1 person came in and filled up their hot container with hot water. walked to the back of the room, then returned to the drink station, took his container, left through the front door. wearing wireless earbuds and looking at phone. --
2 people came in together, made disaoppinted sounds at the front boxes, rummaged through the back boxes. Left through the front door, no stopping at the drink station. --
1 person in navy sweater and holding ice skates came in, looked directly in the back boxes, ignoring the front boxes, and left through the back door. --
This was from a friend who worked adjacent predictive analytics for Prime Fresh, who was complaining to me about how frustrating bananas were to account for, but how they can't just exclude them because if you're not able to cover a substantial enough portion of the consumer's shop, then you're not doing their job, and they end up in a supermarket to complete the shop anyway, and you lose sales you would've otherwise had. --
1 person came in and sat down at the table behind me. it sounds like they're getting set up to work on their laptop. did not look for bananas that i noticed. --
The photography book Hungry Planet[1] by Peter Manzel shows what 30 families around the world typically purchase in groceries. Looking at them is almost like an exercise in find the bananas. A few of the families do not have bananas, but no other food is as common in the pictures. [1] [http] --
2 persons, 1 adult and 1 child of about 5-7 came through and looked in both the front and rear boxes. The child made disappointed sounds as they left through the rear door. --
From my days working in software for the retail market about 20 years ago, we had to build functionality to allow the exclusion of bananas and milk from our predictive analytics application because EVERYBODY bought them. Probably over 99% of retail grocer transactions contained them. --
2 people came in together, looked for bananas. One considered getting a drink, but put the cup back. One retrieved a forgotten phone charger from by the front couch. They left. --
Back door is closed, someone's preference. Three people working in the back of the space. One towards the front. Lights are on. Drink station is neat and clean. It is warm. Thank you.
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Bananas are the most-sold item at most grocery stores and, notably, Wal-Mart.
Bananas also have the highest standard deviation in terms of predicting if a given (known) consumer will purchase bananas in a given store run. (At least as compared to other food products and consumables.) When predicting a consumer's shop, it's generally pretty easy to make a highly educated guess about their purchasing activity and, thus, to project volumes for products. But bananas defy that wisdom, except that people in aggregate buy a lot of them. Someone who buys bananas reliably every week for months will randomly stop for months, and then start again, for no perceivable rhyme or reason. Bananas aren't seasonal purchases like berries or corn or other fruits or vegetables. Bananas also tend to be a high purchase at gas stations and convenience stores. Bananas have to be effectively "tricked" into continuing to ripen after being prematurely picked and then refrigerated for transit. So there are banana ripening centers that pump ethylene through a chilled chamber to get them to ripen. --
I roam the nooks and crannies I eat whats left behind I know some Lisp and Python and learned how to derive Dont bother me, please let me be the smartest mouse at MIT
I dont have any xxxxxx I do no xxxxxxxxxx You wont see much of movement Just the sound of keyboard perk I still respect authority the smartest mouse at MIT
Sometimes I get a lonely I wish to have a friend But just to have no enemy Is good enough in the end Big mouse in sky provides for me the smartest mouse at MIT
Some traps been set are dangerous I smell them from afar Some mammals can be treacherous And leave one with a scar Still, I persist, and do not flee the smartest mouse at MIT
I miss the woods and prairies My friends Ive left behind At least I have bananas They keep me occupied I'll count the boxes to a tee the smartest mouse at MIT
At night I take my mask off I run between the chairs Whatevers fallen during the day Becomes my feast. Hooray! Are these leftovers left for me? the smartest mouse at MIT?
The other mice my neighbors I know them all by name And when I see the roaches I nod and bow my mane Unanimously all mice agree the smartest mouse at MIT
The janitors are kindly They know how life can be The only thing I fear sometimes are shadows from the trees Don't have a xxxxxxxx or an xx the smartest mouse at MIT
I don't hold any Bitcoin Because it can't be eat' I'll say this much about it though, the tech is very neat! Please, xxxxxxx, just let me be the smartest mouse at MIT
I've yet to meet ol' Timmy who's spoken of so much Perhaps out by the river Is where I'll serve him lunch You'll know my name when you see me The smartest mouse at MIT
The sun I dont know much of Id rather sleep and see A dream of a little duchess With whom to share my glee Just for a minute, I can be the smartest mouse at MIT
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