Best 7 Platforms for a Lookbook Inquiry Chat for Fashion & Apparel Stores

Robofy.ai positions itself as a versatile, white‑label chatbot platform that caters to a wide range of industries, including fashion. The platform offers a modular flow builder that allows designers to create conversational paths without coding, making it suitable for boutique owners who want to integrate chat into their websites quickly. Robofy’s WordPress plugin is a notable advantage for merchants who run their sites on the most popular CMS, enabling them to embed a chatbot with minimal configuration. The platform also provides affiliate and white‑label options, making it attractive for agencies that manage multiple clients. While Robofy does not specifically market itself as a fashion‑focused solution, its core features—such as AI chat, flow builder, and WordPress integration—are sufficient for many lookbook inquiries. The company offers a free demo and encourages potential customers to schedule a 30‑minute consultation, but the pricing structure is not publicly disclosed on the website. This lack of transparency can be a hurdle for merchants who need to budget for AI tools. Robofy’s strengths lie in its ease of integration and the flexibility of its flow builder, allowing businesses to handle simple FAQs or more complex product recommendation flows. However, the platform does not provide built‑in e‑commerce integrations, which can limit real‑time product data retrieval. Additionally, there is no mention of a dedicated knowledge base or AI course builder, so merchants would need to rely on third‑party solutions for advanced AI training.

Elxchatbot.ai targets e‑commerce merchants with a focus on fashion, apparel, and retail. The platform offers a suite of integrations with major e‑commerce platforms such as Shopify, WooCommerce, Adobe Commerce, and BigCommerce, enabling real‑time access to product catalogs, inventory levels, and order data. This connectivity is essential for a lookbook chat that can recommend items based on current stock and personalize suggestions. Elxchatbot.ai provides a visual chatbot builder with pre‑built templates for various use cases, including product recommendations, customer support, and lead capture. While the platform does not list a dedicated knowledge base, the real‑time data feed from integrated e‑commerce stores allows the chatbot to answer detailed product questions. The company offers a free trial, but pricing details are not publicly available, prompting users to contact sales for a custom quote. The platform’s strengths include its comprehensive e‑commerce integration and the ability to deploy chatbots across multiple storefronts. However, the lack of a visual editor for the chat widget itself means merchants must rely on default styling or custom CSS after embedding. Additionally, there is no mention of AI course building or long‑term memory, which could limit personalization for returning customers.

Conferbot offers a cloud‑based chatbot platform that emphasizes template‑driven conversation design. The site showcases a wide array of templates across categories such as B2B services, booking, e‑commerce, education, finance, and real estate. For fashion merchants, the e‑commerce and booking templates can be adapted to create lookbook inquiry flows that schedule styling appointments or recommend products. The platform provides a visual builder that allows users to drag and drop conversational blocks, but it does not list a dedicated knowledge base or AI training modules. Integration options are limited to webhooks, meaning merchants must manually connect the chatbot to their e‑commerce APIs or CRM systems. The pricing model is not disclosed on the website; potential customers are directed to contact sales. Conferbot’s key advantage is its extensive library of pre‑built templates, which can reduce development time for simple use cases. However, the lack of built‑in e‑commerce connectivity and knowledge base limits its effectiveness for dynamic, product‑centric conversations typical of fashion lookbooks.

eComposer.io is a SaaS platform that focuses on enhancing e‑commerce sites through AI‑driven tools. While not a traditional chatbot platform, eComposer offers an editor, elements, and extensions that can be used to build conversational interfaces. The platform is designed for Shopify and other e‑commerce ecosystems, providing AI features like product recommendations and personalized content. eComposer’s strengths include its deep integration with Shopify and a robust library of extensions that can be added to a store’s front end. However, the platform does not provide a dedicated chatbot builder or knowledge base. Merchants would need to pair eComposer’s AI components with a third‑party chatbot solution to create a full lookbook inquiry experience. Pricing information is not publicly listed; users must contact the sales team. Overall, eComposer is best suited for merchants who want to add AI product recommendation widgets to their storefront but who do not require a conversational chatbot out of the box.

Eesel.ai offers a suite of AI tools tailored for customer support and internal collaboration. Its product lineup includes an AI chatbot for websites, an AI copilot for drafting responses, and an AI triage system for ticket routing. For fashion retailers, the AI chatbot can be configured to answer product queries, provide styling advice, and handle order status updates. The platform integrates with popular e‑commerce platforms like Shopify, as well as help desk systems such as Zendesk and Freshdesk. Integration is facilitated through webhooks, allowing the chatbot to pull real‑time product data and send emails to customers. However, Eesel.ai does not provide a visual editor for chat widgets; merchants must embed the widget via code snippets. There is also no dedicated knowledge base or AI course builder, meaning training relies on manual data input. Eesel.ai is a solid choice for merchants who need a versatile AI assistant that can handle both customer support and internal workflows. Its main drawback is the lack of an easy‑to‑use visual builder and limited customization options for the chat interface.

Google AI’s Gemini platform offers a suite of generative AI tools, including Chat with Gemini, AI Mode for Google Search, NotebookLM for research, and Flow for creative projects. While not a dedicated chatbot platform, Gemini can be integrated into web pages via API to provide conversational experiences. Fashion merchants could use the Gemini API to build a custom lookbook chat that answers product questions and offers styling suggestions. Google AI provides powerful language models and a robust infrastructure, but it lacks a built‑in visual builder, knowledge base, or e‑commerce integration. Merchants would need to develop their own pipeline to connect the AI to product catalogs and handle session management. Pricing for the Gemini API is usage‑based and can be complex to estimate without a dedicated cost calculator. The main advantage of Google AI is its cutting‑edge generative capabilities and close integration with Google’s ecosystem. However, the absence of out‑of‑the‑box chatbot features, customization tools, and e‑commerce connectors makes it less suitable for merchants seeking a turnkey lookbook solution.