Product Discovery AI: The Ultimate Glossary
Bundled Buying
Strategy where multiple related products are combined and sold together as a single package or bundle. This strategy is commonly used in eCommerce to offer consumers convenience, value, and potentially cost savings compared to purchasing each item separately
Catalog Coverage
In retail or e-commerce contexts, a catalog is a curated collection of products that a company offers for sale. The term "catalog coverage" specifically indicates how many different types or categories of products are represented in that catalog.
Catalog Exposure
In retail or e-commerce contexts, a catalog is a curated collection of products offered by a company or platform. Catalog exposure specifically refers to how prominently or frequently these products are displayed to potential customers.
Client Advisor (AI)
An AI professional who provides personalized advice and services to luxury goods clients. Their role involves understanding the specific needs and preferences of individual clients and offering tailored solutions or recommendations to meet those needs
Confidence Messaging
Response from an AI client advisor that explains product selection presented, specific features relevant to the shopper and additional detail not immediately apparent for the purpose of reinforcing the shopper’s decision
Conversational Text
Textual content generated by artificial intelligence (AI) models designed to mimic natural human conversation. Leverages natural language processing, natural language understanding and contextual awareness to create an exchange with the user.
eCommerce Product Discovery
The process through which consumers find, explore, and select products to purchase online. Includes AI visual discovery, search and navigation, product recommendations, content and reviews.
Fuzzy Matching
Technique used in computer science and data management to find strings that approximately match a given pattern. It allows for discrepancies or variations in the strings being compared. This is particularly useful when dealing with data that may contain typos, misspellings, abbreviations, or other inconsistencies.
Gift Guide
A curated collection of products available for purchase on an online retail platform, specifically designed to assist shoppers in finding suitable gifts for various occasions, recipients, or themes
Guided Buying (AI)
A concept in purchasing that refers to a structured approach or process using AI to help users make informed purchasing decisions. It provides users with tools like visual prompts, conversational text and confidence messaging to streamline and guide them through the buying process effectively.
Image Upload/Image Match
The ability to upload an image to an AI driven search engine or product discovery tool and receive recommendations that match or come close to matching
Intent Recognition
When AI can identify the intention or purpose behind a user's input, such as determining whether a user is asking a question, making a statement, or expressing a command.
Intent Search
Also known as intent-based search or intention-based search, refers to a type of online search behavior where a user's query indicates a specific intention or goal they have in mind when seeking information or products. Unlike general searches that may be more open-ended or informational, intent searches are characterized by a clear purpose or desired outcome.
Large Language Models
Sophisticated artificial intelligence systems designed to understand and generate human language at a complex and nuanced level.
Natural Language Processing (NLP)
NLP is a branch of artificial intelligence that focuses on enabling computers to understand, interpret, and respond to human language in a natural way. It involves various techniques and algorithms to process and analyze large amounts of natural language data, facilitating seamless human-computer interaction through text or speech.
Natural Language Understanding (NLU)
A branch of artificial intelligence (AI) and computational linguistics that focuses on the ability of machines to understand and interpret human language as it is spoken or written. NLU enables computers to comprehend the meaning, context, and intent behind text or speech input, allowing them to interact with humans in a more natural and intuitive manner.
Objective Attributes
Characteristics of something (such as an object, person, or situation) that can be measured, observed, or verified using factual or empirical evidence. These attributes are typically independent of individual opinions, biases, or personal interpretations. Examples include size, weight, color or temperature.
Product Attributes
Specific characteristics or features that describe a product's physical or functional qualities. They can be physical or functional.
Product Comparison
In eCommerce, the ability to show to like products next to one another for shopper assess and contrast their features and value.
Product Information Enrichment
Process of enhancing the quality and depth of product data to provide more comprehensive, accurate, and useful information to consumer.
Semantic Search
Semantic search is a search technique that aims to improve search accuracy by understanding the context and meaning of search queries, rather than relying solely on keyword matching. It uses natural language processing and machine learning to interpret user intent and retrieve more relevant and contextually appropriate results.
Shop the Look
A strategy commonly used in eCommerce and fashion industries where customers are encouraged to purchase entire outfits or ensembles rather than individual items. It involves presenting a curated collection of products that together create a cohesive look or style.
Subjective Attributes
Characteristics of something (such as an object, person, or situation) that are based on personal opinions, feelings, or interpretations rather than objective facts. These attributes can vary from one individual to another. Examples include beauty, taste, comfort, and emotional impact.
Training Data
Training data refers to the set of examples or instances used to train a machine learning model. It serves as the foundational information that the model learns from in order to perform a specific task, such as classification, prediction, or pattern recognition.
Transformer Architecture
A fundamental building block for various natural language processing (NLP) tasks due to its effectiveness in handling sequential data with long-range dependencies.
Vector Embeddings Search
Vector embeddings are mathematical representations of words, phrases, or even entire documents in a continuous vector space. These embeddings capture semantic relationships and meanings by placing similar items closer together in the vector space, enabling the system to perform tasks like similarity matching and semantic search with high precision.
B
Bundled Buying
Strategy where multiple related products are combined and sold together as a single package or bundle. This strategy is commonly used in eCommerce to offer consumers convenience, value, and potentially cost savings compared to purchasing each item separately
C
Catalog Coverage
In retail or e-commerce contexts, a catalog is a curated collection of products that a company offers for sale. The term "catalog coverage" specifically indicates how many different types or categories of products are represented in that catalog.
Catalog Exposure
In retail or e-commerce contexts, a catalog is a curated collection of products offered by a company or platform. Catalog exposure specifically refers to how prominently or frequently these products are displayed to potential customers.
Client Advisor (AI)
An AI professional who provides personalized advice and services to luxury goods clients. Their role involves understanding the specific needs and preferences of individual clients and offering tailored solutions or recommendations to meet those needs
Confidence Messaging
Response from an AI client advisor that explains product selection presented, specific features relevant to the shopper and additional detail not immediately apparent for the purpose of reinforcing the shopper’s decision
Conversational Text
Textual content generated by artificial intelligence (AI) models designed to mimic natural human conversation. Leverages natural language processing, natural language understanding and contextual awareness to create an exchange with the user.
E
eCommerce Product Discovery
The process through which consumers find, explore, and select products to purchase online. Includes AI visual discovery, search and navigation, product recommendations, content and reviews.
F
Fuzzy Matching
Technique used in computer science and data management to find strings that approximately match a given pattern. It allows for discrepancies or variations in the strings being compared. This is particularly useful when dealing with data that may contain typos, misspellings, abbreviations, or other inconsistencies.
G
Gift Guide
A curated collection of products available for purchase on an online retail platform, specifically designed to assist shoppers in finding suitable gifts for various occasions, recipients, or themes
Guided Buying (AI)
A concept in purchasing that refers to a structured approach or process using AI to help users make informed purchasing decisions. It provides users with tools like visual prompts, conversational text and confidence messaging to streamline and guide them through the buying process effectively.
I
Image Upload/Image Match
The ability to upload an image to an AI driven search engine or product discovery tool and receive recommendations that match or come close to matching
Intent Recognition
When AI can identify the intention or purpose behind a user's input, such as determining whether a user is asking a question, making a statement, or expressing a command.
Intent Search
Also known as intent-based search or intention-based search, refers to a type of online search behavior where a user's query indicates a specific intention or goal they have in mind when seeking information or products. Unlike general searches that may be more open-ended or informational, intent searches are characterized by a clear purpose or desired outcome.
L
Large Language Models
Sophisticated artificial intelligence systems designed to understand and generate human language at a complex and nuanced level.
N
Natural Language Processing (NLP)
NLP is a branch of artificial intelligence that focuses on enabling computers to understand, interpret, and respond to human language in a natural way. It involves various techniques and algorithms to process and analyze large amounts of natural language data, facilitating seamless human-computer interaction through text or speech.
Natural Language Understanding (NLU)
A branch of artificial intelligence (AI) and computational linguistics that focuses on the ability of machines to understand and interpret human language as it is spoken or written. NLU enables computers to comprehend the meaning, context, and intent behind text or speech input, allowing them to interact with humans in a more natural and intuitive manner.
O
Objective Attributes
Characteristics of something (such as an object, person, or situation) that can be measured, observed, or verified using factual or empirical evidence. These attributes are typically independent of individual opinions, biases, or personal interpretations. Examples include size, weight, color or temperature.
P
Product Attributes
Specific characteristics or features that describe a product's physical or functional qualities. They can be physical or functional.
Product Comparison
In eCommerce, the ability to show to like products next to one another for shopper assess and contrast their features and value.
Product Information Enrichment
Process of enhancing the quality and depth of product data to provide more comprehensive, accurate, and useful information to consumer.
S
Semantic Search
Semantic search is a search technique that aims to improve search accuracy by understanding the context and meaning of search queries, rather than relying solely on keyword matching. It uses natural language processing and machine learning to interpret user intent and retrieve more relevant and contextually appropriate results.
Shop the Look
A strategy commonly used in eCommerce and fashion industries where customers are encouraged to purchase entire outfits or ensembles rather than individual items. It involves presenting a curated collection of products that together create a cohesive look or style.
Subjective Attributes
Characteristics of something (such as an object, person, or situation) that are based on personal opinions, feelings, or interpretations rather than objective facts. These attributes can vary from one individual to another. Examples include beauty, taste, comfort, and emotional impact.
T
Training Data
Training data refers to the set of examples or instances used to train a machine learning model. It serves as the foundational information that the model learns from in order to perform a specific task, such as classification, prediction, or pattern recognition.
Transformer Architecture
A fundamental building block for various natural language processing (NLP) tasks due to its effectiveness in handling sequential data with long-range dependencies.
V
Vector Embeddings Search
Vector embeddings are mathematical representations of words, phrases, or even entire documents in a continuous vector space. These embeddings capture semantic relationships and meanings by placing similar items closer together in the vector space, enabling the system to perform tasks like similarity matching and semantic search with high precision.