Technology area: Transportation, E-Commerce & Mechanical Systems
11 pending office actions • 10 art units • 10 examiners • 0 of 11 (0%) have an AI response strategy ready • 19 patents granted in the last 365 days
CVS Pharmacy Inc. has 11 pending office actions in Transportation, E-Commerce & Mechanical Systems. The matters are distributed across 10 examiners and 10 art units, indicating a broad prosecution footprint with limited repetition at both the examiner and art-unit levels. Most assignments are therefore distinct, and portfolio management should preserve matter-specific records.
YESILDAG, MEHMET is the busiest examiner, with 2 pending matters. That assignment is only a portion of the total workload, so the portfolio does not center on one examiner. Counsel can still compare the two matters for consistency, while treating the remaining assignments as separate examination relationships.
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 | 4 (36%) |
| §101 + other | 3 (27%) |
| §103 only | 1 (9%) |
| Multi-statute (no §101) | 3 (27%) |
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 |
|---|---|---|---|
| YESILDAG, MEHMET | 2 | 33.7% | +28.3% |
| FRY, PATRICK B | 1 | 54.1% | +8.2% |
| ROSEN, NICHOLAS D | 1 | 70.3% | +22.1% |
| SEREBOFF, NEAL | 1 | 28.3% | +33.4% |
| JOH, CATHERINE | 1 | 0.0% | +0.0% |
| MILLER-CRUZ, EKANDRA S. | 1 | 66.1% | +51.3% |
| PARK, GRACE A | 1 | 76.3% | +17.6% |
| HICKS, AUSTIN JAMES | 1 | 75.0% | +25.8% |
| COBANOGLU, DILEK B | 1 | 33.2% | +27.3% |
| SHELDEN, BION A | 1 | 22.1% | +20.1% |
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 |
|---|---|---|---|
| 18757266 | NUTRITION AND DEPRESCRIPTION | SEREBOFF, NEAL | 22d |
| 19030136 | AUTOMATED PILL FULFILLMENT SYSTEMS AND METHODS | FRY, PATRICK B | — |
| 19021943 | Intelligent Pre-Processing and Fulfillment of Mixed Orders | ROSEN, NICHOLAS D | — |
| 18789398 | Enterprise Workload Sharing System | YESILDAG, MEHMET | — |
| 18632598 | CHILD-RESISTANT SAFETY CAP REMOVAL TOOL | JOH, CATHERINE | — |
| 18388414 | MACHINE LEARNING SYSTEM FOR PREDICTING BIOMARKERS | PARK, GRACE A | — |
| 18213062 | GENERALIZED MACHINE LEARNING PIPELINE | HICKS, AUSTIN JAMES | — |
| 18128592 | AI BASED SYSTEMS AND METHODS FOR PROVIDING A CARE PLAN | COBANOGLU, DILEK B | — |
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 |
|---|---|---|---|
| 18757266 | NUTRITION AND DEPRESCRIPTION | SEREBOFF, NEAL | 22d |
| 19021943 | Intelligent Pre-Processing and Fulfillment of Mixed Orders | ROSEN, NICHOLAS D | — |
| 18789398 | Enterprise Workload Sharing System | YESILDAG, MEHMET | — |
| 18397794 | DIALYSIS MACHINE WITH CONSUMABLES MANAGEMENT | MILLER-CRUZ, EKANDRA S. | — |
| 18388414 | MACHINE LEARNING SYSTEM FOR PREDICTING BIOMARKERS | PARK, GRACE A | — |
| 18213062 | GENERALIZED MACHINE LEARNING PIPELINE | HICKS, AUSTIN JAMES | — |
| 18128592 | AI BASED SYSTEMS AND METHODS FOR PROVIDING A CARE PLAN | COBANOGLU, DILEK B | — |
| 17902608 | AI BASED METHODS AND SYSTEMS FOR TRACKING CHRONIC CONDITIONS | SHELDEN, BION A | — |
| Art Unit | Apps |
|---|---|
| 3624 | 2 |
| 3731 | 1 |
| 3689 | 1 |
| 3683 | 1 |
| 3723 | 1 |
| 1773 | 1 |
| 2144 | 1 |
| 2142 | 1 |
| 3687 | 1 |
| 3685 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19030136 | AUTOMATED PILL FULFILLMENT SYSTEMS AND METHODS | FRY, PATRICK B | 3731 | §102§103 | Final Rejection | — | Pending | Jan 17, 2025 |
| 19021943 | Intelligent Pre-Processing and Fulfillment of Mixed Orders | ROSEN, NICHOLAS D | 3689 | §101DP | Non-Final OA | — | Pending | Jan 15, 2025 |
| 18789398 | Enterprise Workload Sharing System | YESILDAG, MEHMET | 3624 | §101 | Final Rejection | — | Pending | Jul 30, 2024 |
| 18757266 | NUTRITION AND DEPRESCRIPTION | SEREBOFF, NEAL | 3683 | §101 | Non-Final OA | 22d | Pending | Jun 27, 2024 |
| 18632598 | CHILD-RESISTANT SAFETY CAP REMOVAL TOOL | JOH, CATHERINE | 3723 | §102§103 | Final Rejection | — | Pending | Apr 11, 2024 |
| 18397794 | DIALYSIS MACHINE WITH CONSUMABLES MANAGEMENT | MILLER-CRUZ, EKANDRA S. | 1773 | §103 | Final Rejection | — | Pending | Dec 27, 2023 |
| 18388414 | MACHINE LEARNING SYSTEM FOR PREDICTING BIOMARKERS | PARK, GRACE A | 2144 | §102§103 | Non-Final OA | — | Pending | Nov 09, 2023 |
| 18213062 | GENERALIZED MACHINE LEARNING PIPELINE | HICKS, AUSTIN JAMES | 2142 | §101§102§103§112 | Final Rejection | — | Pending | Jun 22, 2023 |
| 18128592 | AI BASED SYSTEMS AND METHODS FOR PROVIDING A CARE PLAN | COBANOGLU, DILEK B | 3687 | §101 | Non-Final OA | — | Pending | Mar 30, 2023 |
| 17902608 | AI BASED METHODS AND SYSTEMS FOR TRACKING CHRONIC CONDITIONS | SHELDEN, BION A | 3685 | §101§103 | Non-Final OA | — | Pending | Sep 02, 2022 |
| 17885069 | Enterprise Workload Sharing System | YESILDAG, MEHMET | 3624 | §101 | Final Rejection | — | Pending | Aug 10, 2022 |
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Start Free TrialCVS Pharmacy Inc. has 11 pending office actions as of October 2026, spread across 10 art units and 10 examiners.
Mehmet Yesildag has the most, with 2 of CVS Pharmacy Inc.'s pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
