Food labels are such a mess the government is redesigning them. Ingredient lists are so confusing you need a doctorate in food science to decipher them. A shopper could spend hours in a grocery store squinting at, calculating, comparing and contrasting, and still not get it right. ShopWell is trying to help by allowing consumers to scan food labels and receive comprehensible, personalized information.
Here’s how it works. Register for ShopWell, and note your age and gender. Add your goals (General health? Or are you fighting osteoporosis? Do you have diabetes?). Then, note what you want in your diet, such as protein or iron, and what you want to minimize (added sugar, say). Add your allergies and intolerances, and start scanning.
ShopWell algorithms, which its parent company says were developed with input from dietitians, Stanford University statisticians and guidelines from the Institute of Medicine (the health arm of the National Academy of Sciences), will crunch the numbers, crosscheck the preferences and spit out a simple color-coded ranking: green for a food that is good for you; yellow for foods you can enjoy in moderation; and red for foods you should avoid. It also will suggest foods that might be a better fit.
The results are easily deciphered, and the interface is clean because it’s not cluttered with ads. Instead, ShopWell makes money by selling data to supermarkets. Its database contains 350,000 products, the app has been downloaded 1.3 million times, and the company claims a scan every two seconds “in stores as diverse as Wal-Mart, Whole Foods and 7-Eleven,” in the words of marketing manager James Allgood.
