Technology area: Transportation, E-Commerce & Mechanical Systems
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Stackadapt Inc. has 2 pending office actions in Transportation, E-Commerce & Mechanical Systems. The matters are assigned across 2 examiners and 2 art units, requiring attention to separate examination contexts.
DAGNEW, SABA is the busiest examiner, with 1 pending matter. A portfolio review should distinguish examiner-specific issues while preserving alignment across related work.
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 (50%) |
| §101 + other | 1 (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 |
|---|---|---|---|
| DAGNEW, SABA | 1 | 37.4% | +18.1% |
| OSMAN BILAL AHMED, AFAF | 1 | 16.1% | +13.9% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18715555 | MACHINE-LEARNING ARCHITECTURE FOR DEFINING END USER AUDIENCES FOR AUTOMATED ONLINE CONTENT SELECTION | OSMAN BILAL AHMED, AFAF | 36d |
| 18752192 | SYSTEMS AND METHODS OF GENERATING CONTEXT SPECIFICATION FOR CONTEXTUALIZED SEARCHES AND CONTENT DELIVERY | DAGNEW, SABA | — |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18715555 | MACHINE-LEARNING ARCHITECTURE FOR DEFINING END USER AUDIENCES FOR AUTOMATED ONLINE CONTENT SELECTION | OSMAN BILAL AHMED, AFAF | 36d |
| 18752192 | SYSTEMS AND METHODS OF GENERATING CONTEXT SPECIFICATION FOR CONTEXTUALIZED SEARCHES AND CONTENT DELIVERY | DAGNEW, SABA | — |
| Art Unit | Apps |
|---|---|
| 3621 | 1 |
| 3622 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18752192 | SYSTEMS AND METHODS OF GENERATING CONTEXT SPECIFICATION FOR CONTEXTUALIZED SEARCHES AND CONTENT DELIVERY | DAGNEW, SABA | 3621 | §101§103 | Final Rejection | — | Pending | Jun 24, 2024 |
| 18715555 | MACHINE-LEARNING ARCHITECTURE FOR DEFINING END USER AUDIENCES FOR AUTOMATED ONLINE CONTENT SELECTION | OSMAN BILAL AHMED, AFAF | 3622 | §101 | Final Rejection | 36d | Pending | May 31, 2024 |
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Start Free TrialStackadapt Inc. has 2 pending office actions as of October 2026, spread across 2 art units and 2 examiners.
Saba Dagnew has the most, with 1 of Stackadapt Inc.'s pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
