Prosecution Insights
Last updated: October 04, 2026

Nb Ventures Inc. Dba Gep

Technology area: Transportation, E-Commerce & Mechanical Systems

3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 6 patents granted in the last 365 days

Analysis

Nb Ventures Inc. Dba Gep maintains 3 pending office actions across the Transportation, E-Commerce & Mechanical Systems technology area. These matters are distributed among 3 distinct examiners, indicating a lack of examiner overlap in the current workload. Furthermore, the portfolio spans 3 distinct art units, which requires the company to navigate diverse examination standards across different mechanical and e-commerce sectors. This distribution suggests that the company's prosecution outcomes are subject to the varied perspectives of multiple examiners rather than a centralized review process.

SALMAN, AVIA ABDULSATTAR is identified as the busiest examiner, currently overseeing 1 pending office action. Since each of the 3 pending actions is handled by a different individual, no single examiner manages more than 1 pending action. The presence of 3 distinct art units for only 3 pending actions highlights a broad technical footprint for a portfolio of this size. Practitioners must prepare for distinct procedural styles across these 3 different units to effectively manage the company's intellectual property interests.

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

Portfolio Summary

3
Total Pending OAs
1
Non-Final OAs
2
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
1
Due this week
0
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.

3
Hard (100%)
0
Medium (0%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 + other2 (67%)
Multi-statute (no §101)1 (33%)

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
3
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.

30 h
Manual time on pending OAs
6 h
Time saved (low, 20%)
10 h
Time saved (mid, 35%)
0.3 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
SALMAN, AVIA ABDULSATTAR 1 48.8% +42.1%
NGUYEN, TAN D 1 24.3% +19.7%
ELKASSABGI, ZAHRA 1 29.2% +41.1%

Hard Cases (3)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.

App #TitleExaminerDue in
18472306 SYSTEM AND METHOD FOR CATEGORY MANAGEMENT NGUYEN, TAN D 7d
18400317 LARGE LANGUAGE MODEL (LLM) BASED DATA PROCESSING IN PROCUREMENT AND SUPPLY CHAIN APPLICATIONS DEVELOPED BY CODELESS PLATFORM SALMAN, AVIA ABDULSATTAR —
18148605 QUERY LANGUAGE TOOL BASED SELF DRIVEN SYSTEM AND METHOD FOR OPERATING ENTERPRISE AND SUPPLY CHAIN APPLICATIONS ELKASSABGI, ZAHRA —

Interview Candidates (3)

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 3 ordered by deadline are shown.

App #TitleExaminerDue in
18472306 SYSTEM AND METHOD FOR CATEGORY MANAGEMENT NGUYEN, TAN D 7d
18400317 LARGE LANGUAGE MODEL (LLM) BASED DATA PROCESSING IN PROCUREMENT AND SUPPLY CHAIN APPLICATIONS DEVELOPED BY CODELESS PLATFORM SALMAN, AVIA ABDULSATTAR —
18148605 QUERY LANGUAGE TOOL BASED SELF DRIVEN SYSTEM AND METHOD FOR OPERATING ENTERPRISE AND SUPPLY CHAIN APPLICATIONS ELKASSABGI, ZAHRA —

Top Art Units

Art UnitApps
3627 1
3629 1
3623 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
18400317 LARGE LANGUAGE MODEL (LLM) BASED DATA PROCESSING IN PROCUREMENT AND SUPPLY CHAIN APPLICATIONS DEVELOPED BY CODELESS PLATFORM SALMAN, AVIA ABDULSATTAR 3627 §101§103 Final Rejection — Pending Dec 29, 2023
18472306 SYSTEM AND METHOD FOR CATEGORY MANAGEMENT NGUYEN, TAN D 3629 §101§112 Final Rejection 7d Pending Sep 22, 2023
18148605 QUERY LANGUAGE TOOL BASED SELF DRIVEN SYSTEM AND METHOD FOR OPERATING ENTERPRISE AND SUPPLY CHAIN APPLICATIONS ELKASSABGI, ZAHRA 3623 §102§103 Non-Final OA — Pending Dec 30, 2022

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