Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
3 pending office actions • 2 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready
Harex Infotech Inc. manages 3 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These actions involve 3 distinct examiners and 2 distinct art units. This indicates that the pending matters are being reviewed in a small number of technical divisions. With 3 pending office actions, the company's current prosecution is focused on a narrow range of technical subjects within the transportation and e-commerce sectors.
POND, ROBERT M is the busiest examiner for the portfolio. This examiner is responsible for 1 pending office action. Since there are 3 distinct examiners for 3 pending actions, each matter is currently being handled by a different individual. This distribution across 3 distinct examiners means that the outcome of each action is independent of the others. The focus within the Transportation, E-Commerce & Mechanical Systems area across only 2 art units suggests that while the examiners differ, the technical standards applied to the actions may be similar.
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 | 2 (67%) |
| Multi-statute (no §101) | 1 (33%) |
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% |
| POND, ROBERT M | 1 | 71.1% | +42.3% |
| PRINCE, JESSICA MARIE | 1 | 77.3% | +15.3% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18864724 | USER-CENTRIC HYPER-PERSONALIZED PRODUCT RECOMMENDATION AND MARKETING SYSTEM AND METHOD | POND, ROBERT M | 70d |
| 18864599 | NATURAL LANGUAGE PROCESSING-BASED PRODUCT RECOMMENDATION SYSTEM AND METHOD ENABLING PROVISION OF PRODUCT PLANNING INFORMATION | GEORGALAS, ANNE MARIE | — |
| 18720789 | LEARNING METHOD USING USER-CENTRIC AI | PRINCE, JESSICA 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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18864724 | USER-CENTRIC HYPER-PERSONALIZED PRODUCT RECOMMENDATION AND MARKETING SYSTEM AND METHOD | POND, ROBERT M | 70d |
| 18864599 | NATURAL LANGUAGE PROCESSING-BASED PRODUCT RECOMMENDATION SYSTEM AND METHOD ENABLING PROVISION OF PRODUCT PLANNING INFORMATION | GEORGALAS, ANNE MARIE | — |
| 18720789 | LEARNING METHOD USING USER-CENTRIC AI | PRINCE, JESSICA MARIE | — |
| Art Unit | Apps |
|---|---|
| 3689 | 1 |
| 3688 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18864599 | NATURAL LANGUAGE PROCESSING-BASED PRODUCT RECOMMENDATION SYSTEM AND METHOD ENABLING PROVISION OF PRODUCT PLANNING INFORMATION | GEORGALAS, ANNE MARIE | 3689 | §101§102§103§112 | Non-Final OA | — | Pending | Nov 11, 2024 |
| 18864724 | USER-CENTRIC HYPER-PERSONALIZED PRODUCT RECOMMENDATION AND MARKETING SYSTEM AND METHOD | POND, ROBERT M | 3688 | §101§102§103 | Non-Final OA | 70d | Pending | Nov 11, 2024 |
| 18720789 | LEARNING METHOD USING USER-CENTRIC AI | PRINCE, JESSICA MARIE | — | §102§103§112 | Non-Final OA | — | Pending | Jun 17, 2024 |
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