Prosecution Insights
Prosecution Insights
Technology areas: Networking & Security • Transportation, E-Commerce & Mechanical Systems
9 pending office actions • 5 art units • 9 examiners • 0 of 9 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Loop Now Technologies Inc. currently faces 10 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These matters are distributed among 10 distinct examiners, suggesting that every single active matter is being reviewed by a different individual. Furthermore, the portfolio spans 6 distinct art units, which indicates a significant degree of technical diversity within the transportation and mechanical systems fields.
The busiest examiner for the company is FLYNN, ABBY J, who is overseeing 1 pending office action. This confirms that even the most active examiner handles only a single case, as the 10 pending office actions are spread across 10 distinct examiners. This distribution shows that the company's prosecution experience is entirely decentralized across its active cases, with no examiner overlap currently present.
For practitioners, the presence of 6 distinct art units and 10 distinct examiners means that prosecution strategies must be tailored to a wide variety of examiner behaviors and art unit norms. Because 10 distinct examiners are involved in the 10 pending office actions, there is no opportunity to apply insights from a single examiner to multiple cases. The 6 distinct art units represent the broad technical landscape Loop Now Technologies Inc. is navigating.
Based on the USPTO statutory response window for each pending office action. 4 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 4 of the docket's apps have a known mailing date.
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 (11%) |
| §101 + other | 3 (33%) |
| §103 only | 3 (33%) |
| Multi-statute (no §101) | 2 (22%) |
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 |
|---|---|---|---|
| FLYNN, ABBY J | 1 | 33.0% | +55.4% |
| POND, ROBERT M | 1 | 71.1% | +42.3% |
| PULLIAS, JESSE SCOTT | 1 | 82.6% | +12.5% |
| SALCE, JASON P | 1 | 68.1% | +16.2% |
| CHOWDHURY, SUMAIYA A | 1 | 69.8% | +28.7% |
| WOODWORTH, II, ALLAN J | 1 | 38.7% | +40.0% |
| MISIASZEK, MICHAEL | 1 | 55.9% | +14.8% |
| SHAH, VAISHALI | 1 | 57.4% | +53.2% |
| VAN BRAMER, JOHN W | 1 | 33.2% | +33.4% |
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 |
|---|---|---|---|
| 18617772 | SYNTHESIZED RESPONSES TO PREDICTIVE LIVESTREAM QUESTIONS | PULLIAS, JESSE SCOTT | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18388556 | CLUSTER-BASED DYNAMIC CONTENT WITH MULTI-DIMENSIONAL VECTORS | WOODWORTH, II, ALLAN J | 77d overdue |
| 18199576 | SHORT-FORM VIDEO USAGE WITHIN A FRAME WIDGET ENVIRONMENT | VAN BRAMER, JOHN W | 53d overdue |
| 18220346 | SEARCH USING GENERATIVE MODEL SYNTHESIZED IMAGES | SHAH, VAISHALI | 21d |
| 19212771 | ECOMMERCE PRODUCT MANAGEMENT USING INSTANT MESSAGING | FLYNN, ABBY J | — |
| 18820456 | LIVESTREAM WITH LARGE LANGUAGE MODEL ASSIST | POND, ROBERT M | — |
| 18407560 | AUGMENTED PERFORMANCE REPLACEMENT IN A SHORT-FORM VIDEO | SALCE, JASON P | — |
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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18388556 | CLUSTER-BASED DYNAMIC CONTENT WITH MULTI-DIMENSIONAL VECTORS | WOODWORTH, II, ALLAN J | 77d overdue |
| 18199576 | SHORT-FORM VIDEO USAGE WITHIN A FRAME WIDGET ENVIRONMENT | VAN BRAMER, JOHN W | 53d overdue |
| 18534784 | TEMPORAL ANALYSIS TO DETERMINE SHORT-FORM VIDEO ENGAGEMENT | CHOWDHURY, SUMAIYA A | 5d overdue |
| 18220346 | SEARCH USING GENERATIVE MODEL SYNTHESIZED IMAGES | SHAH, VAISHALI | 21d |
| 19212771 | ECOMMERCE PRODUCT MANAGEMENT USING INSTANT MESSAGING | FLYNN, ABBY J | — |
| 18820456 | LIVESTREAM WITH LARGE LANGUAGE MODEL ASSIST | POND, ROBERT M | — |
| 18617772 | SYNTHESIZED RESPONSES TO PREDICTIVE LIVESTREAM QUESTIONS | PULLIAS, JESSE SCOTT | — |
| 18407560 | AUGMENTED PERFORMANCE REPLACEMENT IN A SHORT-FORM VIDEO | SALCE, JASON P | — |
| Art Unit | Apps |
|---|---|
| 3688 | 2 |
| 2421 | 2 |
| 3622 | 2 |
| 2655 | 1 |
| 2156 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19212771 | ECOMMERCE PRODUCT MANAGEMENT USING INSTANT MESSAGING | FLYNN, ABBY J | — | §101§102§103 | Non-Final OA | — | Pending | May 20, 2025 |
| 18820456 | LIVESTREAM WITH LARGE LANGUAGE MODEL ASSIST | POND, ROBERT M | 3688 | §101§103 | Non-Final OA | — | Pending | Aug 30, 2024 |
| 18617772 | SYNTHESIZED RESPONSES TO PREDICTIVE LIVESTREAM QUESTIONS | PULLIAS, JESSE SCOTT | 2655 | §103 | Final Rejection | — | Pending | Mar 27, 2024 |
| 18407560 | AUGMENTED PERFORMANCE REPLACEMENT IN A SHORT-FORM VIDEO | SALCE, JASON P | 2421 | §102§103 | Non-Final OA | — | Pending | Jan 09, 2024 |
| 18534784 | TEMPORAL ANALYSIS TO DETERMINE SHORT-FORM VIDEO ENGAGEMENT | CHOWDHURY, SUMAIYA A | 2421 | §103 | Non-Final OA | 5d overdue | Pending | Dec 11, 2023 |
| 18388556 | CLUSTER-BASED DYNAMIC CONTENT WITH MULTI-DIMENSIONAL VECTORS | WOODWORTH, II, ALLAN J | 3622 | §101 | Final Rejection | 77d overdue | Pending | Nov 10, 2023 |
| 18376481 | OBJECT HIGHLIGHTING IN AN ECOMMERCE SHORT-FORM VIDEO | MISIASZEK, MICHAEL | 3688 | §103 | Final Rejection | — | Pending | Oct 04, 2023 |
| 18220346 | SEARCH USING GENERATIVE MODEL SYNTHESIZED IMAGES | SHAH, VAISHALI | 2156 | §103§112 | Final Rejection | 21d | Pending | Jul 11, 2023 |
| 18199576 | SHORT-FORM VIDEO USAGE WITHIN A FRAME WIDGET ENVIRONMENT | VAN BRAMER, JOHN W | 3622 | §101§112 | Non-Final OA | 53d overdue | Pending | May 19, 2023 |
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