Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
5 pending office actions • 4 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 2 patents granted in the last 365 days
Aon Global Operations SE Singapore Branch currently manages 6 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. This portfolio is distributed across 5 distinct art units, indicating a diverse range of technical classifications for their pending matters. The prosecution work involves 6 distinct examiners, matching the total number of 6 pending office actions. This distribution suggests that each matter is being handled by a different individual at the USPTO.
ABDULLAEV, AMANULLA is identified as the busiest examiner for this portfolio, though they are responsible for only 1 pending office action. This distribution suggests that no single examiner or art unit dominates the current workload, as the pending actions are spread across various individuals and 5 separate art units. For practitioners, this means that strategies must be tailored to the specific preferences of the 6 distinct examiners rather than a centralized group. The presence of the various art units further confirms that the company's applications in the Transportation, E-Commerce & Mechanical Systems area are being evaluated across multiple specialized examination teams.
Based on the USPTO statutory response window for each pending office action. 2 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 | 3 (60%) |
| §101 + other | 2 (40%) |
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 |
|---|---|---|---|
| ABDULLAEV, AMANULLA | 1 | 23.4% | +33.4% |
| AUSTIN, JAMIE H | 1 | 24.8% | +33.2% |
| RINES, ROBERT D | 1 | 38.5% | +47.1% |
| DIVELBISS, MATTHEW H | 1 | 24.0% | +25.2% |
| SMITH, LINDSEY B | 1 | 51.5% | +54.3% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17744425 | Systems, Methods, and Environments for Providing Subscription Product Recommendations | SMITH, LINDSEY B | 46d overdue |
| 18670423 | Systems and Methods for Automating Operational Due Diligence Analysis to Objectively Quantify Risk Factors | RINES, ROBERT D | 40d |
| 19050490 | AUTOMATED QUOTE COMPARISON AND GRAPHICAL RISK STRUCTURE GENERATION FROM UNSTRUCTURED INSURANCE QUOTATION DOCUMENTS | ABDULLAEV, AMANULLA | — |
| 18774493 | SYSTEMS AND METHODS FOR PREDICTING SUBSCRIBER CHURN IN RENEWALS OF SUBSCRIPTION PRODUCTS AND FOR AUTOMATICALLY SUPPORTING SUBSCRIBER-SUBSCRIPTION PROVIDER RELATIONSHIP DEVELOPMENT TO AVOID SUBSCRIBER CHURN | AUSTIN, JAMIE H | — |
| 18198641 | Identifying, Quantifying, and Mitigating Risks within Agricultural Supply Chains | DIVELBISS, MATTHEW 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 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17744425 | Systems, Methods, and Environments for Providing Subscription Product Recommendations | SMITH, LINDSEY B | 46d overdue |
| 18670423 | Systems and Methods for Automating Operational Due Diligence Analysis to Objectively Quantify Risk Factors | RINES, ROBERT D | 40d |
| 19050490 | AUTOMATED QUOTE COMPARISON AND GRAPHICAL RISK STRUCTURE GENERATION FROM UNSTRUCTURED INSURANCE QUOTATION DOCUMENTS | ABDULLAEV, AMANULLA | — |
| 18774493 | SYSTEMS AND METHODS FOR PREDICTING SUBSCRIBER CHURN IN RENEWALS OF SUBSCRIPTION PRODUCTS AND FOR AUTOMATICALLY SUPPORTING SUBSCRIBER-SUBSCRIPTION PROVIDER RELATIONSHIP DEVELOPMENT TO AVOID SUBSCRIBER CHURN | AUSTIN, JAMIE H | — |
| 18198641 | Identifying, Quantifying, and Mitigating Risks within Agricultural Supply Chains | DIVELBISS, MATTHEW H | — |
| Art Unit | Apps |
|---|---|
| 3625 | 2 |
| 3692 | 1 |
| 3624 | 1 |
| 3688 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19050490 | AUTOMATED QUOTE COMPARISON AND GRAPHICAL RISK STRUCTURE GENERATION FROM UNSTRUCTURED INSURANCE QUOTATION DOCUMENTS | ABDULLAEV, AMANULLA | 3692 | §101§103§112 | Non-Final OA | — | Pending | Feb 11, 2025 |
| 18774493 | SYSTEMS AND METHODS FOR PREDICTING SUBSCRIBER CHURN IN RENEWALS OF SUBSCRIPTION PRODUCTS AND FOR AUTOMATICALLY SUPPORTING SUBSCRIBER-SUBSCRIPTION PROVIDER RELATIONSHIP DEVELOPMENT TO AVOID SUBSCRIBER CHURN | AUSTIN, JAMIE H | 3625 | §101§103§112 | Final Rejection | — | Pending | Jul 16, 2024 |
| 18670423 | Systems and Methods for Automating Operational Due Diligence Analysis to Objectively Quantify Risk Factors | RINES, ROBERT D | 3625 | §101 | Non-Final OA | 40d | Pending | May 21, 2024 |
| 18198641 | Identifying, Quantifying, and Mitigating Risks within Agricultural Supply Chains | DIVELBISS, MATTHEW H | 3624 | §101 | Non-Final OA | — | Pending | May 17, 2023 |
| 17744425 | Systems, Methods, and Environments for Providing Subscription Product Recommendations | SMITH, LINDSEY B | 3688 | §101 | Non-Final OA | 46d overdue | Pending | May 13, 2022 |
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