Coming-soon signage is now up here at No. 229 between 13th Street and 14th Street.
You may have read about the Everytable business model, which uses sliding-scale pricing depending on the neighborhood's median income.
Here's more about the company, founded in 2013:
Everytable’s business model drastically reduces the costs of the standard restaurant model. Chefs at our local kitchen turn fresh, wholesome ingredients into delicious meals, which we sell through our small, grab-and-go storefronts.
From start to finish, everything is designed to be super-efficient, and the savings are reflected in our prices. We have locations in food deserts, underserved communities with little or no access to nutritious food, and in affluent areas. To ensure that everyone can afford our meals, we price them according to the neighborhoods we serve.Everytable also offers a "pay it forward" program, which allows people to purchase meals for someone in need. No word on an EV opening date.
This storefront was previously East Village Fruit & Vegetable, which closed in 2018.
This is a neighborhood with big disparity in income, so median number might be a misleading figure.
ReplyDeletePumped for this!
ReplyDeleteExcellent comment regarding the East Village disparity in income. Perhaps this business will live up to their people-conscious approach and use the sliding-scale pay idea at the individual level. Bring in a pay stub or provide an ebt card and then Everytable will adjust the clients pricing.
ReplyDeleteAt the end of the day this is a national business that is designed to make money, not help people. Their approach reminds me of TOMS shoes gimmick that was out a few years back.
In 2020 Everytable's revenues jump from $6million to $36million.
Which may be why the company seems to be making an effort to address the issue by utilizing the median income (instead of the mean) as: "It's best to use the mean when the distribution of the data values is symmetrical and there are no clear outliers. It's best to use the median when the distribution of data values is skewed or when there are clear outliers." Also, the making money would be important in the "helping people" part. Just a couple of different perspectives.
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