New research guide: The Confidence Economy, how AI is changing fashion commerce.

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[ GLOSSARY ]

Forty terms a Head of Ecommerce hears this year. 

Forty terms a Head of Ecommerce hears this year. 

Forty terms a Head of Ecommerce hears this year. 

Short, opinionated definitions — with the number that makes each one matter.

A

AI Shopping Assistant

AI Shopping Assistant

An AI shopping assistant — also called an AI stylist — is a conversational AI that helps shoppers make purchase decisions on an ecommerce store by taking their natural language input — a question, an occasion, a description — and returning a personalized, catalog-specific response.

An AI shopping assistant — also called an AI stylist — is a conversational AI that helps shoppers make purchase decisions on an ecommerce store by taking their natural language input — a question, an occasion, a description — and returning a personalized, catalog-specific response.

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Agentic Commerce

Agentic Commerce

Agentic commerce refers to commerce experiences driven by AI agents that take autonomous action — initiating conversations, building recommendations, and guiding purchase decisions — without requiring a human to start the interaction.

Agentic commerce refers to commerce experiences driven by AI agents that take autonomous action — initiating conversations, building recommendations, and guiding purchase decisions — without requiring a human to start the interaction.

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AI Personalization

AI Personalization

AI personalization uses machine learning to tailor the ecommerce experience to each individual shopper — their taste, behavior, and history — rather than showing the same experience to all visitors.

AI personalization uses machine learning to tailor the ecommerce experience to each individual shopper — their taste, behavior, and history — rather than showing the same experience to all visitors.

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AI Taste Model

AI Taste Model

An AI taste model is a machine learning system that builds a profile of an individual shopper's aesthetic preferences — their silhouette affinities, color tendencies, occasion contexts, and style identity — from interaction data.

An AI taste model is a machine learning system that builds a profile of an individual shopper's aesthetic preferences — their silhouette affinities, color tendencies, occasion contexts, and style identity — from interaction data.

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Average Order Value (AOV)

Average Order Value (AOV)

Average order value (AOV) is the average revenue generated per order — calculated as total revenue divided by number of orders — and is one of the three primary commercial levers for ecommerce growth alongside conversion rate and retention.

Average order value (AOV) is the average revenue generated per order — calculated as total revenue divided by number of orders — and is one of the three primary commercial levers for ecommerce growth alongside conversion rate and retention.

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A/B Testing

A/B Testing

A/B testing is a controlled experiment that splits traffic between two variants — A (control) and B (test) — to measure which produces better outcomes, using statistical significance to confirm that results are not random.

A/B testing is a controlled experiment that splits traffic between two variants — A (control) and B (test) — to measure which produces better outcomes, using statistical significance to confirm that results are not random.

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C

Conversational Commerce

Conversational Commerce

Conversational commerce is any ecommerce buying experience where natural language replaces navigation — shoppers describe what they need in their own words and receive a personalized, catalog-specific response rather than a list of products to evaluate.

Conversational commerce is any ecommerce buying experience where natural language replaces navigation — shoppers describe what they need in their own words and receive a personalized, catalog-specific response rather than a list of products to evaluate.

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Capsule Wardrobe

Capsule Wardrobe

A capsule wardrobe is a small, curated collection of versatile, high-quality clothing items that can be combined into many outfits, typically 30-50 pieces that cover all regular occasions.

A capsule wardrobe is a small, curated collection of versatile, high-quality clothing items that can be combined into many outfits, typically 30-50 pieces that cover all regular occasions.

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Complete-the-Look

Complete-the-Look

Complete-the-look is a merchandising and AI capability that identifies and recommends the additional pieces needed to turn a single garment into a complete, occasion-appropriate outfit.

Complete-the-look is a merchandising and AI capability that identifies and recommends the additional pieces needed to turn a single garment into a complete, occasion-appropriate outfit.

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Catalog Enrichment

Catalog Enrichment

Catalog enrichment is the process of adding detailed metadata to product listings — occasion tags, style attributes, fit notes, complete-look pairings — beyond the standard title, price, and category fields.

Catalog enrichment is the process of adding detailed metadata to product listings — occasion tags, style attributes, fit notes, complete-look pairings — beyond the standard title, price, and category fields.

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Conversion Rate

Conversion Rate

Conversion rate is the percentage of website sessions that result in a purchase — in fashion ecommerce, typically 1-2% for online versus 23-30% for physical retail, a gap largely explained by the absence of decision support.

Conversion rate is the percentage of website sessions that result in a purchase — in fashion ecommerce, typically 1-2% for online versus 23-30% for physical retail, a gap largely explained by the absence of decision support.

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Customer Lifetime Value (CLV)

Customer Lifetime Value (CLV)

Customer lifetime value (CLV or LTV) is the total revenue a brand can expect from a single customer over the entire duration of their relationship — the primary metric for evaluating retention investments.

Customer lifetime value (CLV or LTV) is the total revenue a brand can expect from a single customer over the entire duration of their relationship — the primary metric for evaluating retention investments.

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Cart Abandonment Rate

Cart Abandonment Rate

Cart abandonment rate is the percentage of shoppers who add at least one item to their cart but leave without completing a purchase — in fashion ecommerce, typically 70-80%.

Cart abandonment rate is the percentage of shoppers who add at least one item to their cart but leave without completing a purchase — in fashion ecommerce, typically 70-80%.

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I

Intent Recognition

Intent Recognition

Intent recognition is the AI capability that identifies what a shopper is trying to accomplish — find a specific product, build an outfit, compare options, get styling advice — from their natural language input.

Intent recognition is the AI capability that identifies what a shopper is trying to accomplish — find a specific product, build an outfit, compare options, get styling advice — from their natural language input.

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Inventory Days on Hand (DOH)

Inventory Days on Hand (DOH)

Inventory days on hand (DOH) measures how long, on average, a unit of inventory sits before being sold — a key efficiency metric for fashion retailers that indicates demand health and working capital efficiency.

Inventory days on hand (DOH) measures how long, on average, a unit of inventory sits before being sold — a key efficiency metric for fashion retailers that indicates demand health and working capital efficiency.

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Incremental Lift

Incremental Lift

Incremental lift is the actual revenue or conversion improvement caused by an AI tool — isolated through a holdout test that separates what the tool caused from what would have happened anyway.

Incremental lift is the actual revenue or conversion improvement caused by an AI tool — isolated through a holdout test that separates what the tool caused from what would have happened anyway.

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Items Per Session

Items Per Session

Items per session is the average number of distinct products added to the cart or purchased in a single shopping session — a direct measure of cross-sell effectiveness and outfit-buying behavior.

Items per session is the average number of distinct products added to the cart or purchased in a single shopping session — a direct measure of cross-sell effectiveness and outfit-buying behavior.

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O

Outfit Assembly

Outfit Assembly

Outfit assembly is the AI-driven process of selecting multiple pieces from a brand's catalog — top, bottom, accessory, footwear — that work together as a complete, stylistically coherent look for a specific shopper's occasion and taste.

Outfit assembly is the AI-driven process of selecting multiple pieces from a brand's catalog — top, bottom, accessory, footwear — that work together as a complete, stylistically coherent look for a specific shopper's occasion and taste.

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Occasion Shopping

Occasion Shopping

Occasion shopping is fashion purchasing driven by a specific event or social context — a wedding, a festival, a job interview — rather than by a product attribute like category, color, or price.

Occasion shopping is fashion purchasing driven by a specific event or social context — a wedding, a festival, a job interview — rather than by a product attribute like category, color, or price.

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Occasion-Based Commerce

Occasion-Based Commerce

Occasion-based commerce is an ecommerce approach organized around shopper occasions — the events and contexts that drive purchase intent — rather than around product categories and attributes.

Occasion-based commerce is an ecommerce approach organized around shopper occasions — the events and contexts that drive purchase intent — rather than around product categories and attributes.

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Outfit Merchandising

Outfit Merchandising

Outfit merchandising is the practice of presenting products as complete, styled outfits rather than individual items — either through editorial lookbooks, on product pages, or through AI-driven outfit recommendations.

Outfit merchandising is the practice of presenting products as complete, styled outfits rather than individual items — either through editorial lookbooks, on product pages, or through AI-driven outfit recommendations.

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S

Style Graph

Style Graph

A Style Graph is a per-shopper taste model that learns from every interaction — what a shopper likes, skips, buys, and avoids — and uses that data to produce increasingly personalized outfit recommendations over time.

A Style Graph is a per-shopper taste model that learns from every interaction — what a shopper likes, skips, buys, and avoids — and uses that data to produce increasingly personalized outfit recommendations over time.

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Size Guide Optimization

Size Guide Optimization

Size guide optimization is the practice of improving the clarity, specificity, and accessibility of fit information on product pages to reduce size-related returns and purchase hesitation.

Size guide optimization is the practice of improving the clarity, specificity, and accessibility of fit information on product pages to reduce size-related returns and purchase hesitation.

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Shopify Fashion Brand

Shopify Fashion Brand

A Shopify fashion brand is any apparel, accessories, or footwear brand using Shopify as its ecommerce platform — the primary merchant category Elara is built for.

A Shopify fashion brand is any apparel, accessories, or footwear brand using Shopify as its ecommerce platform — the primary merchant category Elara is built for.

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Session Engagement Rate

Session Engagement Rate

Session engagement rate is the percentage of sessions in which a shopper meaningfully interacts with content or features beyond passive browsing — clicking, saving, chatting, or trying on products.

Session engagement rate is the percentage of sessions in which a shopper meaningfully interacts with content or features beyond passive browsing — clicking, saving, chatting, or trying on products.

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