Prosecution Insights
Prosecution Insights
23 pending office actions • 11 art units • 20 examiners • 0 of 23 (0%) have an AI response strategy ready • 68 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 23 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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. 23 of the docket's apps have a known mailing date.
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 | 12 (52%) |
| §103 only | 9 (39%) |
| §102 only | 1 (4%) |
| §112 only | 1 (4%) |
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 |
|---|---|---|---|
| WEINER, ARIELLE E | 3 | 43.3% | +53.0% |
| LUDWIG, PETER L | 2 | 35.4% | +23.9% |
| SMITH, LINDSEY B | 1 | 51.7% | +54.5% |
| JARRETT, SCOTT L | 1 | 52.1% | +48.1% |
| FRUNZI, VICTORIA E. | 1 | 24.7% | +24.4% |
| KANG, TIMOTHY J | 1 | 46.1% | +25.0% |
| ALI, HATEM M | 1 | 44.2% | +26.1% |
| GARG, YOGESH C | 1 | 61.6% | +33.4% |
| MOORE, REVA R | 1 | 52.7% | +50.7% |
| WU, NICHOLAS S | 1 | 51.2% | +39.5% |
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 |
|---|---|---|---|
| 18113868 | DYNAMIC REPLENISHMENT OF ITEMS STAGED TO A RAPID FULFILLMENT AREA IN ASSOCIATION WITH AN ONLINE CONCIERGE SYSTEM | MUTSCHLER, JOSEPH M | 52d overdue |
| 18072353 | DETERMINING SEARCH RESULTS FOR AN ONLINE SHOPPING CONCIERGE PLATFORM | MITROS, ANNA MAE | 43d overdue |
| 18079317 | SELECTING PICKERS FOR SERVICE REQUESTS BASED ON OUTPUT OF COMPUTER MODEL TRAINED TO PREDICT ACCEPTANCES | LUDWIG, PETER L | 38d overdue |
| 18140210 | Feature Recommendations for Machine Learning Models Using Trained Feature Prediction Model | WU, NICHOLAS S | 25d overdue |
| 18172956 | VERIFYING ITEMS IN A SHOPPING CART BASED ON WEIGHTS MEASURED FOR THE ITEMS | CHISM, STEVEN R | 18d overdue |
| 18213764 | SUGGESTING FULFILLMENT SOURCES FOR A USER AT A NEW LOCATION BASED ON USER'S HISTORICAL ACTIVITY | KANG, TIMOTHY J | 9d overdue |
| 18140203 | Feature Recommendations for Machine Learning Models Based on Feature-Model Co-Occurrences | LEE, MICHAEL CHRISTOPHER | 9d overdue |
| 17478411 | RANKING SUGGESTIONS FOR COMPLETING A SEARCH QUERY BASED ON LIKELIHOOD OF A USER INCLUDING ITEMS CORRESPONDING TO THE SUGGESTIONS IN AN ORDER | WEINER, ARIELLE E | 4d overdue |
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 |
|---|---|---|---|
| 18079317 | SELECTING PICKERS FOR SERVICE REQUESTS BASED ON OUTPUT OF COMPUTER MODEL TRAINED TO PREDICT ACCEPTANCES | LUDWIG, PETER L | 38d overdue |
| 18141397 | DETERMINING LIMITS FOR ATTRIBUTES OF AN ORDER FOR FULFILLMENT BY A PICKER USING A MACHINE-LEARNING MODEL | MOORE, REVA R | 30d overdue |
| 18140210 | Feature Recommendations for Machine Learning Models Using Trained Feature Prediction Model | WU, NICHOLAS S | 25d overdue |
| 17955407 | MACHINE LEARNING BASED RESOURCE ALLOCATION OPTIMIZATION | LUDWIG, PETER L | 23d overdue |
| 18213764 | SUGGESTING FULFILLMENT SOURCES FOR A USER AT A NEW LOCATION BASED ON USER'S HISTORICAL ACTIVITY | KANG, TIMOTHY J | 9d overdue |
| 17478411 | RANKING SUGGESTIONS FOR COMPLETING A SEARCH QUERY BASED ON LIKELIHOOD OF A USER INCLUDING ITEMS CORRESPONDING TO THE SUGGESTIONS IN AN ORDER | WEINER, ARIELLE E | 4d overdue |
| 18213756 | IDENTIFYING AN ANOMALOUS TRANSACTION BY COMPARING A METRIC FOR THE TRANSACTION AGAINST A MODEL-DERIVED EXPECTED DISTRIBUTION OF THE METRIC | ALI, HATEM M | 9d |
| 18129464 | PREDICTIVE PICKING OF ITEMS FOR PREPOPULATING A SHOPPING CART FOR A SHOPPER | WEINER, ARIELLE E | 15d |
| Art Unit | Apps |
|---|---|
| 3689 | 7 |
| 3627 | 6 |
| 3688 | 2 |
| 3625 | 1 |
| 3691 | 1 |
| 2148 | 1 |
| 2128 | 1 |
| 3626 | 1 |
| 3692 | 1 |
| 3624 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18217329 | MODIFYING RANKINGS OF ITEMS IN SEARCH RESULTS BASED ON ITEM AVAILABILITIES AND SEARCH QUERY ATTRIBUTES | SMITH, LINDSEY B | 3688 | §102 | Non-Final OA | 70d | Pending | Jun 30, 2023 |
| 18214316 | TRAINED MODELS FOR PREDICTING TIMES FOR COMPLETION OF TASKS FOR AN ORDER PLACED WITH AN ONLINE SYSTEM AND DETERMINING REMEDIAL ACTIONS | JARRETT, SCOTT L | 3625 | §101 | Non-Final OA | 29d | Pending | Jun 26, 2023 |
| 18214150 | MACHINE-LEARNED MODEL FOR PERSONALIZING SERVICE OPTIONS IN AN ONLINE CONCIERGE SYSTEM USING LOCATION FEATURES | FRUNZI, VICTORIA E. | 3689 | §101 | Final Rejection | 61d | Pending | Jun 26, 2023 |
| 18213764 | SUGGESTING FULFILLMENT SOURCES FOR A USER AT A NEW LOCATION BASED ON USER'S HISTORICAL ACTIVITY | KANG, TIMOTHY J | 3689 | §101 | Final Rejection | 9d overdue | Pending | Jun 23, 2023 |
| 18213756 | IDENTIFYING AN ANOMALOUS TRANSACTION BY COMPARING A METRIC FOR THE TRANSACTION AGAINST A MODEL-DERIVED EXPECTED DISTRIBUTION OF THE METRIC | ALI, HATEM M | 3691 | §103 | Non-Final OA | 9d | Pending | Jun 23, 2023 |
| 18326900 | Predicting Replacement Items using a Machine-Learning Replacement Model | GARG, YOGESH C | 3688 | §112 | Non-Final OA | 16d | Pending | May 31, 2023 |
| 18141397 | DETERMINING LIMITS FOR ATTRIBUTES OF AN ORDER FOR FULFILLMENT BY A PICKER USING A MACHINE-LEARNING MODEL | MOORE, REVA R | 3627 | §103 | Final Rejection | 30d overdue | Pending | Apr 29, 2023 |
| 18140210 | Feature Recommendations for Machine Learning Models Using Trained Feature Prediction Model | WU, NICHOLAS S | 2148 | §101 | Non-Final OA | 25d overdue | Pending | Apr 27, 2023 |
| 18140203 | Feature Recommendations for Machine Learning Models Based on Feature-Model Co-Occurrences | LEE, MICHAEL CHRISTOPHER | 2128 | §101 | Non-Final OA | 9d overdue | Pending | Apr 27, 2023 |
| 18129464 | PREDICTIVE PICKING OF ITEMS FOR PREPOPULATING A SHOPPING CART FOR A SHOPPER | WEINER, ARIELLE E | 3689 | §101 | Non-Final OA | 15d | Pending | Mar 31, 2023 |
| 18184565 | MANAGING APPEASEMENT REQUESTS USING USER SEGMENTATION | HATCH, ANGELA MAIDA | 3626 | §103 | Final Rejection | 70d overdue | Pending | Mar 15, 2023 |
| 18113866 | PREDICTIVE PICKING OF ITEMS FOR STAGING IN A RAPID FULFILLMENT AREA IN ASSOCIATION WITH AN ONLINE CONCIERGE SYSTEM | SULLIVAN, JESSICA E | 3627 | §103 | Final Rejection | 20d | Pending | Feb 24, 2023 |
| 18113868 | DYNAMIC REPLENISHMENT OF ITEMS STAGED TO A RAPID FULFILLMENT AREA IN ASSOCIATION WITH AN ONLINE CONCIERGE SYSTEM | MUTSCHLER, JOSEPH M | 3627 | §101 | Non-Final OA | 52d overdue | Pending | Feb 24, 2023 |
| 18113874 | DETERMINING ITEM DESIRABILITY TO USERS BASED ON ITEM ATTRIBUTES AND ITEM EXPIRATION DATE | WEINER, ARIELLE E | 3689 | §103 | Final Rejection | 22d | Pending | Feb 24, 2023 |
| 18172956 | VERIFYING ITEMS IN A SHOPPING CART BASED ON WEIGHTS MEASURED FOR THE ITEMS | CHISM, STEVEN R | 3692 | §101 | Final Rejection | 18d overdue | Pending | Feb 22, 2023 |
| 18079317 | SELECTING PICKERS FOR SERVICE REQUESTS BASED ON OUTPUT OF COMPUTER MODEL TRAINED TO PREDICT ACCEPTANCES | LUDWIG, PETER L | 3627 | §101 | Non-Final OA | 38d overdue | Pending | Dec 12, 2022 |
| 18072353 | DETERMINING SEARCH RESULTS FOR AN ONLINE SHOPPING CONCIERGE PLATFORM | MITROS, ANNA MAE | 3689 | §101 | Final Rejection | 43d overdue | Pending | Nov 30, 2022 |
| 17955407 | MACHINE LEARNING BASED RESOURCE ALLOCATION OPTIMIZATION | LUDWIG, PETER L | 3627 | §103 | Final Rejection | 23d overdue | Pending | Sep 28, 2022 |
| 17935091 | GENERATING ORDER BATCHES FOR AN ONLINE CONCIERGE SYSTEM | BURSUM, KIMBERLY SUZANNE | 3627 | §101 | Final Rejection | 26d | Pending | Sep 24, 2022 |
| 17900533 | SIMULATING AN APPLICATION OF A TREATMENT ON A DEMAND SIDE AND A SUPPLY SIDE ASSOCIATED WITH AN ONLINE SYSTEM | KOESTER, MICHAEL RICHARD | 3624 | §103 | Final Rejection | 45d overdue | Pending | Aug 31, 2022 |
| 17751521 | INFERRING ATTRIBUTION OF TARGET ACTIONS FOR RECIPE SUGGESTIONS | SULLIVAN, THOMAS J | 3689 | §103 | Final Rejection | 80d overdue | Pending | May 23, 2022 |
| 17726385 | SYSTEM FOR ITEM RECOGNITION USING COMPUTER VISION | WAMBST, DAVID ALEXANDER | 2663 | §103 | Non-Final OA | 30d overdue | Pending | Apr 21, 2022 |
| 17478411 | RANKING SUGGESTIONS FOR COMPLETING A SEARCH QUERY BASED ON LIKELIHOOD OF A USER INCLUDING ITEMS CORRESPONDING TO THE SUGGESTIONS IN AN ORDER | WEINER, ARIELLE E | 3689 | §101 | Final Rejection | 4d overdue | Pending | Sep 17, 2021 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial