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 • 1 patents granted in the last 365 days
Kakaobank Corp. has 1 pending office action in the Transportation, E-Commerce & Mechanical Systems technology area. This action is assigned to 1 distinct examiner and 1 distinct art unit. KWONG, CHO YIU is the busiest examiner for the company, overseeing 1 pending office action.
Because there is only 1 distinct examiner and 1 distinct art unit, the company's prosecution is highly centralized. Practitioners should focus on the specific examination patterns of KWONG, CHO YIU. The data suggests a focused approach to securing patent rights in the e-commerce sector. With all activity limited to 1 art unit, the technical scope of the current prosecution is narrow. This streamlined profile allows for a very specific and targeted legal strategy. The company's active patent strategy is currently concentrated on this single matter under the review of the assigned examiner. This concentration of resources ensures that the company can dedicate its attention to the feedback provided by the assigned examiner.
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 | 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 |
|---|---|---|---|
| KWONG, CHO YIU | 1 | 32.3% | +4.3% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18717931 | METHOD FOR OPERATING CREDIT EVALUATION MODEL USING TWO-STEP LOGISTIC REGRESSION ANALYSIS AND SERVER FOR PERFORMING SAME | KWONG, CHO YIU | 45d overdue |
| Art Unit | Apps |
|---|---|
| 3693 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18717931 | METHOD FOR OPERATING CREDIT EVALUATION MODEL USING TWO-STEP LOGISTIC REGRESSION ANALYSIS AND SERVER FOR PERFORMING SAME | KWONG, CHO YIU | 3693 | §101 | Final Rejection | 45d overdue | Pending | Dec 27, 2024 |
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