Prosecution Insights
Prosecution Insights
Technology areas: Communications • Transportation, E-Commerce & Mechanical Systems
8 pending office actions • 8 art units • 8 examiners • 0 of 8 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
Motive Technologies Inc. currently has 8 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These 8 actions are distributed across 8 distinct examiners and 8 distinct art units. This one-to-one ratio across the board indicates a highly fragmented prosecution landscape where every single pending matter is being reviewed by a different examiner in a different art unit.
The busiest examiner for the company is EL-BATHY, IBRAHIM N, who is handling 1 pending office action. Since there are 8 pending office actions and 8 distinct examiners, no single examiner has more than one case. This means the company cannot rely on a centralized strategy for a specific examiner or art unit, as the 8 distinct art units each represent a unique technical silo within the patent office.
For practitioners, this level of distribution across 8 distinct examiners and 8 distinct art units suggests that the portfolio covers a wide range of diverse technologies within the broader Transportation, E-Commerce & Mechanical Systems area. Each of the 8 pending office actions requires an independent approach tailored to the specific examiner and unit 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 only | 2 (25%) |
| §101 + other | 2 (25%) |
| §103 only | 4 (50%) |
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 |
|---|---|---|---|
| EL-BATHY, IBRAHIM N | 1 | 52.0% | +46.4% |
| KHALID, OMER | 1 | 66.7% | +23.1% |
| RICH, JOSEPHINE ELIZABETH | 1 | 82.8% | +11.1% |
| STIVALETTI, MATHEUS R | 1 | 37.1% | +28.3% |
| KRETZER, CASEY L | 1 | 86.8% | +12.7% |
| SMITH, JELANI A | 1 | 70.2% | +11.3% |
| BOSWELL, BETH V | 1 | 9.9% | -2.2% |
| LITTLEJOHN JR, MANCIL H | 1 | 73.0% | +23.4% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18891115 | SYSTEMS AND METHODS FOR COLLISION DETECTION | RICH, JOSEPHINE ELIZABETH | — |
| 18765987 | DISTRACTED DRIVING DETECTION USING A MULTI-TASK TRAINING PROCESS | KRETZER, CASEY L | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18796587 | CORRELATING TELEMATICS AND VEHICLE DATA WITH ASYNCHRONOUS DATA LOG ENTRIES | STIVALETTI, MATHEUS R | 10d overdue |
| 19075952 | SYSTEM AND METHOD FOR PROVIDING FREIGHT VISIBILITY | EL-BATHY, IBRAHIM N | — |
| 17537928 | PREDICTING A DRIVER IDENTITY FOR UNASSIGNED DRIVING TIME | BOSWELL, BETH V | — |
| 17328451 | MULTI-DIMENSIONAL MODELING OF DRIVER AND ENVIRONMENT CHARACTERISTICS | LITTLEJOHN JR, MANCIL H | — |
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 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18796587 | CORRELATING TELEMATICS AND VEHICLE DATA WITH ASYNCHRONOUS DATA LOG ENTRIES | STIVALETTI, MATHEUS R | 10d overdue |
| 19075952 | SYSTEM AND METHOD FOR PROVIDING FREIGHT VISIBILITY | EL-BATHY, IBRAHIM N | — |
| 18922827 | VEHICLE DASHCAM WITH DUAL FRONT-FACING CAMERAS | KHALID, OMER | — |
| 18891115 | SYSTEMS AND METHODS FOR COLLISION DETECTION | RICH, JOSEPHINE ELIZABETH | — |
| 18765987 | DISTRACTED DRIVING DETECTION USING A MULTI-TASK TRAINING PROCESS | KRETZER, CASEY L | — |
| 18539962 | VEHICLE GATEWAY WITH POWER MANAGEMENT SYSTEM | SMITH, JELANI A | — |
| 17328451 | MULTI-DIMENSIONAL MODELING OF DRIVER AND ENVIRONMENT CHARACTERISTICS | LITTLEJOHN JR, MANCIL H | — |
| Art Unit | Apps |
|---|---|
| 3628 | 1 |
| 2422 | 1 |
| 3666 | 1 |
| 3623 | 1 |
| 2635 | 1 |
| 3662 | 1 |
| 3625 | 1 |
| 2685 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19075952 | SYSTEM AND METHOD FOR PROVIDING FREIGHT VISIBILITY | EL-BATHY, IBRAHIM N | 3628 | §101§103 | Non-Final OA | — | Pending | Mar 11, 2025 |
| 18922827 | VEHICLE DASHCAM WITH DUAL FRONT-FACING CAMERAS | KHALID, OMER | 2422 | §103 | Non-Final OA | — | Pending | Oct 22, 2024 |
| 18891115 | SYSTEMS AND METHODS FOR COLLISION DETECTION | RICH, JOSEPHINE ELIZABETH | 3666 | §103 | Final Rejection | — | Pending | Sep 20, 2024 |
| 18796587 | CORRELATING TELEMATICS AND VEHICLE DATA WITH ASYNCHRONOUS DATA LOG ENTRIES | STIVALETTI, MATHEUS R | 3623 | §101§103 | Non-Final OA | 10d overdue | Pending | Aug 07, 2024 |
| 18765987 | DISTRACTED DRIVING DETECTION USING A MULTI-TASK TRAINING PROCESS | KRETZER, CASEY L | 2635 | §103 | Non-Final OA | — | Pending | Jul 08, 2024 |
| 18539962 | VEHICLE GATEWAY WITH POWER MANAGEMENT SYSTEM | SMITH, JELANI A | 3662 | §103 | Non-Final OA | — | Pending | Dec 14, 2023 |
| 17537928 | PREDICTING A DRIVER IDENTITY FOR UNASSIGNED DRIVING TIME | BOSWELL, BETH V | 3625 | §101 | Final Rejection | — | Pending | Nov 30, 2021 |
| 17328451 | MULTI-DIMENSIONAL MODELING OF DRIVER AND ENVIRONMENT CHARACTERISTICS | LITTLEJOHN JR, MANCIL H | 2685 | §101 | Non-Final OA | — | Pending | May 24, 2021 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial