Technology areas: Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
14 pending office actions • 7 art units • 14 examiners • 0 of 14 (0%) have an AI response strategy ready • 19 patents granted in the last 365 days
Transform Sr Brands LLC has 15 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These actions are spread across 7 distinct art units. This distribution across 7 art units for 15 actions suggests that the company's innovations are concentrated in a few key technical classifications at the patent office.
The portfolio involves 15 distinct examiners. KRINGEN, MICHELLE THERESE is the busiest examiner with 1 pending action. This shows a ratio of 1 examiner per action, with each of the 15 actions being reviewed by a different individual. This lack of examiner concentration means that no single person has a disproportionate impact on the company's current pending workload.
With 15 pending actions and 15 examiners across 7 art units, the company faces a fragmented prosecution environment. Because every action is handled by a different examiner, the company must adapt to 15 different examination styles. For a practitioner, this means that each of the 15 pending actions must be managed as an independent matter, as there is no personnel overlap to provide consistency.
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 | 2 (14%) |
| §101 + other | 6 (43%) |
| Double-patenting only | 3 (21%) |
| Multi-statute (no §101) | 3 (21%) |
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 |
|---|---|---|---|
| KRINGEN, MICHELLE THERESE | 1 | 56.0% | +38.7% |
| JEANTY, ROMAIN | 1 | 75.7% | +19.6% |
| GAW, MARK H | 1 | 49.8% | +59.7% |
| HAIDER, FAWAAD | 1 | 50.2% | +25.3% |
| ELCHANTI, TAREK | 1 | 50.5% | +36.1% |
| FRISBY, KESHA | 1 | 52.8% | +23.2% |
| ZEROUAL, OMAR | 1 | 33.5% | +39.7% |
| ANDERSON, SCOTT C | 1 | 58.6% | +31.6% |
| DAGNEW, SABA | 1 | 37.5% | +17.6% |
| CHANG, YU-WEN | 1 | 82.0% | +11.0% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18907708 | INTERFACING EVENT DETECTORS WITH A NETWORK INTERFACE | CHANG, YU-WEN | — |
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 |
|---|---|---|---|
| 18327117 | STICK VACUUM WITH INDEXING VACUUM HEAD ASSEMBLY | FULL, SIDNEY DANIELLE | 20d |
| 19229049 | CUSTOMER CLUSTERING USING INTEGER PROGRAMMING | JEANTY, ROMAIN | — |
| 19098580 | MERCHANDISE RETURN AND/OR EXCHANGE SYSTEMS, METHODS, AND MEDIA | GAW, MARK H | — |
| 19098626 | SYSTEM AND METHOD FOR USING DATA POINTS COLLECTED FROM A CUSTOMER TO PROVIDE CUSTOMER SPECIFIC OFFERINGS | HAIDER, FAWAAD | — |
| 19098229 | SYSTEM AND METHOD PROVIDING PERSONALIZED RECOMMENDATIONS | ELCHANTI, TAREK | — |
| 19082837 | LEARNING MANAGEMENT SYSTEM | FRISBY, KESHA | — |
| 19063757 | SYSTEMS AND METHODS OF TARGETED INTERACTIONS FOR INTEGRATED RETAIL APPLICATIONS | ZEROUAL, OMAR | — |
| 19063797 | METHOD AND SYSTEM FOR AUTOMATED TARGETED POLLING VIA AN E-COMMERCE PROMOTIONS PLATFORM | ANDERSON, SCOTT C | — |
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 |
|---|---|---|---|
| 19266293 | SALES PROMOTION USING PRODUCT COMPARISON | KRINGEN, MICHELLE THERESE | — |
| 19229049 | CUSTOMER CLUSTERING USING INTEGER PROGRAMMING | JEANTY, ROMAIN | — |
| 19098580 | MERCHANDISE RETURN AND/OR EXCHANGE SYSTEMS, METHODS, AND MEDIA | GAW, MARK H | — |
| 19098626 | SYSTEM AND METHOD FOR USING DATA POINTS COLLECTED FROM A CUSTOMER TO PROVIDE CUSTOMER SPECIFIC OFFERINGS | HAIDER, FAWAAD | — |
| 19098229 | SYSTEM AND METHOD PROVIDING PERSONALIZED RECOMMENDATIONS | ELCHANTI, TAREK | — |
| 19082837 | LEARNING MANAGEMENT SYSTEM | FRISBY, KESHA | — |
| 19063757 | SYSTEMS AND METHODS OF TARGETED INTERACTIONS FOR INTEGRATED RETAIL APPLICATIONS | ZEROUAL, OMAR | — |
| 19063797 | METHOD AND SYSTEM FOR AUTOMATED TARGETED POLLING VIA AN E-COMMERCE PROMOTIONS PLATFORM | ANDERSON, SCOTT C | — |
| Art Unit | Apps |
|---|---|
| 3689 | 1 |
| 3715 | 1 |
| 3694 | 1 |
| 3621 | 1 |
| 3622 | 1 |
| 3723 | 1 |
| 2147 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19266293 | SALES PROMOTION USING PRODUCT COMPARISON | KRINGEN, MICHELLE THERESE | 3689 | DP | Non-Final OA | — | Pending | Jul 11, 2025 |
| 19229049 | CUSTOMER CLUSTERING USING INTEGER PROGRAMMING | JEANTY, ROMAIN | — | §101§102Other | Non-Final OA | — | Pending | Jun 05, 2025 |
| 19098580 | MERCHANDISE RETURN AND/OR EXCHANGE SYSTEMS, METHODS, AND MEDIA | GAW, MARK H | — | §101§103 | Non-Final OA | — | Pending | Apr 02, 2025 |
| 19098626 | SYSTEM AND METHOD FOR USING DATA POINTS COLLECTED FROM A CUSTOMER TO PROVIDE CUSTOMER SPECIFIC OFFERINGS | HAIDER, FAWAAD | — | §101 | Non-Final OA | — | Pending | Apr 02, 2025 |
| 19098229 | SYSTEM AND METHOD PROVIDING PERSONALIZED RECOMMENDATIONS | ELCHANTI, TAREK | — | §101§103Other | Non-Final OA | — | Pending | Apr 02, 2025 |
| 19082837 | LEARNING MANAGEMENT SYSTEM | FRISBY, KESHA | 3715 | §101 | Non-Final OA | — | Pending | Mar 18, 2025 |
| 19063757 | SYSTEMS AND METHODS OF TARGETED INTERACTIONS FOR INTEGRATED RETAIL APPLICATIONS | ZEROUAL, OMAR | — | §101§103 | Non-Final OA | — | Pending | Feb 26, 2025 |
| 19063797 | METHOD AND SYSTEM FOR AUTOMATED TARGETED POLLING VIA AN E-COMMERCE PROMOTIONS PLATFORM | ANDERSON, SCOTT C | 3694 | §101§103 | Final Rejection | — | Pending | Feb 26, 2025 |
| 19064113 | SYSTEMS AND METHODS FOR DISTRIBUTING CUSTOMIZABLE AND SHAREABLE TIERED OFFERS | DAGNEW, SABA | 3621 | §101§103 | Final Rejection | — | Pending | Feb 26, 2025 |
| 18907708 | INTERFACING EVENT DETECTORS WITH A NETWORK INTERFACE | CHANG, YU-WEN | — | DP | Non-Final OA | — | Pending | Oct 07, 2024 |
| 18907114 | INTEGRATED EXPERIENCE FOR APPLICATIONS WITHIN A MOBILE APPLICATION | TILLERY, RASHAWN N | — | DP | Non-Final OA | — | Pending | Oct 04, 2024 |
| 18233104 | WIRELESS IDENTIFIER DEVICE ENABLED INTERACTIVE CONSUMER EXPERIENCE | MACASIANO, MARILYN G | 3622 | §103§112 | Non-Final OA | — | Pending | Aug 11, 2023 |
| 18327117 | STICK VACUUM WITH INDEXING VACUUM HEAD ASSEMBLY | FULL, SIDNEY DANIELLE | 3723 | §103§112 | Non-Final OA | 20d | Pending | Jun 01, 2023 |
| 16366945 | SYSTEM AND METHOD FOR PROVIDING ADVICE AND ASSISTANCE THROUGH TASK-TRACKING SYSTEMS | NGUYEN, NHAT HUY T | 2147 | §103§112 | Non-Final OA | — | Pending | Mar 27, 2019 |
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