Prosecution Insights
Last updated: October 02, 2026

Actimize Ltd.

Technology area: Transportation, E-Commerce & Mechanical Systems

13 pending office actions • 9 art units • 12 examiners • 0 of 13 (0%) have an AI response strategy ready • 12 patents granted in the last 365 days

Analysis

Actimize Ltd. maintains a robust patent portfolio within the Transportation, E-Commerce & Mechanical Systems technology area. The company is currently managing 13 pending office actions, which are distributed across 12 distinct examiners. This high number of examiners relative to the pending actions indicates a broad exposure to different individual review styles at the USPTO.

The portfolio is further diversified across 9 distinct art units, suggesting that the company's technological interests span a wide range of classifications. The busiest examiner, BUNKER, WILLIAM B, is responsible for 2 pending office actions. This distribution shows that no single examiner holds a dominant share of the company's active matters, as the remaining workload is spread among the other distinct examiners.

With 13 pending office actions and 9 distinct art units, the prosecution strategy must be highly coordinated to ensure consistency across various technical fields. The involvement of 12 distinct examiners requires the company to adapt to a variety of examiner behaviors. This complex landscape of active matters demands a sophisticated approach to portfolio management.

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

Portfolio Summary

13
Total Pending OAs
7
Non-Final OAs
6
Final Rejections
0
Advisory / Quayle

Response Deadline Pressure

Based on the USPTO statutory response window for each pending office action. 7 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.

4
Overdue
1
Due this week
2
Due this month
0
Due in next 60 days
0
Due later

Deadline Fire Line

Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 7 of the docket's apps have a known mailing date.

-30dToday30d60d90d120d
Overdue (4)Due ≤ 7 days (1)Due ≤ 30 days (2)

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.

9
Hard (69%)
3
Medium (23%)
1
Easy (8%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 only4 (31%)
§101 + other5 (38%)
§103 only3 (23%)
§112 only1 (8%)

Industry Mix

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

0
Life Sciences
0% of docket
2
Information Tech
15% of docket
1
Communications
8% of docket
0
Semiconductors
0% of docket
8
Mechanical / Eng
62% of docket
2
Business / Other
15% 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.

130 h
Manual time on pending OAs
26 h
Time saved (low, 20%)
46 h
Time saved (mid, 35%)
1.1 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
BUNKER, WILLIAM B 2 80.2% +94.9%
WASAFF, JOHN S. 1 33.8% +44.0%
WEISBERGER, RICHARD C 1 47.6% -4.3%
SHAH, BHAVIN D 1 41.7% +25.0%
DASGUPTA, SHOURJO 1 65.2% +39.3%
ACOSTA, RILEY SULLIVAN 1 100.0% +0.0%
SCHMIEDER, NICOLE A K 1 68.2% +34.0%
NGUYEN, LIZ P 1 61.1% +6.0%
HASBROUCK, MERRITT J 1 9.8% +7.0%
PARK, YONG S 1 26.0% +11.5%

Quick Wins (1)

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 #TitleExaminerDue in
18629309 MONEY MULE DETECTION USING LINK PREDICTION BUNKER, WILLIAM B 78d overdue

Hard Cases (10)

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 #TitleExaminerDue in
18075445 COMPUTERIZED-METHOD AND COMPUTERIZED-SYSTEM FOR GENERATING A CLASSIFICATION MACHINE LEARNING MODEL FOR IMPLEMENTATION WITH NO TRAINING REQUIREMENT HASBROUCK, MERRITT J 70d overdue
18630468 FRAUD ANALYSIS USING MACHINE LEARNING AND GENERATIVE ARTIFICIAL INTELLIGENCE BUNKER, WILLIAM B 8d overdue
18758683 SYSTEM AND METHOD FOR DETERMINING TRUST INDICATORS WASAFF, JOHN S. 7d
18079910 COMPUTERIZED-METHOD AND COMPUTERIZED-SYSTEM FOR IDENTIFYING FRAUD TRANSACTIONS IN TRANSACTIONS CLASSIFIED AS LEGIT TRANSACTIONS BY A CLASSIFICATION MACHINE LEARNING MODEL NGUYEN, LIZ P 21d
18752248 SMART PEER GROUPING OF BANK CUSTOMERS USING FUZZY K-MODE WEISBERGER, RICHARD C —
18665327 SYSTEM AND METHOD FOR EVALUATING A FINANCIAL CRIME ALERT SHAH, BHAVIN D —
18585203 SYSTEM AND METHOD FOR EMPIRICAL PROMPT TUNING DASGUPTA, SHOURJO —
18422736 AUTOMATED SUSPICIOUS ACTIVITY REPORT NARRATIVE GENERATION USING GENERATIVE ARTIFICIAL INTELLIGENCE ACOSTA, RILEY SULLIVAN —

Interview Candidates (7)

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 7 ordered by deadline are shown.

App #TitleExaminerDue in
18629309 MONEY MULE DETECTION USING LINK PREDICTION BUNKER, WILLIAM B 78d overdue
18630468 FRAUD ANALYSIS USING MACHINE LEARNING AND GENERATIVE ARTIFICIAL INTELLIGENCE BUNKER, WILLIAM B 8d overdue
18758683 SYSTEM AND METHOD FOR DETERMINING TRUST INDICATORS WASAFF, JOHN S. 7d
18665327 SYSTEM AND METHOD FOR EVALUATING A FINANCIAL CRIME ALERT SHAH, BHAVIN D —
18585203 SYSTEM AND METHOD FOR EMPIRICAL PROMPT TUNING DASGUPTA, SHOURJO —
18520586 COMPUTERIZED-METHOD FOR COMPREHENSIVE TEXT SUMMARIZATION QUALITY ASSESSMENT WITH RANK-BASED NORMALIZATION AND WEIGHTED HIERARCHICAL RANKING SCHMIEDER, NICOLE A K —
18046195 USAGE OF EMOTION RECOGNITION IN TRADE MONITORING PARK, YONG S —

Top Art Units

Art UnitApps
3694 2
3691 2
3629 1
3693 1
2659 1
3696 1
3695 1
2129 1
2142 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
18758683 SYSTEM AND METHOD FOR DETERMINING TRUST INDICATORS WASAFF, JOHN S. 3629 §101 Non-Final OA 7d Pending Jun 28, 2024
18752248 SMART PEER GROUPING OF BANK CUSTOMERS USING FUZZY K-MODE WEISBERGER, RICHARD C 3693 §101 Final Rejection — Pending Jun 24, 2024
18665327 SYSTEM AND METHOD FOR EVALUATING A FINANCIAL CRIME ALERT SHAH, BHAVIN D 3694 §101 Final Rejection — Pending May 15, 2024
18630468 FRAUD ANALYSIS USING MACHINE LEARNING AND GENERATIVE ARTIFICIAL INTELLIGENCE BUNKER, WILLIAM B 3691 §101§103 Non-Final OA 8d overdue Pending Apr 09, 2024
18629309 MONEY MULE DETECTION USING LINK PREDICTION BUNKER, WILLIAM B 3691 §103 Non-Final OA 78d overdue Pending Apr 08, 2024
18585203 SYSTEM AND METHOD FOR EMPIRICAL PROMPT TUNING DASGUPTA, SHOURJO — §101§103 Non-Final OA — Pending Feb 23, 2024
18422736 AUTOMATED SUSPICIOUS ACTIVITY REPORT NARRATIVE GENERATION USING GENERATIVE ARTIFICIAL INTELLIGENCE ACOSTA, RILEY SULLIVAN — §101§103 Non-Final OA — Pending Jan 25, 2024
18520586 COMPUTERIZED-METHOD FOR COMPREHENSIVE TEXT SUMMARIZATION QUALITY ASSESSMENT WITH RANK-BASED NORMALIZATION AND WEIGHTED HIERARCHICAL RANKING SCHMIEDER, NICOLE A K 2659 §101§112 Final Rejection — Pending Nov 28, 2023
18079910 COMPUTERIZED-METHOD AND COMPUTERIZED-SYSTEM FOR IDENTIFYING FRAUD TRANSACTIONS IN TRANSACTIONS CLASSIFIED AS LEGIT TRANSACTIONS BY A CLASSIFICATION MACHINE LEARNING MODEL NGUYEN, LIZ P 3696 §101 Non-Final OA 21d Pending Dec 13, 2022
18075445 COMPUTERIZED-METHOD AND COMPUTERIZED-SYSTEM FOR GENERATING A CLASSIFICATION MACHINE LEARNING MODEL FOR IMPLEMENTATION WITH NO TRAINING REQUIREMENT HASBROUCK, MERRITT J 3695 §101§103 Non-Final OA 70d overdue Pending Dec 06, 2022
18046195 USAGE OF EMOTION RECOGNITION IN TRADE MONITORING PARK, YONG S 3694 §112 Final Rejection — Pending Oct 13, 2022
17831159 LTP-INDUCED ONLINE INCREMENTAL DEEP LEARNING ALABI, OLUWATOSIN O 2129 §103 Final Rejection 15d overdue Pending Jun 02, 2022
17494176 TRAINING A MACHINE LEARNING MODEL USING INCREMENTAL LEARNING WITHOUT FORGETTING MILLER, ALEXANDRIA JOSEPHINE 2142 §103 Final Rejection 8d Pending Oct 05, 2021

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