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
Pharmaforceiq Inc. has 3 pending office actions. These are in the Transportation, E-Commerce & Mechanical Systems technology area and are distributed across 2 distinct art units. This indicates that the company's innovations in this sector are being reviewed by more than one specialized group at the patent office.
The prosecution involves 3 distinct examiners. QUOC DUC TRAN is the busiest examiner, with 1 pending office action. Each of the 3 examiners is currently managing one of the 3 pending actions for the company. This one-to-one ratio between examiners and pending actions suggests a decentralized prosecution environment. With 3 different examiners across 2 art units, the company must manage multiple individual perspectives to ensure successful outcomes. Practitioners should coordinate strategies across these 3 examiners to maintain consistency while addressing the specific requirements of each of the 2 art units involved.
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%) |
| Double-patenting only | 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 |
|---|---|---|---|
| TRAN, QUOC DUC | 1 | 85.8% | +4.8% |
| HEWITT II, CALVIN L | 1 | 1.4% | +6.0% |
| BOSWELL, BETH V | 1 | 9.9% | -2.2% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18976808 | REMOTE REALTIME INTERACTIVE NETWORK CONFERENCING | TRAN, QUOC DUC | — |
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 |
|---|---|---|---|
| 18655651 | SYSTEMS AND METHODS FOR GOAL-DRIVEN CONTEXTUAL OMNICHANNEL OPTIMIZATION USING WELL-ROUNDED ARTIFICIAL INTELLIGENCE | HEWITT II, CALVIN L | 22d |
| 17819029 | SYSTEMS AND METHODS FOR ENHANCING SUGGESTIONS WITH AN EFFECTIVENESS INDEX | BOSWELL, BETH V | — |
| Art Unit | Apps |
|---|---|
| 3600 | 1 |
| 3625 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18976808 | REMOTE REALTIME INTERACTIVE NETWORK CONFERENCING | TRAN, QUOC DUC | — | DP | Non-Final OA | — | Pending | Dec 11, 2024 |
| 18655651 | SYSTEMS AND METHODS FOR GOAL-DRIVEN CONTEXTUAL OMNICHANNEL OPTIMIZATION USING WELL-ROUNDED ARTIFICIAL INTELLIGENCE | HEWITT II, CALVIN L | 3600 | §101§103 | Non-Final OA | 22d | Pending | May 06, 2024 |
| 17819029 | SYSTEMS AND METHODS FOR ENHANCING SUGGESTIONS WITH AN EFFECTIVENESS INDEX | BOSWELL, BETH V | 3625 | §101§112 | Non-Final OA | — | Pending | Aug 11, 2022 |
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