Workspace Reservation System Geolocation Matching
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Solution Overview
Problem
Current systems lack a convenient method for matching meeting hosts with available physical workspaces that are optimally located for attendees, leading to underutilization of commercial real estate and increased travel times, which affects productivity and flexibility.
Innovation Solution
A reservation management system that correlates user geolocations with available workspace geolocations to suggest suitable workspaces based on specified parameters, updates availability data, and generates digital calendar invitations for meeting attendees.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a marketplace system is implemented to match meeting hosts with available workspaces based on geolocation, then workspace utilization is improved and travel time is reduced, but system complexity increases
Solution Approach 1:
The patent introduces a reservation management device as an intermediary system that bridges meeting hosts and available workspaces. This device collects workspace parameters, determines user geolocations, filters workspaces based on correlation between user locations and workspace locations, and presents optimized options. The intermediary handles the complex matching logic centrally, improving workspace utilization without requiring complex changes to individual user devices or workspace systems.
2Loss of time
If workspace reservation system collects and processes geolocation data for multiple users, then travel time optimization is improved, but data processing requirements and system complexity increase
Solution Approach 1:
The system performs preliminary actions by obtaining and storing workspace parameters including geolocation data before actual meeting reservations are made. User geolocations are determined in advance, and the system pre-filters workspaces based on the correlation between user locations and workspace locations. This preliminary processing reduces the computational burden during actual booking and minimizes travel time without requiring complex real-time processing.
3Measurement precision
If the system filters and correlates workspace plurality based on user geolocations, then location optimization is improved, but computational requirements increase
Solution Approach 1:
The system applies local quality by focusing computational efforts on geographically relevant workspaces. Instead of evaluating all workspaces globally, the system correlates user geolocations with workspace geolocations to identify and filter only those workspaces within acceptable distance thresholds. This localized approach improves location matching precision while significantly reducing computational power requirements by eliminating irrelevant options early in the filtering process.
Data Source
AI summary
Methods, non-transitory computer readable media, and reservation management devices are disclosed that obtain workspace parameter(s) from a client device after authenticating a user of the client device. User geolocations are determined for the authenticated user and registered user(s) identified by the authenticated user. Workspaces are filtered based on a correlation of the user geolocations and workspace geolocations for the workspaces to identify a subset of the workspaces. The workspaces are determined to satisfy the workspace parameter(s) based on workspace data for the workspaces. A selection of one of the subset of the workspaces is received from the authenticated user. Availability data for the one of the subset of the workspaces is updated based on a time window input by the authenticated user. A digital calendar invitation is then generated and provided to the client device and/or other client device(s) associated with one or more of the registered user(s).