Abstract: A dynamic reconfigurable logistics environment can be combined with autonomous systems using a space-time volume-based resource allocation approach that permits dynamically changing paths of travel. This approach can enable a more flexible approach to the dynamic real-time reallocation of unused, unlocked resources whenever new resource requests are received, preventing blocking of later-received, more-difficult-to-allocate requests by earlier-received, less-difficult-to-allocate requests such that all resources as well as the paths of travel remain changeable and dynamic. Resource allocations can be subject to an autonomous system condition check, which can determine whether autonomous systems can perform tasks associated with the allocated resources, given the spatial layout of the resource and pathway allocation. An execution component can management the performance of the tasks by the autonomous systems within the dynamically changing environment.

Abstract: In one aspect, the present invention provides a computing system for effecting an optimised condition for one or more booking requests in a venue having one or more spaces, comprising an allocation module executing on a processor and arranged to retrieve the booking requests from a database containing a plurality of booking requests, the booking requests including requestor constraint information regarding one or more constraints provided by the booking requestor including a predefined service period, and retrieve venue constraint information from a database, the venue constraint information including venue spatial information and furniture spatial information, wherein the allocation module executes an allocation algorithm that utilises the booking information and the venue constraint information to assess the capacity of the one or more venues and allocate a portion of space for each booking request to satisfy the optimised condition utilising the assessment, to derive an optimised allocation instruction set

Abstract: In one aspect, the present invention provides a computing system for effecting an optimised condition for one or more booking requests in a venue having one or more spaces, comprising an allocation module executing on a processor and arranged to retrieve the booking requests from a database containing a plurality of booking requests, the booking requests including requestor constraint information regarding one or more constraints provided by the booking requestor including a predefined service period, and retrieve venue constraint information from a database, the venue constraint information including venue spatial information and furniture spatial information, wherein the allocation module executes an allocation algorithm that utilises the booking information and the venue constraint information to assess the capacity of the one or more venues and allocate a portion of space for each booking request to satisfy the optimised condition utilising the assessment, to derive an optimised allocation instruction set

Abstract: In one aspect, there is provided a computer-enabled method for optimising and allocating bookings to one or more spaces, the method optimising bookings to increase the probability of achieving a selected outcome. In one embodiment, the invention is directed to an online restaurant booking system that utilises an artificial intelligence engine to optimise the use of space, time, and other operational considerations of a restaurant in order to optimise desired outcomes which may include optimising capacity, ambiance, preferred seating allocation, extended booking duration times, variable and dynamic pricing options, menu and course options and other quantitative and qualitative criteria.

Abstract: In one embodiment, there is provided a computer-enabled method for creating a volumetric space/time framework of constraints for the dynamic allocation of a booking request to one or more spaces in a venue. In one embodiment, the invention is directed to a computer-enabled method including a user interface accessible via a remote device such as a Point of Sale device, wherein the Point of Sale device is arranged to receive an interactive, real-time, dynamic floor plan including allocated and unallocated bookings, table numbers, chair position numbers and interact with a restaurant operator or operators.

Abstract: In one embodiment, there is provided a computer-enabled method for providing differentiable product and/or services offerings to a booking requestor via a booking allocation algorithm utilising a volumetric space/time framework to allocate bookings using a booking allocation algorithm, comprising the steps of, associating one or more spatial, product and service attributes with each one of one or more spaces within the volumetric space/time framework, whereby the one or more attributes associated with the each one of the one or more spaces define at least one of a physical and qualitative attribute of the each one or more spaces, associating one or more products with the each one of the one or more attributes to create the differentiable set of products.

Abstract: In one aspect, the invention provides a computing system for optimising and allocating bookings within one or more spaces in a venue, comprising an allocation module including an optimisation algorithm in communication with a processor and arranged to receive at least one booking request for a table or table combination and communicate with a database of other saved booking requests, retrieve the saved booking requests and combine the at least one booking request with the saved booking requests to form a pool of requests, retrieve constraint information and iteratively allocate each of the requests from the pool of requests to a table or table combination utilising the constraint information, wherein an optimised allocation instruction set of allocated bookings is produced.

Abstract: In one aspect, the present invention provides a computing system for effecting an optimised condition for one or more booking requests in a venue having one or more spaces, comprising an allocation module executing on a processor and arranged to retrieve the booking requests from a database containing a plurality of booking requests, the booking requests including requestor constraint information regarding one or more constraints provided by the booking requestor including a predefined service period, and retrieve venue constraint information from a database, the venue constraint information including venue spatial information and furniture spatial information, wherein the allocation module executes an allocation algorithm that utilises the booking information and the venue constraint information to assess the capacity of the one or more venues and allocate a portion of space for each booking request to satisfy the optimised condition utilising the assessment, to derive an optimised allocation instruction set

Abstract: A computing system for optimising and allocating bookings within a venue having one or more spaces, comprising an optimisation module in communication with a processor and arranged to receive at least one request for allocation of a booking to spaces in the venue and communicate with a database to determine whether other requests for allocation have been made by other requestors, and to retrieve information regarding the other requests and combine the at least one request with the other requests to form a pool of requests, retrieve constraint information regarding the venue, dimensions of one or more available furniture items that may be allocated, and allocates the each request to the optimised allocation to produce an optimised allocation instruction set.

Abstract: In one aspect, the invention provides a computer enabled method for optimising and allocating booking requests, comprising the steps of, at a computing system including at least one software module arranged to allocate bookings autonomously to one of a table or table combination, electronically receiving a booking request via a network, the booking request including constraint information including a plurality of constraint values associated with one of the venue and the requestor, and for each received booking request, the module categorising the booking request into one of at least two categories selected from a group of categories including a selection category including constraint information identifying a specific table or table combination, and a non-selection category, and for each of the at least two categories, the module utilising an iterative method to analyse the constraint information and allocate the booking request to the table or table combination.