Glossary
Amazon seller terms. No fluff.
The concepts that matter for PPC, pricing, inventory, and automation — explained for operators, not textbooks.
Operator reality check
If this glossary reads like your weekly task list, the problem is not vocabulary.
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ACoS (Advertising Cost of Sales)
ACoS (Advertising Cost of Sales) is the ratio of advertising spend to advertising-attributed revenue on Amazon. If you spend $100 on ads and generate $400 in ad-attributed sales, your ACoS is 25 percent. It is the most widely used efficiency metric for Amazon PPC but only measures performance within ad-driven sales, not overall business health.
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Agent Orchestration
Agent orchestration is the system of coordinating multiple AI agents so they share context, respect each other's decisions, and pursue aligned goals. In ecommerce, orchestration is what turns a collection of single-function AI tools into a coherent operating layer — where a pricing change automatically informs bid strategy, and a stockout risk automatically pauses ads.
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Agentic AI
Agentic AI refers to AI systems that exhibit agency — the ability to act autonomously, pursue goals over time, and adapt behavior based on feedback. Compared to prompt-response AI (ask a question, get an answer), agentic AI systems maintain state, operate continuously, and make sequences of coordinated decisions inside defined boundaries.
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AI Agent
An AI agent is a software system that perceives its environment, reasons over multiple inputs, and takes actions toward a goal — typically with some level of autonomy. In ecommerce, AI agents are the evolution beyond dashboards and rule engines: instead of telling a human what happened, they observe, decide, and act inside defined boundaries.
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AI Employee
An AI employee is a named, role-specific AI agent that owns a defined operational domain inside a business — PPC management, pricing, demand planning, listing optimization, or cross-functional coordination. Unlike generic AI assistants that respond to queries, AI employees run continuously, coordinate with each other, and are accountable to measurable outcomes.
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AI Guardrails
AI guardrails are hard boundaries on what an AI system is allowed to do — spending limits, price floors and ceilings, restricted ASINs or keywords, approval thresholds, and rollback mechanisms. For ecommerce operations, guardrails are the difference between an AI tool that is actually safe to run on live data and one that creates more risk than it removes.
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AI Observability
AI observability is the practice of making AI system behavior visible, auditable, and debuggable. For agentic AI running on live data — pricing, bids, inventory moves — observability means every decision has a reasoning trail, every data input is recorded, and every outcome can be traced back to the signals that produced it.
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Amazon FBA
Amazon FBA (Fulfillment by Amazon) is Amazon's third-party logistics service. Sellers ship inventory to Amazon fulfillment centers, and Amazon handles storage, packing, shipping, returns, and customer service. FBA is the dominant fulfillment model for private-label brands selling on Amazon, and Buy Box eligibility is heavily weighted toward FBA sellers.
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Amazon PPC
Amazon PPC (pay-per-click) is Amazon's advertising system for sellers — a family of paid placements across Sponsored Products, Sponsored Brands, and Sponsored Display. You bid on keywords or ASINs and pay only when a shopper clicks your ad. For most Amazon sellers, PPC is the primary traffic lever and a major expense line.
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Amazon Repricer
An Amazon repricer is software that automatically adjusts product prices in response to market signals — competitor moves, Buy Box status, inventory levels, or margin targets. Repricers range from simple rule-based tools that match the lowest price to AI-driven systems that optimize across margin, demand, and ad efficiency together.
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Buy Box
The Buy Box is the featured offer section on an Amazon product page — the 'Add to Cart' and 'Buy Now' placement where most transactions happen. When multiple sellers offer the same product, Amazon's algorithm decides which offer wins the Buy Box based on price, fulfillment method, seller performance, and account health.
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Catalog Management
Catalog management is the operational work of maintaining product data, variations, attributes, and relationships across an Amazon catalog. It spans parent-child variation structures, SKU-level metadata, brand registry alignment, and the back-end attributes that determine how a product is classified and surfaced by Amazon's algorithm.
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Circuit Breaker ACOS
A Circuit Breaker ACOS is a hard emergency threshold that pauses or restricts automated ad changes when a campaign's ACOS crosses it. Unlike a target ACOS, which is a goal the optimizer steers toward, a circuit breaker is a kill switch that stops the automation from compounding losses when performance goes off the rails.
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Contribution Margin
Contribution margin is revenue minus all variable costs — cost of goods sold, Amazon referral fees, FBA fulfillment fees, shipping, and advertising. It is the real profit figure for Amazon sellers because it accounts for the costs that actually vary with sales. Two products with identical gross margins can have wildly different contribution margins depending on fee structure and ad spend.
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Demand Planning
Demand planning is the practice of forecasting future product demand to optimize inventory levels, reorder timing, supplier relationships, and supply chain decisions. On Amazon and across ecommerce, demand planning connects sales velocity, seasonality, promotions, and lead times so you order the right quantity at the right time.
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Dynamic Pricing
Dynamic pricing is the practice of adjusting product prices automatically in response to real-time signals — demand, competition, inventory, ad performance, and margin targets. On Amazon and across ecommerce, it has evolved from simple rule-based repricing to AI-driven systems that reason across the full business context before every change.
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Graduated Autonomy
Graduated autonomy is the practice of giving an AI agent authority one kind of work at a time, only after the agent's judgment on that specific work has proven itself. The agent starts in a propose-and-wait mode, then graduates specific categories of action into autonomous handling as trust accumulates. Structural or high-impact work stays approval-routed indefinitely.
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Hero Product
A hero product is a top-priority SKU in a brand's catalog: the product that drives the bulk of revenue, margin, or strategic importance. In an AI-run PPC system, marking a product as a hero tells the agent to apply a different posture to that product compared to the rest of the catalog. Hero products often get higher bid ceilings, wider spend authority, stricter brand protection, and more conservative pause behavior.
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Inventory Velocity
Inventory velocity is the rate at which inventory sells through over a given period, typically expressed as units per day or days of supply remaining. It is the connective tissue between pricing, advertising, and supply chain — and one of the most under-used signals in Amazon operations.
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Listing Optimization
Listing optimization is the ongoing work of improving Amazon product detail pages — titles, bullet points, product descriptions, A+ Content, back-end keywords, images, and variation structure — to maximize discovery, click-through rate, and conversion. It is the foundation layer underneath pricing and PPC because even the best ad spend fails if the listing does not convert.
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LLM (Large Language Model)
A large language model (LLM) is a neural network trained on vast amounts of text to understand and generate natural language. Modern LLMs — GPT, Claude, Gemini, Llama — power most of the current wave of AI applications, from chat interfaces to code generation to the reasoning layer behind agentic AI systems.
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Machine Learning Pricing
Machine learning pricing is the use of statistical models that learn from historical sales, competitor behavior, demand signals, and margin outcomes to set prices. It is distinct from rule-based repricing (which uses static if/then logic) because ML pricing adapts its own strategy as it observes what actually works for a specific catalog.
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Negative Keywords
Negative keywords are search terms you exclude from your Amazon PPC campaigns to prevent ads from showing on irrelevant queries. When a shopper searches for a negative keyword, your ad is blocked from appearing. Properly managed negative keyword lists are one of the most direct levers for improving PPC efficiency.
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Operational Readiness
Operational Readiness is the state that tells an AI agent whether it can actually act. It is not the same as connector health, which only tells you whether APIs are reachable. An agent can have every connector green while it is still ingesting data, rebuilding foundation context, or missing decision inputs. Operational Readiness is the honest answer to 'is this agent ready to work?'
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Organic Rank
Organic rank is the position a product appears in Amazon search results without paid placement. It is determined by Amazon's ranking algorithm, which weighs relevance (keyword match in title, bullets, back-end fields), sales velocity, conversion rate, and advertising performance. Strong organic rank means fewer paid clicks are needed to make the same sales.
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POAS (Profit on Ad Spend)
POAS is Profit on Ad Spend: revenue from an ad minus Amazon fees and cost of goods, divided by ad spend. It measures whether the ad dollar produced profit, not just sales. POAS above 1 means the ad was profitable. ACOS, by contrast, only tracks ad spend against ad revenue and can make unprofitable campaigns look healthy.
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RAG (Retrieval-Augmented Generation)
RAG (Retrieval-Augmented Generation) is an AI architecture that combines a large language model with a retrieval system that fetches relevant information from a knowledge base at query time. Instead of relying only on what the model learned during training, a RAG system grounds its answers in up-to-date, domain-specific data.
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TACoS (Total Advertising Cost of Sales)
TACoS (Total Advertising Cost of Sales) is the ratio of total ad spend to total revenue on Amazon — including organic sales, not just ad-attributed sales. If you spend $100 on ads and your listing generates $1,000 in total revenue, your TACoS is 10 percent. It is the clearest single indicator of long-term advertising health for Amazon sellers.
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Trust Ladder
A trust ladder is a progressive autonomy model for AI systems — a sequence of stages that moves an AI agent from read-only observation toward increasing levels of autonomous action as the operator builds confidence. For agentic AI running on live Amazon accounts, the trust ladder is the practical answer to the 'all or nothing' autonomy problem.
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