Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready
Rec'S Innovation Co. Ltd. has 1 pending office action within the Transportation, E-Commerce & Mechanical Systems technology area. This matter is assigned to AKIBA KANELLE ROBINSON, who is the busiest examiner for the portfolio. The prosecution is confined to 1 distinct art unit and a distinct examiner. This data indicates a focused current engagement with the patent office.
Because the portfolio consists of only 1 pending office action, the company's immediate patent strategy is highly dependent on the interaction with AKIBA KANELLE ROBINSON. The placement of this matter within the Transportation, E-Commerce & Mechanical Systems sector suggests a targeted innovation. Practitioners should focus on the specific procedural history of the single art unit involved to ensure the technical merits are clearly communicated and to anticipate the progression of this pending action.
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 |
|---|---|
| §103 only | 1 (100%) |
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, AKIBA KANELLE | 1 | 38.2% | +24.6% |
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 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19343946 | VIRTUAL POWER PLANT SYSTEM BASED ON SELF-DEMAND RESPONSE | ROBINSON, AKIBA KANELLE | — |
| Art Unit | Apps |
|---|---|
| 3626 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19343946 | VIRTUAL POWER PLANT SYSTEM BASED ON SELF-DEMAND RESPONSE | ROBINSON, AKIBA KANELLE | 3626 | §103 | Non-Final OA | — | Pending | Sep 29, 2025 |
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