Technology areas: Networking & Security • Transportation, E-Commerce & Mechanical Systems
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready
Harex Infotech Inc. has 3 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These actions are distributed across 3 distinct examiners and 3 distinct art units, indicating a diverse range of technical review for the company's current filings. This arrangement suggests that the company's applications cover several different specialized areas within the transportation and e-commerce sectors, each requiring engagement with a different unit.
The busiest examiner, GEORGALAS, ANNE MARIE, is managing 1 busiest examiner pending office action. Because the 3 pending office actions are split among 3 distinct examiners, each examiner is currently responsible for exactly one active matter. For a practitioner, this means that every active application requires a unique relationship with a different examiner, and there is no central figure overseeing the majority of the portfolio's prosecution.
The use of 3 distinct art units for 3 pending office actions highlights the technical diversity of the company's current patent efforts. Since GEORGALAS, ANNE MARIE only handles 1 busiest examiner pending office action, the prosecution strategy must be tailored to three different individual styles and three different sets of art unit policies. This decentralized structure requires careful coordination to ensure that the company's overall patent goals are met across these varied technical fields.
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 |
|---|---|---|---|
| POND, ROBERT M | 1 | 71.1% | +42.4% |
| GEORGALAS, ANNE MARIE | 1 | 43.0% | +51.4% |
| PRINCE, JESSICA MARIE | 1 | 77.3% | +15.6% |
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 |
|---|---|
| 3688 | 1 |
| 3689 | 1 |
| 2486 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 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 |
| 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 |
| 18720789 | LEARNING METHOD USING USER-CENTRIC AI | PRINCE, JESSICA MARIE | 2486 | §102§103§112 | Non-Final OA | — | Pending | Jun 17, 2024 |
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Start Free TrialHarex Infotech Inc. has 3 pending office actions as of October 2026, spread across 3 art units and 3 examiners.
Robert M Pond has the most, with 1 of Harex Infotech Inc.'s pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
