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              Uses the latest technology in artificial intelligence, machine
              learning, and behavioral engineering to run stores at peak
              efficiency and increase repeat customers.
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              Multi-tiered customer loyalty system. More customers spend, the
              more rewards they get.
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              Prints "use it or lose it" customer rewards coupon when preset
              reward amount is reached.
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              Set rewards expiration and send auto reminder to customers via
              email or text message. For example, "Hey Jenny, your customer
              reward of $10 is expiring at the end of the month. Why don't you
              stop by and get your favorite caramel latte?" (JKRestaurant
              already knows caramel latte is her favorite drink)
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              Sends auto reminders to customers via email or text message when a
              preset reward amount is reached. For example, "Hey Jenny,
              congratulations! You have earned a customer reward of $10. Why
              don't you stop by sometime? Here's a coupon to buy 2 coffees and
              get 1 free." (JKRestaurant already knows Jenny usually comes with
              another friend. This coupon leads Jenny to bring another potential
              customer.)
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              Analyzes which customer is most repeated customer. Then take
              actions to keep these important customers.
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              Helps customers to develope a habit to visit your store more
              often. For example, if customer is only visits in the morning, it
              can issue a "afternoon coffee" coupon.
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              Predicts customer's demographic such as single, married with
              family, usual visit time, average spend amount, visit frequency,
              etc and suggest customized, most likely effective coupons. For
              example, if a customer seems to have a family, JKRestaurant
              suggests "Family Dinner Special."
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              We can even figure out if customers usually visit alone or with
              friends.
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              Gently nudge customers to give more tips.
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              Compares with other customer's orders and suggests an item the
              customer never tried but might like. JKRestaurant can let you
              know, when customers orders and employee can suggest a sample of
              that item.
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              Predict item sales demand based on past data, weather, holidays,
              etc. For example, JKretaurant suggest "it's likely about 3200 Big
              Macs will be sold this week."
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              Print customer satisfaction survey with coupon.
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              Checks how well the restaurant is operated and suggest
              improvements.
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              Analyze items sales and checks and suggests good/bad item trends.
              It can even text you if there's decline in popular menu item sales
              after chef change.
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              Many ways to make a customer's visiting experience special.
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