Prosecution Insights
Prosecution Insights
Technology areas: Networking & Security • Communications • Transportation, E-Commerce & Mechanical Systems
4 pending office actions • 3 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
Metropolis Ip Holdings LLC holds a patent portfolio in the Transportation, E-Commerce & Mechanical Systems technology area. The company has 4 pending office actions currently active. These actions are spread across 3 distinct art units, suggesting that the underlying technologies involve diverse mechanical or e-commerce systems. The involvement of 3 distinct art units indicates that the company's 4 pending office actions are being reviewed by several different specialized groups within the USPTO.
There are 4 distinct examiners assigned to these matters. Daryl C Pope is the busiest examiner for the portfolio, with 1 pending office action under review. Because the number of examiners equals the number of pending office actions, each examiner is currently handling exactly one matter for the company. This distribution ensures that Daryl C Pope and the other examiners can provide individual focus to each of the company's active applications in the Transportation, E-Commerce & Mechanical Systems sector.
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 | 3 (75%) |
| Double-patenting only | 1 (25%) |
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 |
|---|---|---|---|
| POPE, DARYL C | 1 | 85.5% | +6.4% |
| BYRD, UCHE SOWANDE | 1 | 22.6% | +26.7% |
| CHIO, TAT CHI | 1 | 72.9% | +17.6% |
| BROUGHTON, KATHLEEN M | 1 | 84.0% | +10.3% |
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 |
|---|---|---|---|
| 19172553 | Machine Learning Solutions for Matching of Vehicle Exit to Unmatched Entry Events | POPE, DARYL C | — |
| 18940794 | Automatic License Plate Layout Generation Using Machine Learning | BROUGHTON, KATHLEEN M | — |
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 |
|---|---|---|---|
| 19040706 | FORECASTING MANAGED FACILITY DURATION USING MACHINE LEARNING | BYRD, UCHE SOWANDE | — |
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 |
|---|---|---|---|
| 19040706 | FORECASTING MANAGED FACILITY DURATION USING MACHINE LEARNING | BYRD, UCHE SOWANDE | — |
| 18940792 | SYNTHETIC LICENSE PLATE DATA GENERATION | CHIO, TAT CHI | — |
| 18940794 | Automatic License Plate Layout Generation Using Machine Learning | BROUGHTON, KATHLEEN M | — |
| Art Unit | Apps |
|---|---|
| 3624 | 1 |
| 2486 | 1 |
| 2661 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19172553 | Machine Learning Solutions for Matching of Vehicle Exit to Unmatched Entry Events | POPE, DARYL C | — | DP | Non-Final OA | — | Pending | Apr 07, 2025 |
| 19040706 | FORECASTING MANAGED FACILITY DURATION USING MACHINE LEARNING | BYRD, UCHE SOWANDE | 3624 | §103 | Final Rejection | — | Pending | Jan 29, 2025 |
| 18940792 | SYNTHETIC LICENSE PLATE DATA GENERATION | CHIO, TAT CHI | 2486 | §103 | Non-Final OA | — | Pending | Nov 07, 2024 |
| 18940794 | Automatic License Plate Layout Generation Using Machine Learning | BROUGHTON, KATHLEEN M | 2661 | §103 | Non-Final OA | — | Pending | Nov 07, 2024 |
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