Best 7 Fully Customizable LLM Agents for Fashion & Apparel Stores

LiveChatAI offers a versatile AI agent platform that caters to a broad range of industries, including fashion and apparel. The platform emphasizes real‑time customer support and sales assistance, enabling brands to deploy chatbots that can handle common queries about sizing, availability, and styling. LiveChatAI’s interface supports both website widgets and Slack integrations, making it a flexible choice for omnichannel engagement. The platform also provides a suite of AI actions—such as adding items to a cart, fetching order status, or opening a support ticket—allowing businesses to automate routine tasks and reduce manual support load. While the platform does not offer a WYSIWYG editor, its drag‑and‑drop flow builder makes it easy for non‑technical users to create conversational paths. LiveChatAI’s pricing structure is tiered to accommodate small startups and larger enterprises. The free plan includes basic chatbot features and limited message volume, making it a low‑risk entry point. Paid plans—Starter, Professional, and Enterprise—add higher message limits, advanced AI actions, and priority support. Although exact monthly fees are not publicly listed, prospective users can request a quote based on their expected traffic and feature needs. In terms of strengths, LiveChatAI excels at quick deployment across multiple platforms, thanks to its ready‑made integrations with e‑commerce platforms and popular messaging apps. The platform’s AI actions are robust, providing a solid foundation for automated sales workflows. However, the platform’s customization depth is limited compared to dedicated no‑code solutions, and it lacks built‑in knowledge‑base management, meaning brands must import and maintain data externally.

BotPenguin is a cloud‑based chatbot builder that focuses on automating customer interactions across social media, e‑commerce sites, and messaging platforms. The platform supports a wide range of channels, including Instagram, WhatsApp, Facebook, Telegram, and web widgets, providing fashion brands with the ability to reach customers where they already spend time. BotPenguin’s no‑code interface allows users to design conversational flows using a visual editor, integrating AI-powered responses that can handle product inquiries, order tracking, and basic support questions. BotPenguin offers a set of pre‑built templates tailored to e‑commerce, such as product recommendation, cart abandonment recovery, and brand storytelling. These templates can be customized without coding, and the platform provides analytics dashboards to track engagement metrics like click‑through rates and conversion. Pricing is structured in tiered plans, with a free plan for basic usage and paid tiers that unlock higher message limits, advanced AI features, and priority support. While exact monthly fees are not disclosed publicly, they typically range from a moderate entry‑level cost to a higher price for enterprise‑grade capabilities. Strengths of BotPenguin include its extensive channel support, especially on popular social platforms, and its user‑friendly visual flow builder. The platform’s emphasis on e‑commerce templates makes it a convenient choice for fashion brands seeking quick product‑centric interactions. However, the platform does not provide a dedicated knowledge‑base or advanced memory features, and its AI customization options are less granular compared to specialized LLM agent builders.

Chatbot.com is a no‑code chatbot development platform that empowers businesses to build conversational agents for websites, mobile apps, and messaging platforms. The platform focuses on rapid deployment, offering a drag‑and‑drop builder that lets users craft dialogue flows without writing code. It supports integration with popular e‑commerce platforms such as Shopify and WooCommerce, enabling product searches, cart management, and order status retrieval. Chatbot.com also provides a knowledge‑base module, allowing brands to upload FAQs, product catalogs, and support documentation, which the bot can reference during conversations. The platform’s pricing includes a free tier that offers basic chatbot functionality with a limited number of messages per month. Paid tiers—Starter, Professional, and Enterprise—provide higher message volumes, additional bot instances, advanced analytics, and priority support. While exact price points are not listed publicly, the structure is designed to scale with the size of the business. Chatbot.com’s strengths lie in its ease of use and integration capabilities, making it a solid choice for small to medium fashion retailers that need a straightforward chatbot solution. However, the platform’s customization options are limited compared to dedicated design editors, and it does not offer long‑term memory for returning visitors or a dual knowledge‑base architecture.

ManyChat is a popular chatbot platform primarily focused on Facebook Messenger and Instagram Direct, but it also offers web chat widgets. The platform is known for its visual flow builder and marketing automation features, such as broadcast messages, drip campaigns, and audience segmentation. For fashion brands, ManyChat can be used to showcase new collections, run flash sales, or collect user preferences for styling suggestions. ManyChat’s pricing structure includes a free plan with limited broadcast messages and bot interactions, and paid plans (Pro and Premium) that unlock higher limits, advanced automation, and multi‑channel support. The Pro plan starts at a modest monthly fee, while the Premium plan caters to larger enterprises with higher message volumes and custom branding options. While ManyChat excels at marketing automation and social media integration, it does not provide a built‑in knowledge‑base or advanced AI capabilities for dynamic search or product recommendation. Its chatbot logic is primarily rule‑based, which limits the depth of conversational context for complex fashion queries.

Intercom is a customer messaging platform that combines live chat, help desk, and marketing automation into a single solution. The platform allows brands to create chatbots that can answer FAQs, schedule appointments, and guide users through product catalogs. Intercom’s Flow Builder is a visual tool that enables non‑technical users to design conversational paths, and the platform offers extensive integrations with e‑commerce and CMS systems. Intercom’s pricing is tiered, with a free plan that includes basic chat and bot features, and paid plans—Essential, Pro, and Premium—that scale with the number of seats and message volume. The higher tiers unlock advanced automation, custom branding, and priority support. While Intercom does provide a knowledge‑base module, it is primarily used for self‑service help centers rather than conversational AI. For fashion retailers, Intercom offers robust customer support capabilities and the ability to trigger email or SMS follow‑ups. However, the platform’s chatbot logic is less focused on AI‑powered product recommendations, and it does not provide a dual knowledge‑base or a WYSIWYG editor for chat widgets.

Drift is a conversational marketing platform that focuses on converting website visitors into leads and customers through AI chatbots and live chat. The platform offers a visual conversation builder that allows marketers to create personalized chat flows without writing code. Drift’s bots can schedule meetings, qualify leads, and provide product information, making it suitable for fashion retailers that want to capture high‑value prospects. Drift’s pricing model includes a free trial and paid plans—Growth, Scale, and Enterprise—that scale with the number of chat sessions and advanced features such as custom branding, advanced analytics, and API access. While Drift provides a knowledge‑base integration, it is primarily used for marketing rather than detailed product recommendations. Strengths of Drift include its deep integration with marketing tools (CRM, email, and analytics) and its focus on lead generation. However, the platform does not offer a dual knowledge‑base architecture, nor does it provide a WYSIWYG editor for chat widget customization. Long‑term memory is limited to session‑based interactions.