated grocery store." Groceries were offered at a steep discount and sample items were displayed in glass cabinets. "To purchase, the customer will insert a key in a hole in the showcase beside the sample article, press a button," TIME Magazine reported at the time. "In the stockroom the proper article will drop on a conveyor belt leading to the cashier's desk. Simultaneously the purchase price is recorded on an adding machine. After all purchases are made, the customer sticks his key into the adding machine, gets his bill. Using another key, the cashier releases the purchases all wrapped for the customer."

All the sessions from Transform 2021 are available on-demand now. Hungryroot, an AI-powered delivery service, hopes to occupy a similar niche for online groceries in the United States. The recommender system uses a collaborative filtering, supervised learning model to match consumer preferences to foods. Customers answer questions about their dietary habits, the kinds of foods they (and family members) like, the family size, budget, and more. On a weekly basis, the Hungryroot algorithm predicts the groceries the customer might like.

Artificial intelligence (AI) is becoming a greater part of multiple industries, including groceries. From product placement on store shelves to pricing adjustments, AI is affecting grocery stores and services across the world. Investments in AI are also increasing as more companies look to technology to remain competitive, and more consumers continue to shop online. Now, Hungryroot, an AI-enabled grocery service, has announced its Series C funding round of $40 million. The company has a $750 million valuation and offers a personalized online grocery service that uses AI and user quizzes.