Last updated: October 10, 2026

Maplebear Inc.

Technology area: Transportation, E-Commerce & Mechanical Systems

108 pending office actions • 20 art units • 76 examiners • 0 of 108 (0%) have an AI response strategy ready • 102 patents granted in the last 365 days

Analysis

Maplebear Inc. has 109 pending office actions in Transportation, E-Commerce & Mechanical Systems. These actions are distributed among 77 distinct examiners and 20 distinct art units. This shows a significant volume of work being processed by a large group of examiners. The involvement of 20 distinct art units suggests a wide-ranging technological focus within the e-commerce and transportation fields, requiring a versatile prosecution strategy.

FRUNZI, VICTORIA E. is the busiest examiner, managing 7 of the 109 pending office actions. While 77 distinct examiners are involved, the busiest examiner holds a notable portion of the work. The 20 distinct art units reflect the complexity of the portfolio, as the company must navigate many different technical standards at the USPTO. Practitioners should be prepared for a variety of examiner behaviors, given that 77 distinct examiners are reviewing the 109 pending office actions. This decentralized approach can be beneficial for portfolio resilience, as it spreads the risk across many different individuals and art units.

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

Portfolio Summary

108

Total Pending OAs

Non-Final OAs

Final Rejections

Advisory / Quayle

Response Deadline Pressure

Based on the USPTO statutory response window for each pending office action. 37 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.

Overdue

Due this week

Due this month

Due in next 60 days

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. 37 of the docket's apps have a known mailing date.

Overdue (14)Due ≤ 7 days (1)Due ≤ 30 days (14)Due ≤ 60 days (3)Due later (5)

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.

Hard (81%)

Medium (12%)

Easy (6%)

Unknown (2%)

Rejection Statute Mix

Bucket	Cases
§101 only	41 (38%)
§101 + other	44 (41%)
§103 only	13 (12%)
§112 only	1 (1%)
Double-patenting only	5 (5%)
Multi-statute (no §101)	2 (2%)
No statute on record	2 (2%)

Industry Mix

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

Life Sciences

0% of docket

Information Tech

10% of docket

Communications

1% of docket

Semiconductors

0% of docket

Mechanical / Eng

64% of docket

Business / Other

25% 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.

1,080 h

Manual time on pending OAs

216 h

Time saved (low, 20%)

378 h

Time saved (mid, 35%)

9.4 wks

FTE-weeks freed (mid)

Top Examiners on this docket

Examiner	Apps on this docket	Allow rate	Interview lift
FRUNZI, VICTORIA E.	7	25.4%	+24.4%
WEINER, ARIELLE E	5	43.6%	+53.3%
SMITH, LINDSEY B	4	51.3%	+54.4%
JEANTY, ROMAIN	3	75.7%	+19.6%
MISIASZEK, MICHAEL	3	55.9%	+14.9%
MUTSCHLER, JOSEPH M	3	60.4%	+48.1%
LEVINE, ADAM L	3	35.9%	+40.0%
KANG, TIMOTHY J	3	45.5%	+27.0%
SEIBERT, CHRISTOPHER B	2	57.8%	+42.1%
PRESTON, ASHLEY DAWN	2	42.9%	+27.5%

Hard Cases (87)

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
19078265	ACCOUNTING FOR ITEM ATTRIBUTES WHEN SELECTING ITEMS SATISFYING A QUERY BASED ON ITEM EMBEDDINGS AND AN EMBEDDING FOR THE QUERY	WILSON, KIMBERLY LOVEL	56d overdue
18614563	USING A TRAINED MODEL TO PREDICT AND PREVENT FAILED DELIVERIES	CLARE, MARK C	37d overdue
18616620	Matching Images of Current Inventory with Machine Learning Predictions of User Preferences to Customize User Interface	ASHRAF, WASEEM	30d 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
18498445	USER INTERFACE WITH ADAPTIVE MAP INDICATING LOCATIONS BASED ON PREDICTED BATCH VOLUME	KIM, PATRICK	16d overdue

Interview Candidates (35)

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
18532541	Selecting Item Images for an Online Shopping Concierge Platform	MISIASZEK, MICHAEL	16d 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
18634757	MACHINE LEARNED MODEL FOR DETERMINING SEGMENTING OPTIONS TO FULFILL BULK ORDERS	WEINER, ARIELLE E	28d

Top Art Units

Art Unit	Apps
3689	27
3688	14
3627	6
3628	6
3624	5
3625	5
2163	2
2156	2
2159	2
3621	2

Pending Office Actions

App #	Title	Examiner	Art Unit	Statutes	Status	Due in	AI	Filed
19303730	Machine Learning Assisted Alerts for Item Picking	GLASS, RUSSELL S	—	DP	Non-Final OA	—	Pending	Aug 19, 2025
19294019	AUTOMATED SAMPLING OF QUERY RESULTS FOR TRAINING OF A QUERY ENGINE	THAI, HANH B	—	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	—	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	—	§101	Non-Final OA	—	Pending	Jul 21, 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	—	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	—	§101	Non-Final OA	—	Pending	Jun 17, 2025
19234087	Selectively Providing Machine Learning Model-Based Services	LEE, PO HAN	—	§101Other	Non-Final OA	—	Pending	Jun 10, 2025
19217924	HIGHLIGHTING TARGET ITEMS IN IMAGES CAPTURED BY SMART CARTS	ZIMMERMAN, JEFFREY P	—	§101§103§112	Non-Final OA	—	Pending	May 23, 2025
19217918	DETECTING USER ACTIONS BASED ON SMART CART SENSOR DATA	KONERU, SUJAY	—	§103	Non-Final OA	—	Pending	May 23, 2025
19216634	SYSTEMS AND METHODS FOR ITEM RECOGNITION	MITCHELL, NATHAN A	—	Other	Non-Final OA	—	Pending	May 22, 2025
19216641	METHOD, COMPUTER PROGRAM PRODUCT, AND SYSTEM FOR DISPLAYING AUGMENTED REALITY ELEMENTS FOR NAVIGATING TO A LOCATION OF AN ITEM WITHIN A WAREHOUSE	MISIASZEK, MICHAEL	—	§101§103	Non-Final OA	—	Pending	May 22, 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	—	§101Other	Non-Final OA	—	Pending	May 13, 2025
19193828	Dynamically Generating Descriptions Using a Multi-Modal Large-Language Model	MIAN, MUHAMMAD U	2163	§101	Final Rejection	2d overdue	Pending	Apr 29, 2025
19098767	Artificial Intelligence Agent Using a Machine-Learning Model and Reinforcement Learning Model to Guide Picking Process	SULLIVAN, JESSICA E	3627	§101	Non-Final OA	—	Pending	Apr 02, 2025
19086482	Self-Checkout Anti-Theft Vehicle Systems And Methods	MUTSCHLER, JOSEPH M	—	§101§103	Non-Final OA	—	Pending	Mar 21, 2025
19078265	ACCOUNTING FOR ITEM ATTRIBUTES WHEN SELECTING ITEMS SATISFYING A QUERY BASED ON ITEM EMBEDDINGS AND AN EMBEDDING FOR THE QUERY	WILSON, KIMBERLY LOVEL	2165	§101§103Other	Final Rejection	56d overdue	Pending	Mar 12, 2025
19062721	PROVIDING AND DISPLAYING SEARCH RESULTS IN RESPONSE TO A QUERY	GARG, YOGESH C	3688	§101Other	Non-Final OA	—	Pending	Feb 25, 2025
19062640	IDENTIFYING CANDIDATE REPLACEMENT ITEMS WITH A SOURCE SIMILARITY SCORE	ROSEN, NICHOLAS D	—	§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	—	§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	—	§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
18981600	Leveraging Machine-Learning Models for Determining a Collection Sequence	MUTSCHLER, JOSEPH M	3627	§101§103	Non-Final OA	—	Pending	Dec 15, 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
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	—	§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§103	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
18900463	CAUSAL VALIDATION OF MULTIVARIATE REGRESSION MODELS	GUNN, JEREMY L	3624	§101§102	Final Rejection	—	Pending	Sep 27, 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	Final Rejection	—	Pending	Sep 23, 2024
18885173	Image Recognition for the Identification of Incorrect Items	SHIN, SOO JUNG	—	§101§103Other	Non-Final OA	—	Pending	Sep 13, 2024
18885294	ANOMALY DETECTION AND USER ATTRIBUTION USING MACHINE-LEARNING LARGE LANGUAGE MODELS	TRAN, TAN H	—	§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	—	§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
18775446	PREDICTING USER BEHAVIOR FROM AN INITIAL CONVERSION EVENT	HENRY, MATTHEW D	3625	§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
18772774	USER EMBEDDING GENERATION USING LLM-GENERATED CONTENT EMBEDDINGS	SULLIVAN, THOMAS J	3689	§101	Final Rejection	23d	Pending	Jul 15, 2024

View all 108 →

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Frequently Asked Questions

How many pending USPTO office actions does Maplebear Inc. have?

Maplebear Inc. has 108 pending office actions as of October 2026, spread across 20 art units and 76 examiners.

Which USPTO examiner handles the most Maplebear Inc. applications?

Victoria E. Frunzi has the most, with 7 of Maplebear Inc.'s pending office actions.

What technology area are Maplebear Inc.'s patent applications in?

Mostly Transportation, E-Commerce & Mechanical Systems (USPTO Tech Center 3600), based on where its pending office actions are examined.