Section 17

Workforce Data Becomes Workforce Intelligence

A layered architecture from raw data, through analytics, into recommendations and machine-learning outputs.

Data Layer
L1
Worker profilesQualificationsCertificationsLocationsShift requirementsCompleted shiftsRatingsFeedbackAttendanceCancellationsAccepted workersWorker preferencesBusiness preferences
Analytics Layer
L2
Qualification analysisWorker suitabilityPerformance analysisReliabilityFuture availabilityDemand patternsFulfilment performanceBusiness preference analysis
Intelligence Layer
L3
RecommendationsPersonalised matchingWorker prioritisationFuture shift selectionBusiness workforce optimisationEmployment opportunity improvement
Patent Position

The specification describes storing workforce data, creating a repository for reporting and analysis, training machine-learning hardware and producing predictions and recommendations.

Instawork Functionality

Instawork publicly describes matching driven by worker experience, qualifications, certifications, ratings and real-time shift feedback, referencing billions of data signals used to optimise worker and business connections.

A layered AI and data architecture — ingestion, features, models, and decisioning — supports the claimed ranking and matching behavior.
AI & Data Architecture · Caption

A layered AI and data architecture — ingestion, features, models, and decisioning — supports the claimed ranking and matching behavior.

Ratings
Section 16 / 23
Broader