Technology area: Transportation, E-Commerce & Mechanical Systems
7 pending office actions • 6 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 25 patents granted in the last 365 days
Strong Force VCN Portfolio 2019, LLC manages a company patent portfolio in the Transportation, E-Commerce & Mechanical Systems technology area. There are 7 pending office actions currently active. These 7 pending office actions are distributed among 7 distinct examiners, meaning that every pending matter is being reviewed by a different individual. This distribution requires the company to coordinate across 7 separate prosecution tracks simultaneously.
The portfolio's prosecution spans 6 distinct art units. ROBINSON, MICHAEL is the busiest examiner, responsible for 1 busiest examiner pending office action. With 7 pending office actions and 7 distinct examiners across 6 distinct art units, the company faces a diversified prosecution landscape. This broad distribution suggests that the company's innovations in Transportation, E-Commerce & Mechanical Systems cover a wide array of technical sub-fields. Managing 7 pending office actions across 6 distinct art units requires the company to adapt to many different examination styles and procedural requirements. The involvement of 7 distinct examiners ensures that the company's patent applications are receiving independent reviews across 6 distinct art units, providing a broad range of feedback on their Transportation, E-Commerce & Mechanical Systems filings.
Based on the USPTO statutory response window for each pending office action. 3 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. 3 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 | 3 (43%) |
| §101 + other | 1 (14%) |
| §103 only | 2 (29%) |
| Multi-statute (no §101) | 1 (14%) |
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 |
|---|---|---|---|
| ROBINSON, MICHAEL | 1 | 62.0% | +20.6% |
| CROMER, ANDREW J | 1 | 75.9% | +18.0% |
| ORTIZ ROMAN, DENISSE Y | 1 | 52.3% | +31.8% |
| HOLZMACHER, DERICK J | 1 | 44.3% | +28.4% |
| JARRETT, RYAN A | 1 | 80.8% | +7.2% |
| JARRETT, SCOTT L | 1 | 52.0% | +47.3% |
| CROSS, JULIANA MARIA | 1 | 82.5% | +18.4% |
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 |
|---|---|---|---|
| 17332398 | METHODS FOR DETECTING OCCUPANCY IN A SPACE USING RADIO SIGNALS | CROSS, JULIANA MARIA | 22d |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17942076 | Control-Tower-Enabled Digital Product Network System for Value Chain Networks | ORTIZ ROMAN, DENISSE Y | 92d overdue |
| 18525843 | SYSTEMS, METHODS, KITS, AND APPARATUSES FOR MANAGING CONTROL TOWERS IN VALUE CHAIN NETWORKS | CROMER, ANDREW J | — |
| 17942069 | Digital-Twin-Enabled Digital Product Network System | HOLZMACHER, DERICK J | — |
| 17942078 | Distributed Additive Manufacturing Platform for Value Chain Networks | JARRETT, RYAN A | — |
| 17461425 | SYSTEMS AND METHODS FOR VISUALIZING VALUE CHAIN STATES USING MACHINE LEARNING AND DIGITAL TWIN DIGITAL REPLICAS OF THE VALUE CHAIN | JARRETT, SCOTT L | — |
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 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17942076 | Control-Tower-Enabled Digital Product Network System for Value Chain Networks | ORTIZ ROMAN, DENISSE Y | 92d overdue |
| 18738520 | METHODS AND SYSTEMS FOR ENABLING AND SCHEDULING 3D PRINTING-BASED FABRICATION | ROBINSON, MICHAEL | 46d overdue |
| 17332398 | METHODS FOR DETECTING OCCUPANCY IN A SPACE USING RADIO SIGNALS | CROSS, JULIANA MARIA | 22d |
| 18525843 | SYSTEMS, METHODS, KITS, AND APPARATUSES FOR MANAGING CONTROL TOWERS IN VALUE CHAIN NETWORKS | CROMER, ANDREW J | — |
| 17942069 | Digital-Twin-Enabled Digital Product Network System | HOLZMACHER, DERICK J | — |
| 17461425 | SYSTEMS AND METHODS FOR VISUALIZING VALUE CHAIN STATES USING MACHINE LEARNING AND DIGITAL TWIN DIGITAL REPLICAS OF THE VALUE CHAIN | JARRETT, SCOTT L | — |
| Art Unit | Apps |
|---|---|
| 3625 | 2 |
| 1744 | 1 |
| 3667 | 1 |
| 3627 | 1 |
| 2116 | 1 |
| 3648 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18738520 | METHODS AND SYSTEMS FOR ENABLING AND SCHEDULING 3D PRINTING-BASED FABRICATION | ROBINSON, MICHAEL | 1744 | §103 | Final Rejection | 46d overdue | Pending | Jun 10, 2024 |
| 18525843 | SYSTEMS, METHODS, KITS, AND APPARATUSES FOR MANAGING CONTROL TOWERS IN VALUE CHAIN NETWORKS | CROMER, ANDREW J | 3667 | §101 | Final Rejection | — | Pending | Nov 30, 2023 |
| 17942076 | Control-Tower-Enabled Digital Product Network System for Value Chain Networks | ORTIZ ROMAN, DENISSE Y | 3627 | §101 | Final Rejection | 92d overdue | Pending | Sep 09, 2022 |
| 17942069 | Digital-Twin-Enabled Digital Product Network System | HOLZMACHER, DERICK J | 3625 | §101§102§103 | Non-Final OA | — | Pending | Sep 09, 2022 |
| 17942078 | Distributed Additive Manufacturing Platform for Value Chain Networks | JARRETT, RYAN A | 2116 | §102§112 | Non-Final OA | — | Pending | Sep 09, 2022 |
| 17461425 | SYSTEMS AND METHODS FOR VISUALIZING VALUE CHAIN STATES USING MACHINE LEARNING AND DIGITAL TWIN DIGITAL REPLICAS OF THE VALUE CHAIN | JARRETT, SCOTT L | 3625 | §101 | Final Rejection | — | Pending | Aug 30, 2021 |
| 17332398 | METHODS FOR DETECTING OCCUPANCY IN A SPACE USING RADIO SIGNALS | CROSS, JULIANA MARIA | 3648 | §103Other | Final Rejection | 22d | Pending | May 27, 2021 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial