AI Agent
An AI agent is an autonomous software program designed to perform specific tasks or functions, often interacting with users or other systems. It leverages artificial intelligence, including machine learning and natural language processing, to understand requests, process information, and execute actions. These agents can operate in various environments, from customer service chatbots to complex automation systems, learning and adapting over time to improve their performance and efficiency. Their goal is to automate repetitive processes, provide instant assistance, and enhance user experience by simulating human-like interaction and decision-making capabilities.
Why it matters for your e-commerce
An AI agent can handle a high volume of customer queries 24/7, reducing operational costs and improving satisfaction. It frees up your teams for more complex tasks, while providing instant and personalized assistance, essential for e-commerce loyalty and conversion.
Related terms : Conversational AI · Human Handoff · Customer Experience (CX)
Average Order Value (AOV)
Average Order Value (AOV) is a key performance indicator in e-commerce that represents the average value of each order placed on a website. It is calculated by dividing total revenue by the total number of orders over a given period. AOV is crucial for evaluating sales performance and the effectiveness of sales strategies, such as upselling and cross-selling. Increasing the average order value allows for revenue growth without necessarily increasing the number of transactions or website traffic.
Why it matters for your e-commerce
Increasing the average order value is essential to maximize your e-commerce profitability without increasing acquisition costs. An AI agent can intelligently suggest complementary products or upgrade options (upselling/cross-selling) to customers during their purchase journey, encouraging them to spend more and thus increasing the value of each order.
Related terms : E-commerce Conversion Rate · Conversational commerce · Session (session-based billing)
Cart abandonment
Cart abandonment refers to the phenomenon where a customer adds items to their online shopping cart but leaves the website before completing the transaction. This behavior is common and can be due to various reasons: unexpected shipping costs, an overly complex checkout process, distractions, or simply seeking information without immediate purchase intent. It is a key indicator of friction in the customer journey and a major source of potential revenue loss for e-commerce businesses. Understanding and reducing cart abandonment is essential for optimizing an online store's performance.
Why it matters for your e-commerce
Cart abandonment represents direct lost sales. By identifying friction points and proactively engaging customers via AI agents, you can recover a significant portion of this lost revenue, improve the shopping experience, and increase your overall conversion rate.
Related terms : E-commerce Conversion Rate · Average Order Value (AOV) · Conversational commerce
Chat widget
A chat widget is a small, interactive interface, typically embedded in the corner of a website or application, that allows visitors to initiate a real-time conversation with an agent (human or AI). It often appears as a speech bubble icon. This device facilitates access to customer support, product information, or navigation assistance, offering instant and personalized communication. Modern chat widgets can be enhanced with features such as dynamic FAQs, contact forms, or integration with customer relationship management (CRM) systems.
Why it matters for your e-commerce
Integrating a chat widget on your e-commerce site significantly enhances the customer experience by offering immediate support. It allows for real-time question answering, guiding purchases, and reducing cart abandonment, thereby converting visitors into satisfied buyers through the efficiency of an AI agent.
Related terms : AI Agent · Conversational AI · Omnichannel Support
Conversational AI
Conversational AI is a technology that enables computers to understand, process, and respond to human language in a natural way. It combines natural language processing (NLP), natural language understanding (NLU), and natural language generation (NLG) to simulate human conversations. Used in chatbots, virtual assistants, and voice interfaces, it aims to provide a fluid and intuitive interaction, capable of solving problems, answering questions, or executing tasks by interpreting the user's context and intent.
Why it matters for your e-commerce
Conversational AI improves customer experience by offering instant and personalized interactions, available 24/7. It helps guide customers, answer their questions, and facilitate purchases, thereby increasing engagement and potentially the conversion rate of your online store.
Related terms : AI Agent · LLM (Large Language Model) · Prompt
Conversational commerce
Conversational commerce is an e-commerce strategy that integrates dialogue-based interactions (via chatbots, voice assistants, or human agents) throughout the customer journey. It allows consumers to discover products, ask questions, receive personalized recommendations, and even complete purchases using natural language, often within messaging apps or chat widgets. The goal is to create a more fluid, personalized, and engaging shopping experience, mimicking human interaction to facilitate purchase decisions and customer support.
Why it matters for your e-commerce
Conversational commerce transforms the shopping experience by making it more intuitive and personalized. By allowing customers to interact naturally with an AI agent, you can increase engagement, provide immediate and relevant support, and thus drive sales by effectively guiding users toward their purchases.
Related terms : AI Agent · Conversational AI · Chat widget
CSAT (Customer Satisfaction Score)
CSAT, or Customer Satisfaction Score, is a key performance indicator that measures a customer's level of satisfaction following a specific interaction, product, or service. It is typically collected via a direct question such as "How satisfied are you with your experience?" with a response scale (e.g., from "very dissatisfied" to "very satisfied" or a numerical scale). The score is calculated as a percentage of positive responses. CSAT is a barometer of short-term satisfaction, allowing for quick identification of strengths and areas for improvement in the customer journey.
Why it matters for your e-commerce
For your e-commerce, a good CSAT is essential as it reflects the perceived quality of your services and products. An AI agent can improve this score by providing quick and relevant answers, efficiently resolving queries, and personalizing the customer experience, thus transforming interactions into positive moments.
Related terms : Customer Experience (CX) · NPS (Net Promoter Score) · Deflection Rate
Customer Experience (CX)
Customer Experience (CX) encompasses all perceptions and feelings a customer develops during all their interactions with a brand, from initial discovery to after-sales service. It includes every touchpoint, whether physical or digital, and directly influences satisfaction, loyalty, and willingness to recommend. A positive CX is characterized by ease, efficiency, personalization, and emotion, and has become a key differentiator in a competitive market, directly impacting a company's commercial performance.
Why it matters for your e-commerce
An excellent customer experience is the engine of loyalty and growth for your e-commerce. By offering fluid, personalized, and efficient interactions, notably through an AI agent, you transform visitors into regular buyers and brand ambassadors, thus increasing your revenue.
Related terms : AI Agent · CSAT (Customer Satisfaction Score) · NPS (Net Promoter Score)
Deflection Rate
The deflection rate measures the proportion of customers who, after attempting to contact customer support through a traditional channel (phone, email), are redirected or find a solution through a self-service channel (FAQ, chatbot, knowledge base). A high deflection rate indicates that customers are able to resolve their issues autonomously, thereby reducing the workload of human agents and operational costs. It is a key indicator of the effectiveness of self-service tools and a company's ability to optimize its customer service.
Why it matters for your e-commerce
A high deflection rate means fewer tickets for your teams, reducing operational costs and allowing your agents to focus on complex cases. An AI agent can significantly increase this rate by instantly resolving common queries, improving efficiency and customer satisfaction for your e-commerce.
Related terms : AI Agent · Dynamic FAQ · First Contact Resolution Rate (FCR)
Dynamic FAQ
A dynamic FAQ is an advanced version of the traditional Frequently Asked Questions, which uses artificial intelligence and natural language processing (NLP) to provide personalized and contextual answers to user questions. Unlike a static FAQ, it does not merely display a predefined list of questions and answers, but interprets natural language queries, searches for relevant information in an extensive knowledge base, and generates precise answers in real-time. It continuously learns and improves through interactions, offering a more intuitive and efficient self-service experience.
Why it matters for your e-commerce
A dynamic FAQ is a major asset for your e-commerce, as it allows customers to instantly find answers to their questions, thereby reducing the need to contact support. Powered by an AI agent, it enhances user autonomy and frees your teams from repetitive inquiries, optimizing the customer experience.
Related terms : AI Agent · Conversational AI · RAG (Retrieval-Augmented Generation)
E-commerce Conversion Rate
The e-commerce conversion rate is a key performance indicator (KPI) that measures the percentage of website visitors who complete a desired action, typically a purchase. It is calculated by dividing the number of conversions (e.g., orders) by the total number of visitors over a given period, then multiplying the result by 100 to get a percentage. This rate is fundamental for evaluating the effectiveness of an e-commerce site and its marketing strategies. A high conversion rate indicates a good match between the offer, user experience, and customer expectations.
Why it matters for your e-commerce
A high conversion rate is the engine of your e-commerce profitability, turning visitors into paying customers. An AI agent can proactively guide users, answer their questions in real-time, remove purchase barriers, and recommend relevant products, thereby significantly increasing conversion chances.
Related terms : Average Order Value (AOV) · Cart abandonment · Conversational commerce
Fine-tuning
Fine-tuning is a machine learning technique that involves adapting a pre-trained AI model (such as a large language model) to a specific task or domain by further training it on a smaller, targeted dataset. Rather than building a model from scratch, fine-tuning allows leveraging the general knowledge acquired by the initial model, then specializing it for precise needs, thereby improving its performance and relevance for particular applications without requiring massive training resources.
Why it matters for your e-commerce
Fine-tuning allows you to customize your AI agent to speak your brand's language and understand the specifics of your products and customers. This ensures more accurate and relevant responses, improving support efficiency and customer experience, which can increase sales and loyalty.
Related terms : LLM (Large Language Model) · RAG (Retrieval-Augmented Generation) · Prompt
First Contact Resolution Rate (FCR)
First Contact Resolution Rate (FCR) is a performance indicator that measures the percentage of customer inquiries resolved during the first interaction, without requiring follow-up or additional contacts. A high FCR signifies efficient customer service and increased customer satisfaction, as the customer receives a quick solution to their problem. It also reduces operational costs by decreasing the number of ticket re-openings and repeated interactions. FCR is a cornerstone of a smooth and frictionless customer experience.
Why it matters for your e-commerce
A high FCR is crucial for your e-commerce, as it maximizes customer satisfaction and reduces your team's workload. An AI agent can autonomously and accurately resolve many common inquiries on the first contact, freeing up your teams for more complex cases and improving overall efficiency.
Related terms : AI Agent · Human Handoff · Customer Experience (CX)
First Response Time (FRT)
First Response Time (FRT) is a key performance indicator in customer service that measures the average delay between the moment a customer submits a request and the first response received from support. A short FRT is crucial for customer satisfaction, as it reduces waiting time and signals to the customer that their request is being addressed. It is calculated by dividing the total time of first responses by the number of requests. An optimized FRT contributes to a better customer experience and can prevent the escalation of dissatisfaction.
Why it matters for your e-commerce
For your e-commerce, a fast FRT is vital to retain customer attention and prevent abandonment. An AI agent can provide an instant first response 24/7, informing the customer, resolving simple issues, or qualifying the request, thereby significantly improving the initial experience.
Related terms : AI Agent · Conversational AI · Customer Experience (CX)
GDPR and AI
The General Data Protection Regulation (GDPR) imposes strict requirements for the processing of personal data, including that collected and processed by artificial intelligence systems. For AI, this implies principles of data minimization, algorithmic transparency, informed consent, the right to be forgotten, and data portability. GDPR also requires a Data Protection Impact Assessment (DPIA) for high-risk processing, and regulates automated decision-making, including profiling, by guaranteeing a right to human intervention and explanation. Compliance is essential to avoid heavy penalties.
Why it matters for your e-commerce
GDPR compliance is non-negotiable for any company using AI, especially with customer data. Adhering to these rules protects your e-commerce from hefty fines, strengthens customer trust, and ensures ethical and responsible AI use, which is essential for a solid reputation.
Related terms : Sovereign AI · AI Agent · Customer Experience (CX)
Hallucination (AI)
In artificial intelligence, "hallucination" refers to the tendency of a model, particularly a large language model (LLM), to generate information that seems plausible but is factually incorrect, invented, or disconnected from reality. These errors are not intentional but result from the model's limitations in distinguishing truth from fiction or accessing accurate data. Hallucinations can compromise the reliability of AI systems, especially in applications requiring high factual accuracy, such as customer support or information retrieval.
Why it matters for your e-commerce
Hallucinations can severely damage customer trust and your brand's reputation by providing incorrect information. It is crucial to use AI agents designed to minimize this risk, for example via RAG, to ensure reliable responses and maintain a positive customer experience.
Related terms : RAG (Retrieval-Augmented Generation) · LLM (Large Language Model) · Customer Experience (CX)
Human Handoff
Human handoff is the process by which a customer interaction, initially managed by an AI agent or chatbot, is transferred to a human advisor. This transfer occurs when the AI agent cannot resolve the query due to its complexity, specificity, or the need for emotional intervention or human expertise. The goal is to ensure a smooth transition for the customer, guaranteeing that their request is ultimately handled satisfactorily, without interruption in the support experience.
Why it matters for your e-commerce
Human handoff is essential to ensure optimal customer satisfaction, even with an AI agent. It allows for handling complex or sensitive cases, preventing frustration and strengthening trust. A smooth transition to a human ensures that every customer receives the necessary help, thus protecting your e-commerce reputation.
Related terms : AI Agent · Customer Experience (CX) · First Contact Resolution Rate (FCR)
LLM (Large Language Model)
A Large Language Model (LLM) is a type of artificial intelligence model trained on vast amounts of text data to understand, generate, and manipulate human language. These models are capable of performing a multitude of linguistic tasks, such as translation, text writing, answering questions, or summarizing information. Their complex architecture allows them to identify patterns and semantic relationships, making their interactions and textual productions remarkably coherent and contextual.
Why it matters for your e-commerce
LLMs are the brain of your AI agent, enabling fluid and intelligent customer interactions. They understand complex queries and generate relevant responses, improving support efficiency and customer experience quality, which can directly impact your sales.
Related terms : Conversational AI · RAG (Retrieval-Augmented Generation) · Prompt
NPS (Net Promoter Score)
NPS, or Net Promoter Score, is a customer loyalty metric that assesses the likelihood of a customer recommending a company, product, or service to others. It is measured by a single question: "On a scale of 0 to 10, how likely are you to recommend [Company/Product/Service Name] to a friend or colleague?" Customers are categorized as promoters (9-10), passives (7-8), or detractors (0-6). The NPS is calculated by subtracting the percentage of detractors from the percentage of promoters. It provides insight into overall satisfaction and organic growth potential.
Why it matters for your e-commerce
A high NPS is crucial for your e-commerce, as it indicates strong customer loyalty and positive word-of-mouth, which are drivers of growth. An AI agent can help improve it by providing a seamless and personalized customer experience, turning customers into brand advocates.
Related terms : Customer Experience (CX) · CSAT (Customer Satisfaction Score) · E-commerce Conversion Rate
Omnichannel Support
Omnichannel support refers to a customer service strategy that integrates all contact points (chat, email, phone, social media, etc.) to provide a seamless and consistent customer experience, regardless of the channel used. Unlike multichannel support, omnichannel maintains the context of the customer interaction from one channel to another, allowing agents to pick up a conversation where it left off, without the customer having to repeat their issue. This customer-centric approach improves satisfaction, loyalty, and operational efficiency by offering a unified view of the customer journey.
Why it matters for your e-commerce
Omnichannel support is essential for your e-commerce to meet the expectations of modern customers who use various channels. It ensures a frictionless experience, where an AI agent can initiate a conversation on one channel and transfer it with full context to a human on another, guaranteeing perfect continuity.
Related terms : Unified Inbox · Customer Experience (CX) · AI Agent
Prompt
A prompt is an instruction or question given to an artificial intelligence model, particularly a large language model (LLM), to guide its text generation or response. It can be a simple sentence, a detailed paragraph, or even a set of structured data. The quality and clarity of the prompt are crucial, as they directly influence the relevance, accuracy, and format of the AI-generated output. The art of designing effective prompts is called "prompt engineering."
Why it matters for your e-commerce
Well-designed prompts are key to getting accurate and useful responses from your AI agent, ensuring a smooth customer experience. They allow guiding the AI towards relevant information and the desired tone, thus optimizing support efficiency and customer satisfaction.
Related terms : LLM (Large Language Model) · Conversational AI · Fine-tuning
RAG (Retrieval-Augmented Generation)
RAG (Retrieval-Augmented Generation) is an AI architecture that combines the power of large language models (LLMs) with the ability to retrieve relevant information from an external knowledge base. Before generating a response, the RAG system searches for factual data in documents or databases, then uses this information to enrich the LLM's context. This approach allows for the production of more accurate, relevant, and up-to-date responses, while reducing the risk of hallucinations and providing verifiable sources.
Why it matters for your e-commerce
RAG enables your AI agent to provide ultra-accurate responses based on your own data (product catalog, FAQ, policies). This ensures reliable and consistent information for your customers, improving their trust and reducing errors, which is crucial for satisfaction and loyalty.
Related terms : LLM (Large Language Model) · Hallucination (AI) · Dynamic FAQ
Reassurance signals
Reassurance signals are visual or textual elements present on an e-commerce site, designed to build trust with the visitor and remove purchase barriers. They aim to reduce perceived uncertainties and risks, such as payment security, product quality, or delivery reliability. These signals can include secure payment logos, positive customer reviews, guarantees (money-back), clear return policies, quality certifications, or information on free delivery. Their presence is crucial for converting visitors into loyal customers.
Why it matters for your e-commerce
Reassurance signals are essential for building trust and reducing purchase hesitation. By displaying them clearly, you decrease cart abandonment rates and increase your conversions. An AI agent can also reinforce this trust by providing accurate and reassuring information about your policies and services.
Related terms : E-commerce Conversion Rate · Cart abandonment · Customer Experience (CX)
Revenue attribution
Revenue attribution is the process of identifying and assigning the value of a sale to one or more marketing touchpoints that contributed to the customer's purchase decision. This allows businesses to understand the effectiveness of their various marketing channels and campaigns. Several attribution models exist, such as first-touch, last-touch, or multi-touch models that distribute credit across the entire customer journey. Accurate attribution is crucial for optimizing marketing budgets, improving return on investment (ROI), and refining acquisition and retention strategies.
Why it matters for your e-commerce
Understanding revenue attribution is vital for optimizing your marketing spend and maximizing your ROI. It allows you to know which channels and interactions truly generate sales, and to adjust your strategies for more effective growth. AI agents can provide valuable data on customer interactions that lead to conversion.
Related terms : E-commerce Conversion Rate · Customer Experience (CX) · AI Agent
Session (session-based billing)
In the context of session-based billing, a session represents a period of continuous interaction between a user and a service or application, often a conversational agent. It is defined by specific criteria, such as a maximum period of inactivity (e.g., 30 minutes without a message) or a limited number of exchanges. Once these criteria are exceeded, the session ends, and a new session is initiated if the interaction resumes. This billing model is commonly used for usage-based services, allowing for transparent pricing proportional to the user's actual activity with the AI agent.
Why it matters for your e-commerce
Session-based billing offers great flexibility and cost predictability for AI agent usage. You only pay for actual customer engagement, which optimizes your budget and ensures efficient resource utilization, without hidden fees for inactive interactions.
Related terms : AI Agent · Conversational AI · Chat widget
Sovereign AI
Sovereign AI refers to artificial intelligence systems whose development, hosting, and operation are entirely controlled and managed within a specific national or regional jurisdiction. The objective is to ensure that the data processed, the algorithms used, and the decisions made by the AI comply with local laws, ethical standards, and data security requirements, particularly regarding privacy and personal data protection. This allows a country or region to maintain strategic and technological autonomy, avoiding dependence on foreign powers for critical infrastructure.
Why it matters for your e-commerce
Adopting Sovereign AI is crucial for your data security and regulatory compliance, especially with GDPR. It strengthens customer trust by ensuring their information is processed in France, under French jurisdiction, and protects you from risks associated with foreign legislation.
Related terms : GDPR and AI · AI Agent · LLM (Large Language Model)
Ticket (Customer Support)
In the context of customer support, a ticket is a formal record of a request, problem, or question submitted by a customer. It is used to track and manage each customer interaction from its opening to its resolution. Each ticket contains essential information such as the customer's identity, the nature of the request, communication history, and actions taken. Ticketing systems help organize workflow, assign tasks to appropriate agents, and ensure rigorous follow-up, guaranteeing that no request is overlooked and that issues are resolved in a structured manner.
Why it matters for your e-commerce
Ticket management is fundamental for your e-commerce to organize and prioritize customer requests, ensuring efficient follow-up. An AI agent can automatically create, pre-qualify, or even resolve tickets, thereby reducing your teams' workload and accelerating request processing.
Related terms : Unified Inbox · Human Handoff · First Contact Resolution Rate (FCR)
Unified Inbox
A unified inbox is a centralized interface that aggregates all customer communications from various channels (email, live chat, social media, phone, etc.) into a single location. Its purpose is to provide support agents with a complete and consistent view of all interactions with a given customer, regardless of the channel used. This prevents loss of context, improves agent efficiency, and offers a smoother, more personalized customer experience, ensuring every request is handled with all relevant information at hand.
Why it matters for your e-commerce
For your e-commerce, a unified inbox is essential for efficiently managing a growing volume of inquiries across various channels. It allows your support teams to gain productivity and offer a consistent customer experience, by having a complete history of exchanges without juggling between different platforms.
Related terms : Omnichannel Support · Ticket (Customer Support) · Customer Experience (CX)
