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
Huawei Telekomünikasyon Dis Ticaret Ltd. Sti has 1 pending office action in the Transportation, E-Commerce & Mechanical Systems technology area. This matter is situated within 1 distinct art unit, indicating a concentrated area of prosecution for this specific entity. The portfolio is currently being handled by 1 distinct examiner, which points to a very specific and limited engagement with the patent office at this time.
MARIA VICTORIA VANDERHORST is the busiest examiner for the company, with 1 pending office action under review. This case constitutes the entire pending office action volume for the company, as there are no other active matters across different art units. For a practitioner, this means that the current prosecution strategy is highly focused, with 1 distinct examiner overseeing the only active matter in the Transportation, E-Commerce & Mechanical Systems sector. The success of the entity's current patent efforts is tied to this proceeding.
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 |
|---|---|
| §101 + other | 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 |
|---|---|---|---|
| VANDERHORST, MARIA VICTORIA | 1 | 48.2% | +37.5% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18421711 | POWER LOSS FUNCTION FOR TRAINING A MACHINE LEARNING MODEL | VANDERHORST, MARIA VICTORIA | — |
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 |
|---|---|---|---|
| 18421711 | POWER LOSS FUNCTION FOR TRAINING A MACHINE LEARNING MODEL | VANDERHORST, MARIA VICTORIA | — |
| Art Unit | Apps |
|---|---|
| 3621 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18421711 | POWER LOSS FUNCTION FOR TRAINING A MACHINE LEARNING MODEL | VANDERHORST, MARIA VICTORIA | 3621 | §101§103 | Non-Final OA | — | Pending | Jan 24, 2024 |
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