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 12 — TR-12
Task Duration Intelligence
Whether a system-determined estimate of the time required to complete a task exists, and by what mechanism — strictly separated from price estimation.
Executive Finding
No public source establishes that Taskrabbit derives a recommended task duration from AI or from historical completion data; duration appears to originate from customer or provider estimation within an hourly billing model, so this is recorded as NOT PUBLICLY ESTABLISHED.
Observed Workflow
- Task Description
- Category Sizing Option
- Customer / Provider Time Estimate
- Hourly Booking
- Actual Time Billed
Patent Question
Does Taskrabbit publicly establish a function equivalent to the patent's use of one or more artificial intelligence techniques to assign a recommended amount of time required to complete the task?
Patent Architecture Sequence
- Task Information
- AI Technique
- Recommended Amount Of Time To Complete Task
- Schedule Construction
Patent Position
United States Patent Application No. 19/476,586 — "DATA COMMUNICATIONS NETWORK AND METHOD FOR PROVIDING TASK SCHEDULES TO SERVICE PROVIDERS"
Claimed Patent Element
- An amount of time required to complete the identified task is assigned and used in generating the task schedule.
Specification / Embodiment Disclosure
- The specification contemplates the assigned duration being determined with AI assistance and informed by historical data for comparable tasks.
- Embodiments describe the assigned duration constraining which providers can accommodate the task within their available windows.
Potential Future Patent Evolution
Potential Future Patent Development — Subject to Patent Attorney Review.
- Predictive duration conditioned on task attributes, provider history and site characteristics, with continuous correction from completion outcomes.
Taskrabbit Position
- Work is generally billed hourly against the Tasker's rate, with the customer shown an estimate before booking and the final amount reflecting time actually worked.
- Several categories present task size or scope options, which is a coarse proxy for effort rather than a computed duration.
- Customers are advised to describe the task so the Tasker can judge the time needed, which locates the estimate with the human parties.
Public Evidence
Each record below opens the full source entry — extract, publication and access dates, direct URL and archived URL where available — without leaving this analysis.
Technical Alignment
- A duration concept exists in the product, because hourly booking requires some expectation of time.
- Its derivation is not evidenced as system-side. A category default, a provider judgement and a model-derived estimate are three different mechanisms and public material does not distinguish them.
- An estimate expressed in currency is not evidence of a duration model; that inference is deliberately not drawn.
Difference / Gap
- The architecture assigns the duration; the observable product appears to receive it from the parties.
- AI assistance in duration determination is contemplated by the specification and is not publicly established here in any form.
Where Public Evidence Is Incomplete
- Whether an internal category or model-derived duration informs presented estimates is not disclosed.
- Whether completion history is used to correct duration expectations is not disclosed.
- Whether product-specific durations exist for retail-originated assembly work is not publicly documented.
Patent \u2194 Taskrabbit Mapping
| Patent element | Taskrabbit position | Status |
|---|---|---|
| AI-assigned recommended task duration | No public source identified establishing this function | Not Publicly Established |
| Computational estimation from task and location input | Estimate API returns eligibility and estimated price | Partial Correspondence |
| Duration driving appointment generation | Availability API returns date/time windows; derivation not disclosed | Not Publicly Established |
Investigation Checklist
- Is AI duration prediction performed?Evidence Required
- Is historical duration modelling performed?Evidence Required
- Are service-item duration rules applied?Evidence Required
- Is estimated duration entered by the customer?Partial
- Is estimated duration entered by the Tasker?Partial
- Are fixed durations or minimum availability blocks used?Partial
- How are appointment windows generated?Evidence Required
Why This Matters — Two Separate Implications
- CURRENT COMPARISON: Taskrabbit implements many adjacent workflow elements while public evidence does not establish this particular architecture — a potential material difference.
- FUTURE RELEVANCE: if Taskrabbit or an AI partner later introduces predictive duration intelligence, the relevance of this patent element could increase.
Watch Items
- AI estimates.
- Job complexity interpretation.
- Predicted completion time.
- Automatic duration assignment.
- AI scheduling.
- Home-service agents.
Patent Architecture Beyond Publicly Observed Functionality
The following matters are contemplated by the patent architecture and have not been established from Taskrabbit's public material. Absence of public evidence is not evidence that the functionality is absent from the company's internal technology stack.
- AI-assisted, historically informed duration determination is a clearly identified area where the patent architecture extends beyond publicly established Taskrabbit functionality.
Evidence Confidence
Public material evidences hourly billing, estimates expressed in currency and category sizing options. No located source describes a system-determined estimate of time required, and none describes AI or historical data being used to derive one.
Strategic Interpretation
- Duration is the variable that converts a booking into a schedule; without a system-determined duration, optimisation across engagements is not possible.
- This is potentially the single most important differentiation point in the Taskrabbit review, and it rests on the absence of evidence being reported honestly as absence of evidence.
Page Conclusion
AI-Derived Recommended Task Duration — Not Publicly Established
Unless stronger evidence is entered into the Evidence Register, this element remains classified as not publicly established. That classification is a statement about available public evidence, not about Taskrabbit's internal technology.