If he fails to get his D wet, the jerk takes his car instead. In this movie, you barely even see the antagonist after the bet is made anyway, so you forget about that and watch what looks like the hero going from room to room in his own house and apparently walking in on Playboy shoots, as former Playmates such букмекерские конторы подробнее Monique Gabrielle do what they do best - make sexy facial expressions and keep still.
The movie does have one thing going for it, however, and that is Sylvia Kristel. She is the only real actress in the movie. Explore popular and recently added TV series available to stream now with Prime Video. Start your free trial. Find showtimes, watch trailers, browse photos, track your Watchlist and rate your favorite movies and TV shows on your phone or tablet! IMDb More. Keep track of everything you watch; tell your friends. Full Cast and Crew. Release Dates. Official Sites. Company Credits.
Technical Specs. Plot Summary. Plot Keywords. Parents Guide. External Sites. User Reviews. User Ratings. External Reviews. Metacritic Reviews. Photo Gallery. Trailers and Videos. Crazy Credits. Alternate Versions. Rate This. An erotic teenage sex comedy about a year-old high school student obsessed with sex who tries seducing both his beautiful older neighbor and the shy new girl in school over a bet, only to end up falling in love.
Bert I. Anna Paquin Thrives in Crisis on "Flack". Time Killers.
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Private Lessons The Return of Martin Guerre Biography Crime Drama. Bikini Drive-In I Wanna Hold Your Hand Comedy Music Romance. A Petal Deranged Edit Cast Cast overview, first billed only: Lance Sloane Chris Kim Evenson Beth Sylvia Kristel Michelle Ron Thomas Norman Robert Anthony Marcucci Jeff Kenneth Ian Davis Frank John Smith Thomas Stephanie Blake Roberts Eldon Quick Lowell Ermal Williamson Roberts Deanna Shapiro Rita as Deanna Claire Norman Budd Brown Con Covert Certain categories are more elastic than others.
Shirts are very elastic, but outerwear is not, for example.
AI has also helped us analyze what people are buying in certain geographical regions. So take an area around the store and see what people are buying in that zone, and compare that to what you have in that store.
If you do this, you discover some things that can be really strange. For example, in one store in Florida, a lot of our customers were buying shirts and ties. Now, normally, you buy a shirt before a tie.
But 75 percent of people at this store bought a tie first and then looked for a shirt to match it. Then you can take a deep dive and look at why. You speak to the people in the store, you double check the data, and then you are able to connect the dots and dig up the root of the information.
You find things that you never would have thought of or discovered on your own. When were you convinced that AI was important?
We were making fabrics at Marzotto textiles. We had this department, which was fully automatic. The material was coming in and being put in an automated machine, and all the dying was automated. Lead time was very long, four weeks.