Maplebear Inc.

Using machine-learning model to generate a user interface with personalized combined filters for search results

USING TRAINED MACHINE-LEARNING MODEL TO DETECT ERRORS BASED ON INTERACTIONS OF USERS OF AN ONLINE SYSTEM WITH PHYSICAL DEVICES

Predicting whether temperature-sensitive items will transition outside of a target temperature range during transport using a machine learning model

Using machine-learning model of an online system to facilitate performing tasks of new types

Identifying and modifying components of a physical document using machine-learning models

SELECTING INDEXING ALGORITHMS FOR AUTOMATED EMBEDDING DATABASE GENERATION

Using a Trained Machine-Learning Model of an Online System to Handle Unclaimed Online Pickup Orders

Machine learning approach to provide adaptive search result page load size and layout

DISPLAYING A RECIPE PREPARATION SUGGESTION IN AN AUGMENTED REALITY ELEMENT BASED ON A PREDICTED RECIPE BEING PREPARED

Ranking Search Results Based on User Intent for Recipe Ingredients

Clustering database items based on output of machine-learning model to link database items that represent the same core item but with a different stored size or form attribute

AI agent-driven interaction model for applications

Detecting matching client devices based on location data

MACHINE LEARNING PREDICTION OF LATE DELIVERIES OF ORDERS PLACED WITH AN ONLINE SYSTEM

Displaying an interactive geographical map of sources

USING A TRAINED MODEL FOR DISPLAYING ELEMENTS OF USER INTERFACE TO FACILITATE ENGAGEMENT BY A USER OF AN ONLINE SYSTEM WITH USER INTERFACE ELEMENTS

Using a Trained Model of an Online System to Generate Action Recommendations by Predicting Future Demand

USING A GENERATIVE ARTIFICIAL INTELLIGENCE MODEL TO GENERATE A PERSONALIZED IMAGE OF A CATALOG ITEM

USING A TRAINED MODEL TO GENERATE ACTION RECOMMENDATIONS BY PREDICTING METRICS RELATED TO ITEMS ORDERED AT AN ONLINE SYSTEM

Using a trained model to predict a user's price sensitivity based on data acquired from in-store sensors

DYNAMIC DETERMINATION OF EVENT TYPE USING MULTITASK CLASSIFICATION MODEL FOR INCREASING EFFICIENCY OF ITEM PIPELINE

MACHINE LEARNING MODEL FOR PREDICTING SCHEDULED DELIVERY FOR A SELF-PICKED ORDER

QUERY IMAGE GENERATION IN SEARCH SYSTEMS USING GENERATIVE ARTIFICIAL INTELLIGENCE (AI)

USING A MODEL TO SUGGEST CHANGES TO AN ORDER TO USE UNSPENT CREDITS BEFORE A MACHINE-PREDICTED EXPIRATION OF SAME

Search engine for recommending search queries based on user interactions using a transformer-based language model

DETERMINING USER ELIGIBILITY FOR CONTENT ITEM PRESENTATION BASED ON MULTIPLE OBJECTIVE-BASED METRICS

Default Allocation of Credits to an Order Based on Predicted Credit Expirations

SELECTING EXPERTISE TAGS TO PRESENT IN A USER APPLICATION DURING FULFILLMENT OF AN ORDER BY AN ONLINE SYSTEM

Generating Content Highlighting Work Experience Using a Generative Model

Using Artificial Intelligence for Tagging Key Ingredients to Provide Recipe Recommendations

GENERATIVE MODEL FOR ITEM IMAGE SELECTION

LANGUAGE MODEL DECODING FOR SEARCH QUERY COMPLETION

FALSE NEGATIVE PREDICTION FOR TRAINING A MACHINE-LEARNING MODEL

IMAGE-BASED USER POSE DETECTION FOR USER ACTION PREDICTION

Machine Learning Assisted Alerts for Item Picking

CONTEXTUAL BANDIT MODEL FOR QUERY PROCESSING MODEL SELECTION

AUTOMATIC QUALITY ASSESSMENT OF AN ITEM DURING ORDER FULFILLMENT

GENERATING EXPLANATIONS FOR ATYPICAL REPLACEMENTS USING LARGE LANGUAGE MACHINE-LEARNED MODELS

GENERATING INFORMATION INTEGRITY INSTRUCTIONS USING A GENERATIVE MODEL

REPLACING AN UNAVAILABLE ITEM IN AN ORDER USING A TRAINED OUTCOME PREDICTION MODEL

AUTOMATIC GENERATION OF PERSONALIZED COLLECTION OF ITEMS AROUND A THEME AT AN ONLINE SYSTEM

Using Computer Models to Predict Delivery Times for an Order During Creation of the Order

IMAGE-BASED BARCODE DECODING

USING LANGUAGE MODEL TO GENERATE RECIPE WITH REFINED CONTENT

MACHINE LEARNED LANGUAGE MODEL BASED NATURAL LANGUAGE INTERFACE FOR QUERYING DATABASES

USING OPTICAL CHARACTER RECOGNITION EXTRACTION AND LANGUAGE MODEL TO POPULATE AN ORDER WITH ITEMS FROM A RECIPE

Using a predictive model to identify context features causing above-average tip amount

PREDICTING ITEM WEIGHTS USING A TRAINED MACHINE LEARNING MODEL

RANKING SEARCH RESULTS BASED ON APPEASEMENT SIGNALS AND QUERY SPECIFICITY

GENERATING REALISTIC MACHINE LEARNING-BASED PRODUCT IMAGES FOR ONLINE CATALOGS

PROPENSITY PERTURBATION FOR MODELED TREATMENT SELECTION

SERVING A UNIFIED CATALOG TO MULTIPLE CLIENT GROUPS USING CATALOG SURFACES

Heterogeneous Treatment Prediction Model for Generating User Embeddings

INFERRING A LOCATION OF AN ITEM WITHIN A WAREHOUSE FROM A TAXONOMY OF ITEMS OFFERED BY THE WAREHOUSE AND LOCATIONS OF OTHER ITEMS WITHIN THE WAREHOUSE

ASSIGNING CONTROL AND VARIANTS TO DYNAMICALLY DEFINED TIME PERIODS IN APPLICATION STATE EXPERIMENTS

RELATING ENVIRONMENTAL EFFECTS TO USER INTERACTIONS USING AUTOMATED SHOPPING CARTS

ENABLING ORDERING THROUGH A CLIENT APPLICATION THROUGH TEXT MESSAGES WHEN A CLIENT DEVICE LACKS A DATA CONNECTION TO A NETWORK

RECOMMENDATION SYSTEM USING USER EMBEDDINGS HAVING STABLE LONG-TERM COMPONENT AND DYNAMIC SHORT-TERM SESSION COMPONENT

PERSONALIZED MACHINE-LEARNED LARGE LANGUAGE MODEL (LLM)

USING UNSUPERVISED CLUSTERING AND LANGUAGE MODEL TO NORMALIZE ATTRIBUTE TUPLES OF ITEMS IN A DATABASE

DETERMINING PURCHASE SUGGESTIONS FOR AN ONLINE SHOPPING CONCIERGE PLATFORM

USER INTERFACE FOR ACCESSING MULTIPLE CATALOGS OF ITEMS AND INDICATING ITEMS ADDED FROM CATALOGS

USING TRAINED MODEL TO PREDICT A SUPPLY STATE OF AN ONLINE SYSTEM FOR MANAGING ORDER FULFILLMENTS

Using Language Model To Automatically Generate List Of Items At An Online System Based on a Constraint

VALIDATING CODE OWNERSHIP OF SOFTWARE COMPONENTS IN A SOFTWARE DEVELOPMENT SYSTEM

AUTOMATIC CREATION OF LISTS OF ITEMS ORGANIZED AROUND CO-OCCURRENCES

USING COMPUTER MODEL TO DETERMINE AVAILABILITY OF SERVICE OPTION FOR DELIVERY OF ORDER PLACED WITH ONLINE SYSTEM

DYNAMIC SERVICE QUALITY ADJUSTMENTS BASED ON CAUSAL ESTIMATES OF SERVICE QUALITY SENSITIVITY

DETECTION AND REMEDIATION OF IMPROPER VALUE MODIFICATION USING MACHINE LEARNING

AUTOMATICALLY GENERATING BASKETS OF ITEMS TO BE RECOMMENDED TO USERS OF AN ONLINE SYSTEM

ASYNCHRONOUS AUTOMATED CORRECTION HANDLING IN CONCIERGE SYSTEM OF INCORRECTLY SORTED ITEMS USING POINT-OF-SALE DATA

INCREMENTALLY UPDATING EMBEDDINGS FOR USE IN A MACHINE LEARNING MODEL BY ACCOUNTING FOR EFFECTS OF THE UPDATED EMBEDDINGS ON THE MACHINE LEARNING MODEL

Machine Learning Model Trained to Predict User Interactions with Items for Inventory Assortment

Selecting a location for order fulfillment based on machine learning model prediction of incomplete fulfillment of the order for different locations

ADAPTIVELY CONTROLLING SEARCH RECALL SET SIZES BASED ON QUERY ENTROPY

AUTOMATICALLY GENERATING A RETAILER-SPECIFIC BRAND PAGE BASED ON A MACHINE LEARNING PREDICTION OF ITEM AVAILABILITY

Delivery Time Estimation Using an Attribute-Based Prediction of a Difference Between an Arrival Time and a Delivery Time for a Delivery Location

DISPLAYING AN AUGMENTED REALITY ELEMENT THAT PROVIDES A PERSONALIZED ENHANCED EXPERIENCE AT A WAREHOUSE

CLUSTERING DATA DESCRIBING INTERACTIONS PERFORMED AFTER RECEIPT OF A QUERY BASED ON SIMILARITY BETWEEN EMBEDDINGS FOR DIFFERENT QUERIES

PROCESSING CROWD-SOURCED INFORMATION USING MACHINE LEARNING BASED LANGUAGE MODELS

SIMULATED TRAINING DATA GENERATION FOR A MULTI-ARMED BANDIT MODEL

GENERATING A SUGGESTED SHOPPING LIST BY POPULATING A TEMPLATE SHOPPING LIST OF ITEM CATEGORIES WITH ITEM TYPES AND QUANTITIES BASED ON A SET OF COLLECTION RULES

ESTABLISHING A COMMUNICATION SESSION USING A HANDSHAKE PROCESS WITH LIGHT SIGNALS

TRAINED MACHINE LEARNING MODELS FOR PREDICTING REPLACEMENT ITEMS USING EXPIRATION DATES

DYNAMIC GUARDRAIL ADJUSTMENTS FOR A MULTI-ARMED BANDIT MODEL

USER INTERFACE FOR PRESENTING RANKED SURGE PRICING OPPORTUNITIES FOR PICKERS IN AN ONLINE CONCIERGE SYSTEM

Providing and displaying search results in response to a query

PERSONALIZED STOREFRONT FOR AN ONLINE CONCIERGE SYSTEM USING SEARCH-POWERED CAROUSELS

MACHINE LEARNING MODEL FOR DYNAMICALLY BOOSTING ORDER DELIVERY TIME

Resource planning for an online concierge system based on predictive modeling

Machine learned models for search and recommendations

SCORING IMPROVEMENTS BY TEST FEATURES TO USER INTERACTIONS WITH ITEM GROUPS

Generating a range of estimated fulfillment times for an order based on characteristics of an order

Counterfactual policy evaluation of model performance

Counterfactual Evaluation of Policies for Categories of Items Using Machine Learning Prediction of Outcomes

Identifying Feedback for a Picker for an Online Concierge System Affected by External Conditions

MACHINE LEARNING MODEL FOR PREDICTING WAIT TIMES TO RECEIVE ORDERS AT DIFFERENT LOCATIONS

SUBREGION TRANSFORMATION FOR LABEL DECODING BY AN AUTOMATED CHECKOUT SYSTEM

Subregion transformation for label decoding by an automated checkout system

AUTOMATED SAMPLING OF QUERY RESULTS FOR TRAINING OF A QUERY ENGINE