Abstract: In some embodiments, apparatuses and methods provide long term scheduling at a plurality of retail stores including storing a forecasted data over at least eight weekly scheduling periods; determining based on the forecasted data a first baseline hours demand value for each day of a week for each job function of a first set of job functions at a particular retail store; determining based on the forecasted data a second baseline hours demand value for each day of the week for each job function of a second set of job functions at the particular retail store; automatically generating a plurality of fixed schedules for a set of task resources at each of the plurality of retail stores; automatically instructing a user electronic device to display a notification indicating that a first fixed schedule associated with a first task resource is available.

Abstract: In some embodiments, apparatuses and methods provide long term scheduling at a plurality of retail stores including storing a forecasted data over at least eight weekly scheduling periods; determining based on the forecasted data a first baseline hours demand value for each day of a week for each job function of a first set of job functions at a particular retail store; determining based on the forecasted data a second baseline hours demand value for each day of the week for each job function of a second set of job functions at the particular retail store; based on the first and second baseline hours demand values, automatically generating a plurality of fixed schedules for a set of task resources at each of the plurality of retail stores; accessing a first fixed schedule associated with the first task resource; and displaying the first fixed schedule.

Abstract: In some embodiments, apparatuses and methods provide long term scheduling at a plurality of retail stores including storing a forecasted data over at least eight weekly scheduling periods; determining based on the forecasted data a first baseline hours demand value for each day of a week for each job function of a first set of job functions at a particular retail store; determining based on the forecasted data a second baseline hours demand value for each day of the week for each job function of a second set of job functions at the particular retail store; based on the first and second baseline hours demand values, automatically generating a plurality of fixed schedules for a set of task resources at each of the plurality of retail stores; accessing a first fixed schedule associated with the first task resource; and displaying the first fixed schedule.

Abstract: A method for an on-site purchase at an automated storage and retrieval system (ASRS) can include: analyzing likely impulse purchases for customers during a given season, the likely impulse purchases being associated with each customer's profile which comprises preferences, purchase history and search history; stocking items for customers to purchase and pick up at the ASRS, the stocked items comprising general and seasonal items, and supplementary items selected based on an analysis of the likely impulse purchases; receiving a customer's order for purchasing an item; detecting a customer's arrival within a predetermined area around the ASRS; offering a subset of the stocked items for the customer to add to the order, updating the order based on customer's purchase selections or declines; completing a payment transaction of the updated order; automatically updating the items for inclusion in the ASRS based on the customer purchase selections or declines.

Abstract: An example security system for an automated locker that stores and dispenses customer orders, include the automated locker including a plurality of sensors and a central computer in communication with the plurality sensors. The plurality sensors can include: at least one smoke detector, at least one camera, at least one sniffer, at least one shock sensor, at least one flood sensor, at least one wind sensor, and at least one fire sensor. The security system may also include a remote server configured to receive sensitive data that is encrypted and/or erased from the central computer upon detecting a hack on the central computer.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to automatically order. In some embodiments, there is provided a system for automatically ordering a product item including at least one first sensor, at least one smart-device interface, a remote database, and at least one control circuit configured to: determine whether a signaling data is received; communicatively couple with the at least one smart device; prompt a user to select; determine whether a previously stored data has been stored; delete the previously stored data; copy a plurality of urgency threshold values; access the first sensed data; access the second sensed data; determine a product item; determine whether the at least one of: the first sensed data and the second sensed data has reached an urgency threshold value; and automatically initiate ordering and delivery of the product item when the urgency threshold value has been reached.

Abstract: In some embodiments, apparatuses and methods provide long term scheduling at a plurality of retail stores including storing a forecasted data over at least eight weekly scheduling periods; first transforming based on the forecasted data into a first baseline hours demand value for each day of a week for each job function of a first set of job functions at a particular retail store; second transforming based on the forecasted data into a second baseline hours demand value for each day of the week for each job function of a second set of job functions at the particular retail store; based on the first and second baseline hours demand values, generating a plurality of fixed schedules for a set of task resources at each of the plurality of retail stores; accessing a first fixed schedule associated with the first task resource; and displaying the first fixed schedule.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to automatically order. In some embodiments, there is provided a system for automatically ordering a product item including at least one first sensor, at least one smart-device interface, a remote database, and at least one control circuit configured to: determine whether a signaling data is received; communicatively couple with the at least one smart device; prompt a user to select; determine whether a previously stored data has been stored; delete the previously stored data; copy a plurality of urgency threshold values; access the first sensed data; access the second sensed data; determine a product item; determine whether the at least one of: the first sensed data and the second sensed data has reached an urgency threshold value; and automatically initiate ordering and delivery of the product item when the urgency threshold value has been reached.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to recommend items. In some embodiments, there is provided a system for recommending items for purchase based on smell of food including a user interface product configured to trigger an odor sensor, prompt a user to provide an indication, receive a location coordinate, and provide a listing of identified chemicals, the indication, and the location coordinate; a main database configured to store a first set of associations and a second set of associations; and a main control circuit configured to determine a filter parameter, determine a filtered set of recipe components from the first set of associations, determine at least one recipe component from the filtered set of recipe components, determine a filtered set of recipes from the second set of associations, determine one or more recipes from the filtered set of recipes, and provide the one or more recipes.

Abstract: A compressor for compressing fluid is provided. The compressor includes a housing having a housing inlet for receiving fluid and a housing outlet for discharging the fluid. A compressing mechanism is adapted to compress the fluid toward the housing outlet. The compressing mechanism is disposed in the housing. A drive unit is operatively connected to the compressing mechanism for driving the compressing mechanism to compress fluid. A suction duct is disposed in the housing. The suction duct extends vertically downward from the housing inlet toward a sump defined in the housing. The suction duct is configured for attachment to a motor housing. The suction duct has a duct inlet fluidically connected with the housing inlet, and defines a passage fluidically connecting the duct inlet with an interior cavity of the housing. A suction gas filter disposed in the suction duct, and having a filter screen positioned downstream of the duct inlet.

Abstract: A compressor for compressing fluid is provided. The compressor includes a housing having a housing inlet for receiving fluid and a housing outlet for discharging the fluid. A compressing mechanism is adapted to compress the fluid toward the housing outlet. The compressing mechanism is disposed in the housing. A drive unit is operatively connected to the compressing mechanism for driving the compressing mechanism to compress fluid. A suction duct is disposed in the housing. The suction duct extends vertically downward from the housing inlet toward a sump defined in the housing. The suction duct is configured for attachment to a motor housing. The suction duct has a duct inlet fluidically connected with the housing inlet, and defines a passage fluidically connecting the duct inlet with an interior cavity of the housing. A suction gas filter disposed in the suction duct, and having a filter screen positioned downstream of the duct inlet.