Abstract: Embodiments of a search stemming module at a computer configured to receive a query and identify stems from the query and configured to search a secondary index for variants corresponding to the stems are disclosed. The secondary index may comprise one or more lists of stems associated with variants from a primary index; a search reconfiguration module configured to reformat the query to include variants found from the secondary index; and a search engine configured to implement a search of the primary index using the variants received from the search reconfiguration module.

Abstract: Embodiments of a system for searching text indices for suffixes are disclosed. Embodiments may include a suffix searching module at a computer configured to receive a query and identify the query as a suffix query, extract a suffix from an identified suffix query and reverse an order of characters in the suffix, and search a secondary index for terms corresponding to the reverse-ordered suffix, the secondary index comprising one or more lists of reverse-ordered terms from a primary index; a search reconfiguration module operably coupled to the suffix searching module and configured to receive from the suffix searching module found terms corresponding to the reverse-ordered suffix and reverse an order of the characters of the found terms; and a search module configured to implement a search of a primary index using reverse-ordered found terms received from the search reconfiguration module.

Abstract: A method and system are provided for estimating consumer demand at remotely located equipment and establishing dispatch schedules for servicing the remotely located equipment. Data from the remotely located equipment may be classified into a hierarchy or various levels of reliability for use in calculating a consumer demand estimate for each product and/or each service available at the remotely located equipment. A full set of sales data for each product or service over multiple time intervals with no equipment problems, no out of stock conditions and no other operating problems may be classified as the highest level of reliability and predictability possible for calculating a consumer demand estimate. The lowest level of data used to calculate a consumer demand estimate may be a historical average of daily sales for all products or services sold over a long period of time at the remotely located equipment.