Technology area: Transportation, E-Commerce & Mechanical Systems
3 pending office actions • 1 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Pitt-Ohio Express LLC maintains 3 pending office actions concentrated within a technology area: Transportation, E-Commerce & Mechanical Systems. Despite the focus on this field, the portfolio is being reviewed by 3 distinct examiners. This distribution means that every pending action is currently assigned to a different individual, requiring the applicant to navigate unique sets of examiner preferences and interpretations within the same technological domain. The lack of examiner overlap suggests that successful arguments in a case may not necessarily translate to the others.
All pending actions are situated within 1 distinct art unit. This concentration suggests a specialized set of inventions, yet the involvement of distinct examiners introduces variety in the prosecution process. SHABLACK, JOHNNIE A is identified as the busiest examiner with 1 pending office action. Since no examiner holds a majority of the workload, the prosecution strategy must remain flexible to address the specific requirements of each examiner involved in the Transportation, E-Commerce & Mechanical Systems field.
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 + other | 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 |
|---|---|---|---|
| SHABLACK, JOHNNIE A | 1 | 65.4% | +34.2% |
| OUELLETTE, JONATHAN P | 1 | 66.4% | +29.5% |
| MINOR, AYANNA YVETTE | 1 | 18.8% | +23.0% |
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 |
|---|---|---|---|
| 17945603 | METHOD AND APPARATUS FOR COMPARING THE EFFICIENCY OF OPERATORS | MINOR, AYANNA YVETTE | 162d overdue |
| 18968460 | APPARATUS AND METHOD FOR CARBON EMISSION OPTIMIZATION USING MACHINE-LEARNING | OUELLETTE, JONATHAN 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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17945603 | METHOD AND APPARATUS FOR COMPARING THE EFFICIENCY OF OPERATORS | MINOR, AYANNA YVETTE | 162d overdue |
| 18999729 | JAMB FOR LOADING DOCK DOOR AND SYSTEM INCLUDING SAME | SHABLACK, JOHNNIE A | — |
| 18968460 | APPARATUS AND METHOD FOR CARBON EMISSION OPTIMIZATION USING MACHINE-LEARNING | OUELLETTE, JONATHAN P | — |
| Art Unit | Apps |
|---|---|
| 3624 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18999729 | JAMB FOR LOADING DOCK DOOR AND SYSTEM INCLUDING SAME | SHABLACK, JOHNNIE A | — | §103DP | Non-Final OA | — | Pending | Dec 23, 2024 |
| 18968460 | APPARATUS AND METHOD FOR CARBON EMISSION OPTIMIZATION USING MACHINE-LEARNING | OUELLETTE, JONATHAN P | — | §101§102Other | Non-Final OA | — | Pending | Dec 04, 2024 |
| 17945603 | METHOD AND APPARATUS FOR COMPARING THE EFFICIENCY OF OPERATORS | MINOR, AYANNA YVETTE | 3624 | §101§112 | Final Rejection | 162d overdue | Pending | Sep 15, 2022 |
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