Abstract: There is provided a computer-implemented method of providing price recommendations for beverage dispensing facilities, the method comprising: receiving signals indicative of beverage dispensing at least at one beverage dispensing facility from at least one beverage dispensing sensor which monitors the at least one beverage dispensing facility and generates the signals; automatically analyzing the signals for calculating a statistical pattern of beverage consumption at the at least one beverage dispensing facility; automatically generating a price recommendation profile for the at least one beverage dispensing facility according to the statistical pattern; and selecting for presentation the price recommendation profile.

Abstract: According to an aspect of some embodiments of the present invention there is provided a method for estimating product demand at one or more target venues, comprising: receiving a plurality local parameters comprising a level of product demand, and a volume of liquid beverage dispensed by at least one liquid dispenser, illumination conditions, audible conditions, number of people in the target venue, and/or identity of staff working at the target venue, and receiving general parameters comprising time of day, date, and/or local weather conditions, substituting at least one parameter in a classifier algorithm, the classifier algorithm calculated to correlate a desired level of the demand for products with the at least one parameter, and the classifier algorithm outputting a recommendation to adapt the at least one parameter to increase the product demand.

Abstract: There is provided a computer-implemented method of providing price recommendations for beverage dispensing facilities, the method comprising: receiving signals indicative of beverage dispensing at least at one beverage dispensing facility from at least one beverage dispensing sensor which monitors the at least one beverage dispensing facility and generates the signals; automatically analyzing the signals for calculating a statistical pattern of beverage consumption at the at least one beverage dispensing facility; automatically generating a price recommendation profile for the at least one beverage dispensing facility according to the statistical pattern; and selecting for presentation the price recommendation profile.

Abstract: A method for sending a text message over a telephone network from a sending device to a receiving device. A set of images (or font) is selected by a user of the sending device. The text message is displayed using the set of images on the sending device as a presented rich content message. The sending device uploads the text message and one or more codes indicative of the set of images to a server operatively connected to the telephone network. A message is transmitted from the server to the receiving device, the message including information of the text message and of the set of images. The message presented on the receiving device is the same rich content message previously presented on the sending device. The rich content message presented at the sending and receiving devices preferably includes sounds associated with the set of images.

Abstract: A method for sending a text message over a telephone network from a sending device to a receiving device. A set of images (or font) is selected by a user of the sending device. The text message is displayed using the set of images on the sending device as a presented rich content message. The sending device uploads the text message and one or more codes indicative of the set of images to a server operatively connected to the telephone network. A message is transmitted from the server to the receiving device, the message including information of the text message and of the set of images. The message presented on the receiving device is the same rich content message previously presented on the sending device. The rich content message presented at the sending and receiving devices preferably includes sounds associated with the set of images.