Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
12 pending office actions • 6 art units • 12 examiners • 0 of 12 (0%) have an AI response strategy ready • 43 patents granted in the last 365 days
Airbnb Inc. is currently managing 12 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These actions are distributed among 12 distinct examiners, which means that every pending action is being reviewed by a different individual. The prosecution activity is spread across 6 distinct art units, reflecting the diverse nature of the company's e-commerce and mechanical system filings. This distribution requires a coordinated effort to ensure consistency in arguments across multiple specialized groups.
DELICH, STEPHANIE ZAGARELLA is the busiest examiner for this portfolio, currently overseeing 1 pending office action. This matches the workload of all other examiners, as the 12 pending actions are split evenly among the 12 distinct examiners. For practitioners, the involvement of 12 distinct examiners for 12 pending actions requires a highly individualized approach to each case. The 6 distinct art units provide some level of grouping, but the one-to-one ratio of examiners to actions remains the dominant factor in the current prosecution landscape.
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 | 2 (17%) |
| §101 + other | 7 (58%) |
| §112 only | 2 (17%) |
| Multi-statute (no §101) | 1 (8%) |
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 |
|---|---|---|---|
| DELICH, STEPHANIE ZAGARELLA | 1 | 38.7% | +36.1% |
| NAKHJAVAN, SHERVIN K | 1 | 88.3% | +11.0% |
| HAILU, TADESSE | 1 | 78.0% | +4.0% |
| KAZIMI, HANI M | 1 | 48.5% | +19.4% |
| MISIASZEK, MICHAEL | 1 | 55.9% | +14.8% |
| ZEROUAL, OMAR | 1 | 33.5% | +39.7% |
| GOODMAN, MATTHEW PARKER | 1 | 20.2% | +30.3% |
| PADUA, NICO LAUREN | 1 | 17.4% | +38.7% |
| AUSTIN, JAMIE H | 1 | 24.8% | +33.2% |
| SITTNER, MICHAEL J | 1 | 10.9% | +14.9% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18631419 | INVITING CO-TRAVELERS TO VIEW A RESERVATION | ZEROUAL, OMAR | 60d overdue |
| 18185840 | Intelligent Prediction of An Expected Value of User Conversion | PADUA, NICO LAUREN | 46d overdue |
| 17731509 | AUTO-GENERATION OF ONLINE LISTING INFORMATION | SITTNER, MICHAEL J | 33d |
| 19174545 | HOST ACTION RANKING ENGINE FOR IMPROVED LISTINGS | DELICH, STEPHANIE ZAGARELLA | — |
| 18910771 | MIXTURE OF EXPERTS FOR IMAGE CLASSIFICATION | NAKHJAVAN, SHERVIN K | — |
| 18905551 | AUTOMATED IMAGE ORGANIZATION SYSTEM | HAILU, TADESSE | — |
| 18891385 | ORCHESTRATING MULTI-STEP TASKS INVOLVING LANGUAGE MODELS | KAZIMI, HANI M | — |
| 18653848 | Systems, Methods and User Interfaces for Organizing Wish Lists in Online Marketplaces | MISIASZEK, MICHAEL | — |
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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18631419 | INVITING CO-TRAVELERS TO VIEW A RESERVATION | ZEROUAL, OMAR | 60d overdue |
| 18185840 | Intelligent Prediction of An Expected Value of User Conversion | PADUA, NICO LAUREN | 46d overdue |
| 17731509 | AUTO-GENERATION OF ONLINE LISTING INFORMATION | SITTNER, MICHAEL J | 33d |
| 19174545 | HOST ACTION RANKING ENGINE FOR IMPROVED LISTINGS | DELICH, STEPHANIE ZAGARELLA | — |
| 18910771 | MIXTURE OF EXPERTS FOR IMAGE CLASSIFICATION | NAKHJAVAN, SHERVIN K | — |
| 18891385 | ORCHESTRATING MULTI-STEP TASKS INVOLVING LANGUAGE MODELS | KAZIMI, HANI M | — |
| 18653848 | Systems, Methods and User Interfaces for Organizing Wish Lists in Online Marketplaces | MISIASZEK, MICHAEL | — |
| 18136674 | SPLIT STAYS RANKING AND MATCHING | GOODMAN, MATTHEW PARKER | — |
| Art Unit | Apps |
|---|---|
| 3628 | 3 |
| 3688 | 1 |
| 3626 | 1 |
| 3625 | 1 |
| 3621 | 1 |
| 2165 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19174545 | HOST ACTION RANKING ENGINE FOR IMPROVED LISTINGS | DELICH, STEPHANIE ZAGARELLA | — | §101§112 | Non-Final OA | — | Pending | Apr 09, 2025 |
| 18910771 | MIXTURE OF EXPERTS FOR IMAGE CLASSIFICATION | NAKHJAVAN, SHERVIN K | — | §103§112 | Non-Final OA | — | Pending | Oct 09, 2024 |
| 18905551 | AUTOMATED IMAGE ORGANIZATION SYSTEM | HAILU, TADESSE | — | §101§103 | Non-Final OA | — | Pending | Oct 03, 2024 |
| 18891385 | ORCHESTRATING MULTI-STEP TASKS INVOLVING LANGUAGE MODELS | KAZIMI, HANI M | — | §101§102 | Non-Final OA | — | Pending | Sep 20, 2024 |
| 18653848 | Systems, Methods and User Interfaces for Organizing Wish Lists in Online Marketplaces | MISIASZEK, MICHAEL | 3688 | §101§103 | Final Rejection | — | Pending | May 02, 2024 |
| 18631419 | INVITING CO-TRAVELERS TO VIEW A RESERVATION | ZEROUAL, OMAR | 3628 | §101 | Final Rejection | 60d overdue | Pending | Apr 10, 2024 |
| 18136674 | SPLIT STAYS RANKING AND MATCHING | GOODMAN, MATTHEW PARKER | 3628 | §112 | Non-Final OA | — | Pending | Apr 19, 2023 |
| 18185840 | Intelligent Prediction of An Expected Value of User Conversion | PADUA, NICO LAUREN | 3626 | §101§103 | Non-Final OA | 46d overdue | Pending | Mar 17, 2023 |
| 17983294 | SYSTEMS AND METHODS FOR OPTIMIZING SEARCH RESULTS | AUSTIN, JAMIE H | 3625 | §101 | Final Rejection | — | Pending | Nov 08, 2022 |
| 17731509 | AUTO-GENERATION OF ONLINE LISTING INFORMATION | SITTNER, MICHAEL J | 3621 | §101§103§112 | Final Rejection | 33d | Pending | Apr 28, 2022 |
| 17728394 | FLEXIBLE VARIABLE LISTINGS SEARCH | NGUYEN, LOAN T | 2165 | §112 | Non-Final OA | — | Pending | Apr 25, 2022 |
| 17658798 | SYSTEMS AND METHODS FOR ANALYZING USER INTERACTION DATA USING MACHINE LEARNING TO ORGANIZE SEARCH RESULTS | CLARE, MARK C | 3628 | §101§112 | Final Rejection | — | Pending | Apr 11, 2022 |
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