Technology area: Transportation, E-Commerce & Mechanical Systems
94 pending office actions • 28 art units • 67 examiners • 0 of 94 (0%) have an AI response strategy ready • 109 patents granted in the last 365 days
Maplebear Inc. has 98 pending office actions in Transportation, E-Commerce & Mechanical Systems. The portfolio spans 71 distinct examiners and 28 distinct art units, reflecting a substantial docket with repeated technical-unit assignments and a wide examiner footprint.
FRUNZI, VICTORIA E. is the busiest examiner, with 7 pending matters. The concentration supports centralized review of those cases, including recurring claim and response issues. The larger distribution requires a broader operating model that organizes matters by art unit while preserving examiner-specific prosecution history across 71 relationships.
Based on the USPTO statutory response window for each pending office action. 31 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. 31 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 | 37 (39%) |
| §101 + other | 38 (40%) |
| §103 only | 12 (13%) |
| Double-patenting only | 4 (4%) |
| Multi-statute (no §101) | 2 (2%) |
| No statute on record | 1 (1%) |
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 |
|---|---|---|---|
| FRUNZI, VICTORIA E. | 7 | 25.3% | +24.5% |
| WEINER, ARIELLE E | 4 | 43.4% | +53.6% |
| JEANTY, ROMAIN | 3 | 75.8% | +19.5% |
| LEVINE, ADAM L | 3 | 35.9% | +40.0% |
| KANG, TIMOTHY J | 3 | 45.5% | +27.0% |
| SEIBERT, CHRISTOPHER B | 2 | 58.2% | +41.3% |
| PRESTON, ASHLEY DAWN | 2 | 42.9% | +27.5% |
| SINGH, RUPANGINI | 2 | 35.2% | +52.2% |
| LOHARIKAR, ANAND R | 2 | 70.1% | +25.7% |
| MUTSCHLER, JOSEPH M | 2 | 60.6% | +48.2% |
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 |
|---|---|---|---|
| 18614563 | USING A TRAINED MODEL TO PREDICT AND PREVENT FAILED DELIVERIES | CLARE, MARK C | 37d overdue |
| 18769202 | Personalized Ranking of Search Query Results Using Engagement-Independent Machine Learning Model for Cold-Start Items | PRESTON, ASHLEY DAWN | 23d overdue |
| 18442878 | Predictive Model for Key Item Classification and Fulfillment | ALLEN, WILLIAM J | 17d overdue |
| 18626801 | USER INTERFACE FOR DISPLAYING MODEL-BASED PREDICTION OF ORDER FEATURES | CRAWLEY, TALIA F | 16d overdue |
| 18532541 | Selecting Item Images for an Online Shopping Concierge Platform | MISIASZEK, MICHAEL | 16d overdue |
| 18236371 | DETERMINING GENERIC ITEMS FOR ORDERS ON AN ONLINE CONCIERGE SYSTEM | WILDER, ANDREW H | 4d overdue |
| 18898272 | SELECTING A LOCATION FOR ORDER FULFILLMENT BASED ON MACHINE LEARNING MODEL PREDICTION OF INCOMPLETE FULFILLMENT OF THE ORDER FOR DIFFERENT LOCATIONS | LEVINE, ADAM L | 3d overdue |
| 18967681 | TRAINING A MODEL TO PREDICT LIKELIHOODS OF USERS PERFORMING AN ACTION AFTER BEING PRESENTED WITH A CONTENT ITEM | WAESCO, JOSEPH M | 7d |
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 |
|---|---|---|---|
| 18769202 | Personalized Ranking of Search Query Results Using Engagement-Independent Machine Learning Model for Cold-Start Items | PRESTON, ASHLEY DAWN | 23d overdue |
| 18898272 | SELECTING A LOCATION FOR ORDER FULFILLMENT BASED ON MACHINE LEARNING MODEL PREDICTION OF INCOMPLETE FULFILLMENT OF THE ORDER FOR DIFFERENT LOCATIONS | LEVINE, ADAM L | 3d overdue |
| 19000089 | PICKING SEQUENCE OPTIMIZATION WITHIN A WAREHOUSE FOR AN ITEM LIST | JEANTY, ROMAIN | 8d |
| 18488811 | TRAINED COMPUTER MODELS FOR AUTOMATIC SUGGESTION OF ALTERNATIVE ITEMS IN AN ORDER | KANG, TIMOTHY J | 20d |
| 18906012 | Self-Checkout Anti-Theft Vehicle Systems And Methods | MUTSCHLER, JOSEPH M | 28d |
| 18771748 | MEAL PLANNING USER INTERFACE WITH LARGE LANGUAGE MODELS | SEIBERT, CHRISTOPHER B | 28d |
| 18587655 | GENERATING QUERIES FOR USERS OF AN ONLINE SYSTEM USING LARGE LANGUAGE MACHINE-LEARNED MODELS AND PRESENTING THE QUERIES ON A USER INTERFACE | KANG, TIMOTHY J | 33d |
| 18532978 | PREDICTING AVAILABILITIES OF ITEMS AT LOCATIONS BASED ON AVAILABILITY FLUCTUATIONS AT DIFFERENT TIMES OF DAY | WEINER, ARIELLE E | 84d |
| Art Unit | Apps |
|---|---|
| 3689 | 29 |
| 3688 | 14 |
| 3628 | 6 |
| 3624 | 5 |
| 3625 | 5 |
| 3627 | 4 |
| 2163 | 2 |
| 2156 | 2 |
| 2159 | 2 |
| 3621 | 2 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19294019 | AUTOMATED SAMPLING OF QUERY RESULTS FOR TRAINING OF A QUERY ENGINE | THAI, HANH B | 2163 | DP | Non-Final OA | — | Pending | Aug 07, 2025 |
| 19281710 | USER INTERFACE FOR ACCESSING MULTIPLE CATALOGS OF ITEMS AND INDICATING ITEMS ADDED FROM CATALOGS | SEIBERT, CHRISTOPHER B | 3688 | DP | Non-Final OA | — | Pending | Jul 27, 2025 |
| 19274955 | MACHINE LEARNING MODEL FOR DETERMINING A TIME INTERVAL TO DELAY BATCHING DECISION FOR AN ORDER RECEIVED BY AN ONLINE CONCIERGE SYSTEM TO COMBINE ORDERS WHILE MINIMIZING PROBABILITY OF LATE FULFILLMENT | JEANTY, ROMAIN | 3624 | §101 | Non-Final OA | — | Pending | Jul 21, 2025 |
| 19272278 | ALLOCATING SHOPPERS FOR ORDER FULFILLMENT BY AN ONLINE CONCIERGE SYSTEM ACCOUNTING FOR VARIABLE NUMBERS OF SHOPPERS ACROSS DIFFERENT TIME WINDOWS AND VARYING CAPABILITIES FOR FULFILLING ORDERS | JARRETT, SCOTT L | — | §101Other | Non-Final OA | — | Pending | Jul 17, 2025 |
| 19256149 | METHOD, COMPUTER PROGRAM PRODUCT, AND SYSTEM FOR TRAINING A MACHINE LEARNING MODEL TO GENERATE USER EMBEDDINGS AND RECIPE EMBEDDINGS IN A COMMON LATENT SPACE FOR RECOMMENDING ONE OR MORE RECIPES TO A USER | PRESTON, ASHLEY DAWN | 3688 | DP | Non-Final OA | — | Pending | Jul 01, 2025 |
| 19244538 | Counterfactual Evaluation of Policies for Categories of Items Using Machine Learning Prediction of Outcomes | JEANTY, ROMAIN | 3623 | §101§102 | Non-Final OA | — | Pending | Jun 20, 2025 |
| 19241177 | CERTIFIED DELIVERIES OF HIGH-VALUE ITEMS | SINGH, RUPANGINI | 3628 | §101 | Non-Final OA | — | Pending | Jun 17, 2025 |
| 19217918 | DETECTING USER ACTIONS BASED ON SMART CART SENSOR DATA | KONERU, SUJAY | 3624 | §103 | Non-Final OA | — | Pending | May 23, 2025 |
| 19217924 | HIGHLIGHTING TARGET ITEMS IN IMAGES CAPTURED BY SMART CARTS | ZIMMERMAN, JEFFREY P | 3628 | §101§103§112 | Non-Final OA | — | Pending | May 23, 2025 |
| 19208438 | CONTEXTUAL BANDIT MODEL FOR QUERY PROCESSING MODEL SELECTION | HARPER, ELIYAH STONE | 2166 | §103Other | Final Rejection | 15d overdue | Pending | May 14, 2025 |
| 19207116 | QUERY REFORMULATIONS FOR AN ITEM GRAPH | LOHARIKAR, ANAND R | 3689 | §101Other | Non-Final OA | — | Pending | May 13, 2025 |
| 19086482 | Self-Checkout Anti-Theft Vehicle Systems And Methods | MUTSCHLER, JOSEPH M | 3627 | §101§103 | Non-Final OA | — | Pending | Mar 21, 2025 |
| 19081866 | METHOD, MEDIUM, AND SYSTEM FOR RENDERING OF A PHYSICAL SPACE IN A VIRTUAL REALITY ENVIRONMENT | ZIMMERMAN, MATTHEW E | — | §101§103Other | Non-Final OA | — | Pending | Mar 17, 2025 |
| 19062640 | IDENTIFYING CANDIDATE REPLACEMENT ITEMS WITH A SOURCE SIMILARITY SCORE | ROSEN, NICHOLAS D | 3689 | §101§103§112 | Non-Final OA | — | Pending | Feb 25, 2025 |
| 19041590 | DYNAMICALLY GENERATING DESCRIPTIONS FOR ITEM GROUPINGS USING A MULTI-MODAL LARGE-LANGUAGE MODEL | BECKER, TYLER JUSTIN | 2657 | §101§103§112 | Non-Final OA | — | Pending | Jan 30, 2025 |
| 19034409 | DISPLAYING A DIGITAL REPRESENTATION OF AN ITEM TO A USER DURING ORDER FULFILLMENT | BARGEON, BRITTANY E | 3688 | §101§103Other | Non-Final OA | — | Pending | Jan 22, 2025 |
| 19030474 | USING LARGE-SCALE MACHINE-LEARNING MODELS FOR ORDER GENERATION FROM RECEIPT IMAGES | LEVINE, ADAM L | 3689 | §101§102§103§112 | Non-Final OA | — | Pending | Jan 17, 2025 |
| 19015493 | QUERY-PRODUCT ATTRIBUTE FEATURES WITH MACHINE-LEARNING LANGUAGE LEARNING MODELS | LEVINE, ADAM L | 3689 | §101§103 | Non-Final OA | — | Pending | Jan 09, 2025 |
| 19012864 | TRAINING A MACHINE LEARNED MODEL TO DETERMINE RELEVANCE OF ITEMS TO A QUERY USING DIFFERENT SETS OF TRAINING DATA FROM A COMMON DOMAIN | GANGER, LAUREN ZANNAH | 2156 | DP | Non-Final OA | — | Pending | Jan 08, 2025 |
| 19000089 | PICKING SEQUENCE OPTIMIZATION WITHIN A WAREHOUSE FOR AN ITEM LIST | JEANTY, ROMAIN | 3624 | §101 | Final Rejection | 8d | Pending | Dec 23, 2024 |
| 19000108 | PROMPT ADAPTATION FOR MACHINE-LEARNING LARGE LANGUAGE MODELS (LLMS) | WILLIS, AMANDA LYNN | 2156 | §103§112 | Non-Final OA | 27d | Pending | Dec 23, 2024 |
| 18972522 | USING MACHINE-LEARNING LARGE LANGUAGE MODELS TO PERFORM SMART ORDER UPDATES | SINGH, RUPANGINI | 3628 | §101 | Final Rejection | — | Pending | Dec 06, 2024 |
| 18967681 | TRAINING A MODEL TO PREDICT LIKELIHOODS OF USERS PERFORMING AN ACTION AFTER BEING PRESENTED WITH A CONTENT ITEM | WAESCO, JOSEPH M | 3625 | §101 | Final Rejection | 7d | Pending | Dec 04, 2024 |
| 18967678 | AUTOMATIC SELECTION OF DYNAMIC DATA ENTRIES FOR MULTIPLE DYNAMIC DATABASES | FRUNZI, VICTORIA E. | 3689 | §101Other | Non-Final OA | — | Pending | Dec 04, 2024 |
| 18963705 | UNIFIED EMBEDDING MODEL FOR INFORMATION RETRIEVAL AND CUSTOMIZATION | SPIELER, WILLIAM | 2159 | §101§103§112 | Final Rejection | — | Pending | Nov 28, 2024 |
| 18961059 | TEXT-BASED EMBEDDINGS OF TREATMENTS FOR WARM-STARTING UPLIFT MODELS | PATEL, DIPEN M | 3621 | §101§103 | Non-Final OA | — | Pending | Nov 26, 2024 |
| 18951399 | USING MACHINE-LEARNING MODEL OF AN ONLINE SYSTEM TO GENERATE A SOURCE-RELATED CONFIDENCE SCORE FOR SERVICING A LIST OF COMPONENTS REQUESTED BY AN ONLINE PLATFORM | WEINER, ARIELLE E | 3689 | §101 | Non-Final OA | — | Pending | Nov 18, 2024 |
| 18948027 | ENABLING MULTI-LANGUAGE COLD START SEARCH USING A LARGE LANGUAGE MODEL | REN, ZHUBING | 2658 | §103 | Final Rejection | — | Pending | Nov 14, 2024 |
| 18943691 | INTEGRATING FEATURED PRODUCT RECOMMENDATIONS IN APPLICATIONS WITH MACHINE-LEARNED LARGE LANGUAGE MODELS (LLMS) | UBALE, GAUTAM | 3689 | §101§103§112 | Final Rejection | — | Pending | Nov 11, 2024 |
| 18933820 | USING A LARGE LANGUAGE MODEL FOR ALTERNATIVE INGREDIENT DETERMINATION | LADONI, AHOORA | 3689 | §101§103 | Final Rejection | — | Pending | Oct 31, 2024 |
| 18916461 | OPTIMIZING TASK ASSIGNMENTS IN A DELIVERY SYSTEM | SINGH, GURKANWALJIT | 3625 | §101 | Final Rejection | — | Pending | Oct 15, 2024 |
| 18906012 | Self-Checkout Anti-Theft Vehicle Systems And Methods | MUTSCHLER, JOSEPH M | 3627 | §101§103§112 | Final Rejection | 28d | Pending | Oct 03, 2024 |
| 18898272 | SELECTING A LOCATION FOR ORDER FULFILLMENT BASED ON MACHINE LEARNING MODEL PREDICTION OF INCOMPLETE FULFILLMENT OF THE ORDER FOR DIFFERENT LOCATIONS | LEVINE, ADAM L | 3689 | §101 | Final Rejection | 3d overdue | Pending | Sep 26, 2024 |
| 18893843 | USING A MACHINE-LEARNING MODEL TO GENERATE SUBSEQUENT ORDERS FOR PREVIOUSLY UNOBTAINED ITEMS | MITROS, ANNA MAE | 3689 | §101 | Non-Final OA | — | Pending | Sep 23, 2024 |
| 18892150 | GENERATING AN ITEM SELECTION SEQUENCE USING A MACHINE LEARNING MODEL FOR IDENTIFYING FOUNDATIONAL ITEMS | LOHARIKAR, ANAND R | 3689 | §101 | Final Rejection | — | Pending | Sep 20, 2024 |
| 18885294 | ANOMALY DETECTION AND USER ATTRIBUTION USING MACHINE-LEARNING LARGE LANGUAGE MODELS | TRAN, TAN H | 2141 | §101§103 | Non-Final OA | — | Pending | Sep 13, 2024 |
| 18827318 | LEVERAGING DATA FOR PLATFORM SUPPORT USING LARGE LANGUAGE MACHINE-LEARNED MODEL-BASED AGENTS | LEE, JENNIFER V | 3688 | §103 | Final Rejection | — | Pending | Sep 06, 2024 |
| 18820097 | REINFORCEMENT LEARNING BASED OPTIMIZATION OF TEXTUAL ARTIFACTS USING GENERATIVE ARTIFICIAL INTELLIGENCE | BEAN, GRIFFIN TANNER | 2121 | §101§103 | Non-Final OA | — | Pending | Aug 29, 2024 |
| 18785665 | GENERATING ARTIFICIAL INTELLIGENCE (AI)-BASED IMAGES USING LARGE LANGUAGE MACHINE-LEARNED MODELS | STATZ, BENJAMIN TOM | 2611 | §103§112 | Final Rejection | 23d | Pending | Jul 26, 2024 |
| 18775459 | Using a Machine Learning Model to Recommend Items from an Image of a Checkout Line Captured by a Client Device of a Picker Fulfilling an Order | FRUNZI, VICTORIA E. | 3689 | §101 | Non-Final OA | — | Pending | Jul 17, 2024 |
| 18776104 | CUSTOMIZING RECIPES GENERATED FROM ONLINE SEARCH HISTORY USING MACHINE-LEARNED MODELS | MACKES, KRIS E | 2153 | §103 | Final Rejection | — | Pending | Jul 17, 2024 |
| 18775446 | PREDICTING USER BEHAVIOR FROM AN INITIAL CONVERSION EVENT | HENRY, MATTHEW D | 3625 | §101 | Non-Final OA | — | Pending | Jul 17, 2024 |
| 18772774 | USER EMBEDDING GENERATION USING LLM-GENERATED CONTENT EMBEDDINGS | SULLIVAN, THOMAS J | 3689 | §101 | Final Rejection | 23d | Pending | Jul 15, 2024 |
| 18771748 | MEAL PLANNING USER INTERFACE WITH LARGE LANGUAGE MODELS | SEIBERT, CHRISTOPHER B | 3688 | §101§103§112 | Final Rejection | 28d | Pending | Jul 12, 2024 |
| 18769202 | Personalized Ranking of Search Query Results Using Engagement-Independent Machine Learning Model for Cold-Start Items | PRESTON, ASHLEY DAWN | 3688 | §101§103 | Final Rejection | 23d overdue | Pending | Jul 10, 2024 |
| 18753912 | RECOMMENDING CONTENT BASED ON A PREDICTED EXPLORATION SCORE FOR AN ONLINE SYSTEM USER | SULLIVAN, THOMAS J | 3689 | §101 | Non-Final OA | — | Pending | Jun 25, 2024 |
| 18678484 | MACHINE LEARNED MODEL FOR ITEM RECOMMENDATIONS FOLLOWING FAILED ATTEMPTS | MISIASZEK, MICHAEL | 3688 | §101 | Final Rejection | 70d | Pending | May 30, 2024 |
| 18677640 | USING GENERATIVE ARTIFICIAL INTELLIGENCE (AI) FOR AUTOMATED DIGITAL FLYER CONTENT GENERATION | ANSARI, AZAM A | 3621 | §101§103 | Final Rejection | — | Pending | May 29, 2024 |
| 18677770 | PREDICTING USER LOCATION DURING AN ATTENDED DELIVERY USING A MACHINE LEARNED MODEL | WALSH, EMMETT K | 3628 | §101 | Final Rejection | 29d | Pending | May 29, 2024 |
| 18676345 | Machine Learning Prediction of User Type for Generating Personalized User Interface for an Online System | SMITH, LINDSEY B | 3688 | §101§103 | Final Rejection | 70d | Pending | May 28, 2024 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free TrialMaplebear Inc. has 94 pending office actions as of October 2026, spread across 28 art units and 67 examiners.
Victoria E. Frunzi has the most, with 7 of Maplebear Inc.'s pending office actions.
Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.
