The result was keep. (non-admin closure) ~ Aseleste (t, e | c, l) 08:15, 25 April 2021 (UTC)
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Fails WP:NCORP most sources are just mentions or funding announcements. Sanketio31 (talk) 20:47, 17 April 2021 (UTC)
Referring to iFood, the book notes: "The app is a marketplace for restaurants in Brazil, Argentina, Colombia and Mexico delivering over four million orders monthly from 15,000 restaurants to final consumers. iFood became a synonym of food delivery in Brazil." The book notes on page 94: "Movile launched several other apps during this phase with different success levels. The other remarkable success was iFood. Launched in 2014, it became the absolute leader in Brazil and is currently present in Argentina, Colombia and Mexico. Today, 80% of meals delivered via apps in Brazil are done via the iFood platform (Marzochi 2016)." The book discusses on page 98 that mergers and acquisitions with other local apps "fueled" "its path to leadership". Those apps included Hello Food, Papa Rango, and Central Delivery.
https://bjopm.emnuvens.com.br/bjopm/article/view/427 notes, "This work is licensed under a Creative Commons Attribution 4.0 International License." This means the article is free content.
The journal article notes:
One of the best-known apps is the Brazilian iFood (it’ll will be called iF), launched in 2011, which gives its users access to the restaurants closest to their location, menus, photos, prices, comments and notes about dishes already ordered. The company's forecast is to reach 5 million orders served in 2017. ... Based on materiality theories and the concept of distributed cognition, it was proposed to analyze the iFood and UberEats applications.
In the introduction to the iFood app, there is a suggestion that the location feature be activated to find the restaurants closest to the client. It is worth mentioning that this is only possible due to the material resources of the application with geolocalizers. The second step inside the app is the per-mission to receive notifications in order to notify the customer when the request has been confirmed. Once again, the story speaks, since without satellite connections from the servers there would be no communication between iFood and restaurants. After selecting these initial settings, the client visualizes the content in a red and white interface, divided into “Next”, “Japanese”, “Snack” and “Pizzas” categories. At the top, there is still a search field in case you want to type the name of a specific place. As an example, if we click on pizza, the app will show us a list with different places, their logos, the distance of each one of them and the average delivery time. It is worth noting that in iFood not all dishes have a photo, a materiality that can, indeed, be decisive for the choice between certain types of food. On the right hand side are the ratings of other customers, with a score of up to five stars, and it generates an overall average of all those who have left their opinions. Unlike the iFood website, in the application it is not possible to read users’ comments, but only see the number of stars. In the subsection “Best rated”, there are only establishments with a mark higher than 4.5. It is worth pointing out that this tool is used as a surveillance and punishment resource (Foucault, 1997), with differences in the disciplinary societies described by Foucault.
... It is also worth mentioning that iFood has the “Discover” field divided into “Promotion”, “Newbies here”, “Free delivery”, “Best value for money”, “Trendy”, and “Close to you” subsections. With these divisions, it is noticed that the materialities of the application, that is, the way it is divided, can totally change the course of those who were interested in Japanese food and, by selecting the field “Promotion”, end up opting for Arab food. Or even the layout of the content increases the possibilities of a particular customer, causing him to discover the food of some establishment that never appears by selecting the subsection “ Tá na moda” or “ Novatos por aqui”. The materiality of iFood also allows tracking the client’s eating habits, since the design of the application makes a history of what has already been consumed. This data can be used by both the app developers to perfect it and by the customers, who keep records of what they have already eaten.
The article notes (from Google Translate): "Alone, iFood already received more than 600 thousand orders per day in 2019. ... While governments took isolation measures, iFood fired messages encouraging couriers to get out more. ... On March 16 and 17, when states and municipalities were already taking steps to encourage the isolation of the population, iFood fired at least five messages encouraging couriers to work harder. ... Images like a deliveryman sunk to his knees in a sea of mud during a storm in Belo Horizonte, crossing the flood with the iFood backpack on his back without any protection, show the precariousness to which they are subjected."
The article notes (from Google Translate): "The first term searched on the Google Trends platform was 'iFood', which led to the indication of the most searched phrases by Internet users with this term, such as "iFood coronavirus", "iFood portal enter" and "iFood cadastr company". ... [discussion about how iFood receives over 600,000 orders every day in 2019] ... In a decision taken by the Public Ministry of Labor (MPT), companies such as iFood and Rappi, the latter that also works with food service, should not interrupt the payment of the delivery man who was contaminated by the Coronavirus."
The article notes, iFood, which serves 7.2m customers a month, has grown to a valuation of more than $1bn, making it a “unicorn”. ... Until 18 months ago, restaurants on iFood were responsible for delivery. Today, 20% of its orders are delivered by iFood — meaning restaurants that have never done takeaways before can list on the platform. Using artificial intelligence, iFood has even started to predict orders, allowing restaurants to prepare dishes before customers have got in touch. ... These innovations have enabled iFood to reduce delivery times from an average of 40 minutes to 28. ... IFood made sales of £123.8m last year, an increase of 91.9%, driven by a doubling of orders. It is 16 times the size of its nearest competitor."
The article notes, "Lockdown measures have drawn more demand for delivered food in Latin America's largest economy. Brazil's iFood is the market leader, followed by Colombia's Rappi and Uber, which are larger companies but more prominent in other countries."
Cunard (talk) 10:08, 18 April 2021 (UTC)
MercoPress and Reuters called iFood the "market leader".
The Times said of iFood, "It is 16 times the size of its nearest competitor."
Cunard (talk)