Ira Lough - North Smithfield RI, US Knowles Sinkler - West Warwick RI, US James Mycroft - Canterbury CT, US
International Classification:
G06F017/00
US Classification:
715517000
Abstract:
A system and method for conversion of data entries input in accordance with a legacy data structure to be in accordance with an industry-standard data structure is disclosed. An extraction utility may generate an extraction class based on a compiler stab information, and the extraction class may extract a data entry input in accordance with a legacy data structure, may convert the data entry, and may output the data entry in accordance with an industry-standard data structure.
Lottery Vending Machine Customization System, Method And Device
- Providence RI, US Devin Patrick Kidman - Austin TX, US Ira Lough - North Smithfield RI, US James Mycroft - Canterbury CT, US Medina Marie Topalian - East Greenwich RI, US
A lottery vending machine customization system, method and device includes at least one local client lottery vending machine and a central server, wherein the vending machine has or is in communication with a payment collection apparatus, a ticket internal entry apparatus and a display. The central server is coupled to the local client lottery vending machine over a network, and can be adapted to issue one or more ticket alignment schemes for display on the vending machine display. The central server can also receive status parameter data from the vending machine or the ticket internal entry apparatus, and can issue one or more revised alignment schemes to the vending machine for display.
- Providence RI, US Paul Fazzano - Providence RI, US Alexander Healy - Glocester RI, US Ira Lough - North Smithfield RI, US James Mycroft - Canterbury CT, US Susan Strouse - Westerly RI, US
International Classification:
G06Q 30/02 G06Q 40/00
Abstract:
A lottery communication system and method employs multiple device types communicating across a plurality of networks. According to various embodiments, the system and method utilizes a plurality of data collection terminals wherein retail sales data may be collected. Such information may then be communicated to a central processing component along with terminal information data specific to each of the plurality of data collection terminals. This terminal information data and retail sales data is supplemented with additional retail information and/or consumer information. Algorithmic processes facilitate analysis and normalization of the data to yield market insights, patterns, and trends across geographic boundaries, store types, and other parameters.