Technology area: Transportation, E-Commerce & Mechanical Systems
2 pending office actions • 1 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
Mercari Inc. currently manages 2 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These actions are distributed across 2 distinct examiners, indicating a spread of oversight even within a small volume of pending matters. All activity is concentrated in 1 distinct art unit, suggesting a specific focus for the company's current patent applications. This concentration in the art unit simplifies the procedural landscape for the examiners involved in these cases.
GEORGALAS, ANNE MARIE is the busiest examiner for the portfolio, responsible for 1 busiest examiner pending action. This is a pending office action for the company. Having distinct examiners for the actions means that no examiner is handling multiple cases except for the shared focus within the single art unit. Practitioners should note that while the examiner pool is diverse relative to the number of actions, the technical classification remains unified.
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 |
|---|---|
| §101 + other | 1 (50%) |
| Multi-statute (no §101) | 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 |
|---|---|---|---|
| GEORGALAS, ANNE MARIE | 1 | 43.0% | +51.4% |
| SHORTER, RASHIDA R | 1 | 18.1% | +26.2% |
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 |
|---|---|---|---|
| 18162982 | MACHINE-LEARNING FILTERS FOR CONTENT MODERATION AND REPORTING | SHORTER, RASHIDA R | 62d |
| 19072682 | INVENTORY INGESTION AND PRICING SYSTEM | GEORGALAS, ANNE MARIE | — |
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 |
|---|---|---|---|
| 18162982 | MACHINE-LEARNING FILTERS FOR CONTENT MODERATION AND REPORTING | SHORTER, RASHIDA R | 62d |
| 19072682 | INVENTORY INGESTION AND PRICING SYSTEM | GEORGALAS, ANNE MARIE | — |
| Art Unit | Apps |
|---|---|
| 3626 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19072682 | INVENTORY INGESTION AND PRICING SYSTEM | GEORGALAS, ANNE MARIE | — | §103§112Other | Non-Final OA | — | Pending | Mar 06, 2025 |
| 18162982 | MACHINE-LEARNING FILTERS FOR CONTENT MODERATION AND REPORTING | SHORTER, RASHIDA R | 3626 | §101§103 | Final Rejection | 62d | Pending | Feb 01, 2023 |
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