Enterprise Resource Tracking for Real-Time Availability and Communication
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Solution Overview
Problem
Employees in large enterprises often lack insight into resource availability and schedules within unfamiliar facilities, leading to inefficiencies and missed opportunities for communication and collaboration due to unscheduled changes and lack of real-time tracking systems.
Innovation Solution
A system utilizing tracking devices and data collectors to monitor resource locations and availability, integrated with a server and database to provide real-time updates and notifications, enabling employees to efficiently access and manage enterprise resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If employees rely on visual cues and local knowledge to determine resource availability, then they can quickly assess availability in familiar facilities, but employees cannot determine availability in unfamiliar facilities
Solution Approach 1:
The patent introduces a centralized digital system (database, server, mobile device) as an intermediary that stores and transmits resource availability information between facilities. This mediator enables employees to access real-time information about conference rooms, equipment, and colleague availability in unfamiliar facilities without relying on local visual cues or prior knowledge.
Solution Approach 2:
The patent replaces the mechanical/physical system of visual observation (looking at lights, office occupancy, conference room signage) with an electronic information system. Mobile devices transmit and display digital data about resource availability, substituting the need for physical presence and visual assessment in facilities.
2Productivity
If employees are co-located in the same facility, then they can have spontaneous communications and collaborations, but employees traveling between facilities miss these opportunities
Solution Approach 1:
The system performs preliminary actions by proactively notifying employees of available resources and colleague availability before they arrive at facilities or before communication opportunities arise. The mobile device sends notifications about open conference rooms, available equipment, and colleagues who are currently available, enabling employees to plan and initiate communications in advance.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors and updates resource availability status, then communicates this information back to employees in real-time. This feedback loop enables dynamic adjustment of communication and collaboration plans based on current facility conditions and colleague availability, even when employees are traveling between locations.
3Loss of time
If employees use scheduled meetings for all communications, then communication time is optimized, but spontaneous collaborations and impromptu discussions are lost
Solution Approach 1:
The patent introduces dynamic flexibility to the communication system by enabling employees to switch between scheduled and spontaneous communications based on real-time conditions. The mobile device allows employees to check current resource and colleague availability dynamically, enabling impromptu meetings when resources are available, while maintaining scheduled meetings when planning ahead is necessary.
Data Source
AI summary
An algorithm formulating system for use with a sensing ecosystem for identifying enterprise space states, the sensing ecosystem including a plurality of sensor devices mounted within an enterprise space wherein each sensor device is capable of sensing a plurality of parameters within the enterprise space, the system comprising a processor programmed to perform the steps of accessing a rule set that specifies a first parameter value set that corresponding to a perceived state within a first enterprise space, receiving sensor data from sensor devices within the first enterprise space, comparing the sensor data to the rule set to identify instances of the perceived state, examining sensor data to identify a second parameter value set that occurs at least a threshold percentage of time for the identified instances of the perceived state and using the second parameter value set as the basis for a new rule set to be associated with the perceived state.