Prosecution Insights
Last updated: October 04, 2026

Sport Clips Inc.

Technology area: Transportation, E-Commerce & Mechanical Systems

1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready

Analysis

Sport Clips Inc. has 1 pending office action in the Transportation, E-Commerce & Mechanical Systems technology area. This action is being handled by 1 distinct examiner within 1 distinct art unit. This indicates a focused prosecution effort for the company's current patent applications. The concentration of 1 pending office action in a single unit suggests that the company is not currently pursuing a broad array of active cases across different technical groups.

The busiest examiner for the portfolio is DELICH, STEPHANIE ZAGARELLA, who is overseeing 1 pending office action. As there is only 1 pending office action in total, this examiner is responsible for the company's entire active docket at the USPTO. The involvement of 1 distinct art unit suggests that the technology being patented is specialized. With 1 distinct examiner assigned, the company's immediate patent strategy is concentrated on a single examination process.

Practitioners should focus on the specific requirements of DELICH, STEPHANIE ZAGARELLA to move the 1 busiest examiner pending case forward. The data reflects a portfolio that is not yet diversified across multiple 1 distinct art units or examiners. This centralized approach simplifies administrative tracking but means the outcome of the 1 pending office action will be the primary determinant of the company's success in the Transportation, E-Commerce & Mechanical Systems sector.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Portfolio Summary

1
Total Pending OAs
1
Non-Final OAs
0
Final Rejections
0
Advisory / Quayle

Response Deadline Pressure

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.

0
Overdue
0
Due this week
1
Due this month
0
Due in next 60 days
0
Due later

Case Difficulty Mix

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.

1
Hard (100%)
0
Medium (0%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 only1 (100%)

Industry Mix

How the docket's pending cases split across USPTO tech-center bands.

0
Life Sciences
0% of docket
0
Information Tech
0% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
1
Mechanical / Eng
100% of docket
0
Business / Other
0% of docket

Time-on-OA Estimate

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.

10 h
Manual time on pending OAs
2 h
Time saved (low, 20%)
4 h
Time saved (mid, 35%)
0.1 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
DELICH, STEPHANIE ZAGARELLA 1 38.7% +36.1%

Hard Cases (1)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.

App #TitleExaminerDue in
18364347 ARTIFICIAL INTELLIGENCE MODELS FOR DYNAMIC SCHEDULING DELICH, STEPHANIE ZAGARELLA 13d

Interview Candidates (1)

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 1 ordered by deadline are shown.

App #TitleExaminerDue in
18364347 ARTIFICIAL INTELLIGENCE MODELS FOR DYNAMIC SCHEDULING DELICH, STEPHANIE ZAGARELLA 13d

Top Art Units

Art UnitApps
3623 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
18364347 ARTIFICIAL INTELLIGENCE MODELS FOR DYNAMIC SCHEDULING DELICH, STEPHANIE ZAGARELLA 3623 §101 Non-Final OA 13d Pending Aug 02, 2023

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