Technology area: Transportation, E-Commerce & Mechanical Systems
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
Nuvi Labs Co. Ltd. manages a company patent portfolio in the Transportation, E-Commerce & Mechanical Systems technology area. The portfolio currently features 2 pending office actions, which are assigned to 2 distinct examiners. This arrangement ensures that the company's pending applications are being evaluated by different officials, rather than being concentrated under a single examiner's review.
In addition to having 2 distinct examiners, the portfolio's pending office actions are situated within distinct art units. This indicates that the active matters cover different technical aspects of the transportation and mechanical systems field. The busiest examiner, ANDERSON, SCOTT C, is currently overseeing 1 busiest examiner pending office action.
The distribution of the pending office actions across distinct art units and examiners requires a prosecution strategy that can handle multiple administrative channels. Practitioners must be prepared to address the specific concerns of ANDERSON, SCOTT C while also managing the requirements of other assigned officials. This lack of overlap suggests that the company's current innovations are technically diverse enough to be classified into separate art units.
Based on the USPTO statutory response window for each pending office action. 2 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 |
|---|---|
| §101 only | 1 (50%) |
| §101 + other | 1 (50%) |
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 |
|---|---|---|---|
| ANDERSON, SCOTT C | 1 | 58.6% | +31.6% |
| GARTLAND, SCOTT D | 1 | 10.9% | +12.2% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18290564 | ARTIFICIAL INTELLIGENCE-BASED MEAL MONITORING METHOD AND APPARATUS | GARTLAND, SCOTT D | 6d |
| 18670699 | MEAL SERVICE MANAGEMENT SYSTEM AND OPERATING METHOD THEREFOR | ANDERSON, SCOTT C | 28d |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18290564 | ARTIFICIAL INTELLIGENCE-BASED MEAL MONITORING METHOD AND APPARATUS | GARTLAND, SCOTT D | 6d |
| 18670699 | MEAL SERVICE MANAGEMENT SYSTEM AND OPERATING METHOD THEREFOR | ANDERSON, SCOTT C | 28d |
| Art Unit | Apps |
|---|---|
| 3694 | 1 |
| 3685 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18670699 | MEAL SERVICE MANAGEMENT SYSTEM AND OPERATING METHOD THEREFOR | ANDERSON, SCOTT C | 3694 | §101 | Final Rejection | 28d | Pending | May 21, 2024 |
| 18290564 | ARTIFICIAL INTELLIGENCE-BASED MEAL MONITORING METHOD AND APPARATUS | GARTLAND, SCOTT D | 3685 | §101§112 | Final Rejection | 6d | Pending | Nov 14, 2023 |
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