Technology area: Transportation, E-Commerce & Mechanical Systems
6 pending office actions • 5 art units • 6 examiners • 0 of 6 (0%) have an AI response strategy ready • 4 patents granted in the last 365 days
American Airlines Inc. holds a patent portfolio in the Transportation, E-Commerce & Mechanical Systems technology area. There are currently 6 pending office actions for the company. This reflects an active engagement with the patent office regarding their transportation and mechanical systems technologies.
The 6 pending office actions are assigned to 6 distinct examiners. These examiners work within 5 distinct art units. This distribution shows that while each action has a unique examiner, there is some overlap in the technical divisions, as 5 distinct art units are involved for the 6 actions.
ROBINSON, AKIBA KANELLE is the busiest examiner for this portfolio, with 1 busiest examiner pending office action. This 1 action is one of the 6 total pending office actions. Because there are 6 distinct examiners, the workload is spread, with no single examiner handling more than one of the 6 pending actions.
The presence of 5 distinct art units indicates that the company's filings span several specialized areas within the broader transportation technology sector. Practitioners should prepare for 6 different examiner interactions to resolve the 6 pending office actions.
Based on the USPTO statutory response window for each pending office action. 3 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 3 of the docket's apps have a known mailing date.
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 (50%) |
| §101 + other | 3 (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 |
|---|---|---|---|
| ROBINSON, AKIBA KANELLE | 1 | 38.5% | +24.4% |
| MOLNAR, HUNTER A | 1 | 50.7% | +33.1% |
| STIVALETTI, MATHEUS R | 1 | 37.7% | +26.0% |
| BROWN, SARA GRACE | 1 | 28.8% | +32.3% |
| CHOY, PAN G | 1 | 24.5% | +35.0% |
| ZEROUAL, OMAR | 1 | 33.6% | +39.6% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18789330 | COMPUTER-BASED SYSTEMS AND METHODS FOR AUTOMATED AIRCRAFT CARGO LOAD PLANNING AND OPTIMAL SHIPPING CONFIGURATIONS | MOLNAR, HUNTER A | 8d overdue |
| 17971272 | RESOURCE ASSIGNMENTS BASED ON STATION CONSTRAINTS | CHOY, PAN G | 23d |
| 16854673 | UNOBSCURING ALGORITHM | ZEROUAL, OMAR | 40d |
| 19204369 | FARE CLASSES WITH OBSCURED DEMAND OR UNCONSTRAINED DEMAND | ROBINSON, AKIBA KANELLE | — |
| 18535828 | APPLYING LOGISTIC REGRESSION TO HISTORICAL DATA TO GENERATE FORECAST COEFFICIENTS | STIVALETTI, MATHEUS R | — |
| 18481574 | SYSTEM AND METHOD FOR MANAGING DISRUPTIONS WITHIN A TRANSPORTATION SYSTEM USING DELAYS AND CANCELLATIONS OF TRAVEL LEGS | BROWN, SARA GRACE | — |
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 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18789330 | COMPUTER-BASED SYSTEMS AND METHODS FOR AUTOMATED AIRCRAFT CARGO LOAD PLANNING AND OPTIMAL SHIPPING CONFIGURATIONS | MOLNAR, HUNTER A | 8d overdue |
| 17971272 | RESOURCE ASSIGNMENTS BASED ON STATION CONSTRAINTS | CHOY, PAN G | 23d |
| 16854673 | UNOBSCURING ALGORITHM | ZEROUAL, OMAR | 40d |
| 19204369 | FARE CLASSES WITH OBSCURED DEMAND OR UNCONSTRAINED DEMAND | ROBINSON, AKIBA KANELLE | — |
| 18535828 | APPLYING LOGISTIC REGRESSION TO HISTORICAL DATA TO GENERATE FORECAST COEFFICIENTS | STIVALETTI, MATHEUS R | — |
| 18481574 | SYSTEM AND METHOD FOR MANAGING DISRUPTIONS WITHIN A TRANSPORTATION SYSTEM USING DELAYS AND CANCELLATIONS OF TRAVEL LEGS | BROWN, SARA GRACE | — |
| Art Unit | Apps |
|---|---|
| 3628 | 2 |
| 3626 | 1 |
| 3623 | 1 |
| 3625 | 1 |
| 3624 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19204369 | FARE CLASSES WITH OBSCURED DEMAND OR UNCONSTRAINED DEMAND | ROBINSON, AKIBA KANELLE | 3626 | §101§102§103 | Final Rejection | — | Pending | May 09, 2025 |
| 18789330 | COMPUTER-BASED SYSTEMS AND METHODS FOR AUTOMATED AIRCRAFT CARGO LOAD PLANNING AND OPTIMAL SHIPPING CONFIGURATIONS | MOLNAR, HUNTER A | 3628 | §101§103 | Final Rejection | 8d overdue | Pending | Jul 30, 2024 |
| 18535828 | APPLYING LOGISTIC REGRESSION TO HISTORICAL DATA TO GENERATE FORECAST COEFFICIENTS | STIVALETTI, MATHEUS R | 3623 | §101 | Non-Final OA | — | Pending | Dec 11, 2023 |
| 18481574 | SYSTEM AND METHOD FOR MANAGING DISRUPTIONS WITHIN A TRANSPORTATION SYSTEM USING DELAYS AND CANCELLATIONS OF TRAVEL LEGS | BROWN, SARA GRACE | 3625 | §101 | Final Rejection | — | Pending | Oct 05, 2023 |
| 17971272 | RESOURCE ASSIGNMENTS BASED ON STATION CONSTRAINTS | CHOY, PAN G | 3624 | §101 | Non-Final OA | 23d | Pending | Oct 21, 2022 |
| 16854673 | UNOBSCURING ALGORITHM | ZEROUAL, OMAR | 3628 | §101§112 | Final Rejection | 40d | Pending | Apr 21, 2020 |
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Start Free TrialAmerican Airlines Inc. has 6 pending office actions as of October 2026, spread across 5 art units and 6 examiners.
Akiba Kanelle Robinson has the most, with 1 of American Airlines Inc.'s pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
