Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready
Oxipital AI Inc. manages a patent portfolio in the Transportation, E-Commerce & Mechanical Systems technology area. The portfolio currently features 1 pending office action. This 1 action is being handled by 1 distinct examiner, ELIZABETH ROSE NELESKI, who is also the busiest examiner for the portfolio with 1 pending office action.
The prosecution is localized within 1 distinct art unit. This alignment of 1 pending office action, 1 examiner, and 1 art unit indicates a singular point of contact and a focused technical review process. ELIZABETH ROSE NELESKI is responsible for the entirety of the portfolio's current pending activity within the Transportation, E-Commerce & Mechanical Systems field.
For this portfolio, the data shows a very specific prosecution footprint. With only 1 pending office action, the workload is concentrated. The involvement of 1 distinct art unit and 1 distinct examiner, ELIZABETH ROSE NELESKI, ensures that the current prosecution strategy is contained within a single administrative and technical channel at the USPTO.
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §103 only | 1 (100%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| NELESKI, ELIZABETH ROSE | 1 | 74.8% | +15.7% |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19004969 | LOGGING AND ANALYZING ROBOTIC PICKING DATA | NELESKI, ELIZABETH ROSE | 14d |
| Art Unit | Apps |
|---|---|
| 3658 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19004969 | LOGGING AND ANALYZING ROBOTIC PICKING DATA | NELESKI, ELIZABETH ROSE | 3658 | §103 | Final Rejection | 14d | Pending | Dec 30, 2024 |
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