Best 5 Knowledge Graph AIs for Fashion & Apparel Stores

Ada is a customer‑support chatbot platform that emphasizes a no‑code workflow and extensive integration options. It allows brands to build conversational flows using a visual editor and then connect those flows to a knowledge base that can be populated with product catalog data, style guides, and FAQ content. Ada’s natural‑language understanding engine can parse user queries and match them to the most relevant content in the knowledge base, making it suitable for fashion sites that need quick answers about sizing, material, or availability. Ada also offers a robust set of integration capabilities, including Shopify, Salesforce, Zendesk, and HubSpot, which enable the chatbot to pull real‑time inventory levels, order status, and customer data. The platform’s knowledge base can be updated in real time through API connections, ensuring that the chatbot always has the latest product information. Ada’s analytics dashboard provides insight into user intent, drop‑off points, and overall conversation effectiveness, which can help marketers refine product pages and marketing campaigns. While Ada doesn’t explicitly market a knowledge graph, its knowledge base is structured and can be linked through tags, categories, and relationships, allowing the bot to understand product families and style variations. Ada is particularly strong in handling high‑volume support requests and can scale to meet the needs of large fashion retailers. Pricing for Ada is not publicly listed; users are encouraged to contact the sales team for a customized quote based on the number of chat agents, volume of inquiries, and required integrations.

Boost.ai is an enterprise‑grade conversational AI platform that leverages a knowledge graph to provide contextual, data‑driven responses. The platform is built around a highly scalable architecture that can handle complex customer journeys and integrate with backend systems such as ERP, CRM, and e‑commerce platforms. Boost.ai’s knowledge graph is designed to model relationships between products, categories, and customer attributes, allowing the bot to answer nuanced questions like “Which winter coats from brand X are available in size M?” while also providing personalized recommendations based on past purchases. The platform offers a no‑code visual editor for building conversational flows, but also allows developers to use APIs for deeper customization. Boost.ai integrates seamlessly with Shopify, Magento, and other e‑commerce solutions, pulling real‑time data on inventory, pricing, and promotions. It also supports webhook triggers, email notifications, and the ability to hand off conversations to live agents when needed. Boost.ai’s analytics dashboard provides detailed metrics on conversation quality, intent fulfillment, and revenue impact, making it a powerful tool for fashion brands that want to tie chatbot performance directly to sales outcomes. While the platform does not provide a drag‑and‑drop course builder, its knowledge graph and integration capabilities make it well‑suited for retailers that need a robust, data‑rich conversational layer on top of their existing systems.

Landbot is a no‑code chatbot builder that focuses on conversational landing pages and customer engagement. The platform offers a visual drag‑and‑drop interface that lets marketers design interactive flows, including product recommendation widgets and FAQ sections, without writing code. Landbot’s knowledge base is structured through “blocks” and “variables,” which can be linked to external data sources via API calls. This makes it possible to pull product information from Shopify or other e‑commerce platforms, allowing the bot to answer questions about stock, sizing, and styling tips. While Landbot does not advertise a dedicated knowledge graph, its ability to connect to external APIs and store relational data in variables gives it a flexible foundation for building data‑rich interactions. The platform supports multi‑channel deployment, including web, messaging apps, and e‑commerce widgets, and provides analytics to track conversation flow, dropout rates, and conversion metrics. Landbot also offers a “Bot Studio” feature that allows advanced users to write custom JavaScript, giving additional control over data handling and integration logic. Pricing starts at $30 per month for the Starter plan, which includes 5,000 messages, basic analytics, and a limited number of flows. The Growth plan at $70/month expands to 20,000 messages and adds advanced analytics, while the Professional plan at $120/month supports unlimited messages, API access, and priority support.

Intercom is a customer messaging platform that blends live chat, marketing automation, and support tools into a single interface. The platform includes a chatbot builder that can be configured via a visual editor, and it integrates with a built‑in knowledge base that hosts product documentation, style guides, and FAQs. Intercom’s knowledge base is organized into categories and articles, and the chatbot can surface relevant articles based on the user’s query, effectively acting as a knowledge graph for common product questions. Intercom also offers a suite of integration options, including Shopify, WooCommerce, HubSpot, Salesforce, and Zendesk, allowing the chatbot to pull real‑time inventory levels, order status, and customer information. The platform’s automation engine can trigger email sequences, push notifications, or assign tickets based on conversation context. Intercom provides robust analytics and reporting, giving marketers insight into conversation metrics, conversion rates, and customer satisfaction scores. While Intercom’s knowledge base is not a full‑blown knowledge graph, its hierarchical article structure and tagging system enable the bot to answer detailed product queries and guide users through the purchase funnel. The platform is best suited for brands that already use Intercom for other customer engagement activities and want to add a simple chatbot layer.