U.S. Patent Position Review — 19/476,586
DATA COMMUNICATIONS NETWORK AND METHOD FOR PROVIDING TASK SCHEDULES TO SERVICE PROVIDERS
Published international application: PCT/AU2024/050370 / WO2024216337A1
Section 24
Company-Level Executive Conclusion — Taskrabbit
The closing conclusion of the Taskrabbit review. It is written to be read on its own by legal, intellectual property, technology and corporate-development readers, and every statement here is supported by a function page and an evidence record elsewhere in this portal.
Executive Finding
Taskrabbit's publicly disclosed technology performs the capture, capability, geography, availability and schedule-transmission stages of the architecture in the same operative order, while the determination layer above those stages — duration intelligence, provider determination, multi-task construction and predictive use of history — is either human-mediated or not publicly established.
5
Strong Technical Alignment
5
Partial Alignment
2
Material Technical Alignment
1
Insufficient Public Evidence
1
Patent Architecture Extends Beyond Observed Functionality
What the Review Establishes
- Structured provider capability, geographic working region and declared availability all operate as constraints on which providers may be presented, which is the operative role the architecture assigns to them.
- A confirmed schedule is generated and transmitted to the provider, and the same pipeline is reachable programmatically through the partner estimate, availability, bid, book and project sequence.
- Historical performance is held and is stated to influence result ordering, so the data foundation for performance-informed scheduling exists.
What the Review Does Not Establish
- No public source establishes a system-determined estimate of the time required to complete a task; price estimation is not treated as evidence of duration intelligence.
- No public source establishes geographic clustering, travel-time calculation, provider-day sequencing or route optimisation.
- No public source establishes AI operating within the matching, duration or scheduling path; third-party assistant integrations are recorded separately from native capability.
- Final provider determination rests with the customer. On the public evidence Taskrabbit recommends and ranks; it does not automatically select.
Where the Architecture Extends Beyond Observed Functionality
Absence of public evidence is not evidence of absence. The functions below are recorded as areas where the architecture reaches past what Taskrabbit has publicly established, not as findings about the company's internal technology stack. See Architecture Beyond Observed for the full treatment.
- AI-assisted, historically informed determination of task duration.
- Multi-task schedule construction with clustering, travel time and sequencing.
- Automated rescheduling, substitute-provider selection and schedule reconstruction after disruption.
- System-determined provider selection producing an issued schedule without a human choice step.
Commercial Significance
- The stages that are strongly aligned are the ones a marketplace cannot operate without; the stages that are not established are the ones that determine utilisation economics.
- Every commercial pressure in this sector — same-day fulfilment, retail-originated volume, assistant-driven booking — pushes toward the determination layer the architecture already addresses.
- The same functional taxonomy used here applies without modification to Angi / Handy and Thumbtack, which makes the comparative section directly readable against this conclusion.
Recommended Next Steps for the Reviewing Team
- Read this conclusion against the claims as filed; every patent position in this portal is stated at architecture level and separates claimed elements from specification disclosure.
- Where a function is marked Insufficient Public Evidence, treat it as an information request rather than as a finding.
- Refer any statement labelled Potential Future Patent Development to patent attorney review before it is relied upon.
Questions for Taskrabbit Technical Review
These questions are not phrased as accusations. They identify the information required for a deeper technical assessment.
Q1How does Taskrabbit determine the Tasker population displayed for a customer request?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q2Precisely how are skills and experience represented computationally?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q3How is Work Area data compared with customer task location?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q4How is Tasker calendar availability processed?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q5How are real-time appointment windows generated?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q6Does Taskrabbit calculate expected task duration?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q7If so, how is duration calculated?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q8Is machine learning or AI used?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q9Does predicted duration influence appointment availability?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q10Does Taskrabbit construct a multi-task daily Tasker schedule?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q11Are multiple customer jobs geographically optimised?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q12Is travel time between tasks considered?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q13Is traffic data considered?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q14Do previous completion times affect future scheduling?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q15Do ratings or business metrics influence scheduling as opposed to search ranking?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q16How does Taskrabbit determine replacement Taskers following cancellation?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q17Are replacement recommendations algorithmically ranked?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q18Can Partner API bookings automatically result in Tasker allocation?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q19How is Tasker availability reconciled with external Partner bookings?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q20Does AI currently operate beyond service discovery?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Q21Is Taskrabbit developing autonomous or agentic scheduling functionality?
Information required from Taskrabbit technical personnel. The public evidence reviewed in this portal does not resolve this question.
Commercial Review Framework
These dimensions are scored separately and are deliberately not combined. No infringement score is produced anywhere in this portal.
Technical relevance
High
Evidence quality
High — primary sources
Strategic relevance
High
AI trajectory
Increasing
Commercial scale
Material
Patent differentiation
Concentrated in orchestration
Recommended Next Review
- U.S. Patent Counsel
- Claim Construction
- Taskrabbit Evidence Matrix
- Prior Art / Validity Context
- Technical Expert Review
- Commercial Relevance Assessment
- Potential Engagement Strategy
This portal itself remains a technical and commercial positioning analysis.
Company Engagement Position
- Step 1 — Present the patent architecture.
- Step 2 — Present verified Taskrabbit public functionality.
- Step 3 — Show the observed technical correspondence.
- Step 4 — Show areas where the patent architecture may extend further.
- Step 5 — Invite technical and IP discussion.
- Step 6 — Determine whether licensing, collaboration, acquisition, partnership or another commercial structure warrants discussion.
Final Taskrabbit Position
TASKRABBIT REPRESENTS A HIGH-PRIORITY TECHNICAL REVIEW TARGET
The significance lies not in the operation of a home-services marketplace but in the combination of publicly evidenced functionality: provider capability, geographic operating areas, provider availability, customer task and location information, algorithmic provider filtering, customer provider selection, programmatic appointment availability and digital scheduling and booking infrastructure. Those areas intersect materially with important components of the architecture examined in this review, while important differences and unresolved areas remain \u2014 particularly around AI-derived duration, multi-task schedule generation, travel optimisation, historical-performance-driven scheduling and autonomous orchestration.
Next Company Reviews
Taskrabbit
Detailed review complete
Angi / Handy
Next review
Thumbtack
Pending
United States Patent Application No. 19/476,586 — "DATA COMMUNICATIONS NETWORK AND METHOD FOR PROVIDING TASK SCHEDULES TO SERVICE PROVIDERS"
Technical alignment is an analytical assessment of publicly observable functionality and does not constitute a legal conclusion regarding infringement.
This portal provides a technical and commercial patent-positioning analysis based on publicly available information. It does not constitute a legal opinion regarding patent infringement, validity, enforceability, claim construction or freedom to operate. Legal conclusions should be determined by appropriately qualified patent counsel.