Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
Clari Inc. is navigating 2 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These actions are split between 2 distinct examiners and 2 distinct art units, which requires a multi-faceted approach to prosecution. The presence of 2 distinct art units indicates that the portfolio likely touches on different aspects of commerce or mechanical systems. This diversification means the company is not dependent on the discretion of 1 examiner or the specific culture of 1 art unit.
The busiest examiner, SITTNER, MATTHEW T, is assigned to 1 busiest examiner pending office action. This accounts for 1 of the 2 pending office actions currently active. Because there are 2 distinct examiners, the company must prepare for potentially different interpretations of patentability across its applications. Successfully resolving the 2 pending office actions will involve addressing the specific concerns raised by each of the 2 distinct examiners within their respective art units.
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 (50%) |
| §101 + other | 1 (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 |
|---|---|---|---|
| SITTNER, MATTHEW T | 1 | 57.9% | +56.1% |
| RINES, ROBERT D | 1 | 38.5% | +47.1% |
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 |
|---|---|---|---|
| 18304710 | METHOD FOR EFFICIENT AI FEATURE LIFECYCLE MANAGEMENT THROUGH AI MODEL UPDATES | SITTNER, MATTHEW T | — |
| 17007713 | SYSTEM AND METHOD TO PROVIDE PRESCRIPTIVE ACTIONS FOR WINNING A SALES OPPORTUNITY USING DEEP REINFORCEMENT LEARNING | RINES, ROBERT D | — |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18304710 | METHOD FOR EFFICIENT AI FEATURE LIFECYCLE MANAGEMENT THROUGH AI MODEL UPDATES | SITTNER, MATTHEW T | — |
| 17007713 | SYSTEM AND METHOD TO PROVIDE PRESCRIPTIVE ACTIONS FOR WINNING A SALES OPPORTUNITY USING DEEP REINFORCEMENT LEARNING | RINES, ROBERT D | — |
| Art Unit | Apps |
|---|---|
| 3629 | 1 |
| 3625 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18304710 | METHOD FOR EFFICIENT AI FEATURE LIFECYCLE MANAGEMENT THROUGH AI MODEL UPDATES | SITTNER, MATTHEW T | 3629 | §101§103§112 | Non-Final OA | — | Pending | Apr 21, 2023 |
| 17007713 | SYSTEM AND METHOD TO PROVIDE PRESCRIPTIVE ACTIONS FOR WINNING A SALES OPPORTUNITY USING DEEP REINFORCEMENT LEARNING | RINES, ROBERT D | 3625 | §101 | Non-Final OA | — | Pending | Aug 31, 2020 |
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