Scale customer support for Black Friday and beyond. Handle product questions, returns, and store inquiries across every channel.
Trusted by teams across SaaS, ecommerce, and agencies
Problem
Your best agents spend most of their time on repetitive questions instead of problems that actually require human judgment. The cost of slow response times is always higher than the cost of automation.
Solution
Chatsy gives you an AI agent that answers accurately, stays on policy, and hands off smoothly when a human is needed.
How it works
Integrate with your POS, inventory, order management, and loyalty systems for real-time data access.
Upload product information, sizing guides, FAQs, and return policies so the AI knows your business.
Add the chatbot to your website, mobile app, and social channels for consistent omnichannel support.
Monitor performance, refine responses, and prepare AI workflows for seasonal demand surges.
Results
Absolutely. Chatsy scales automatically to handle peak retail demand. Whether you get 100 or 100,000 inquiries in a day, every customer receives an instant response. The AI handles the surge in order tracking, return requests, and product questions without degradation.
Yes, Chatsy integrates with retail platforms including Shopify, Square, Lightspeed, and custom POS systems via API. The AI accesses real-time inventory across all locations, order data, and customer purchase history.
We'd rather help you find the right tool than sell you the wrong one.
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Find the right AI agent for your industry or use case.
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Guide customers through return policies, generate labels, and track refund status conversationally.
Yes, connect your product catalog and the AI provides personalized recommendations based on customer questions, preferences, and browsing context. It can compare products, suggest sizes, and recommend complementary items, turning support interactions into sales opportunities.
Chatsy walks customers through your return policy regardless of purchase channel. It can generate return labels for shipped items, provide store drop-off instructions for in-store returns, and track refund status. The AI handles the entire process conversationally.
Yes, integrate your loyalty platform and the AI answers points balance questions, explains rewards tiers, helps with redemption, and promotes program benefits to non-members. This reduces call center load while improving loyalty engagement.
Practical retail AI use cases include customer-support chatbots for product, return, and store-info questions; demand forecasting and inventory replenishment; computer-vision shelf monitoring; personalized recommendations on product detail pages; loss-prevention analytics; and dynamic pricing. The lowest-risk starting point is a support chatbot trained on your product catalog and store info, since the ROI is measurable in deflected tickets and faster response times.
Common retail chatbot examples include Sephora's product recommendation bot on Messenger, H&M's outfit-recommendation chatbot, Domino's ordering assistant, and Shopify-store bots powered by tools like Tidio, Gorgias, or Chatsy that handle order tracking, returns, and product Q&A. The pattern is usually: pull product and order data from the e-commerce platform, layer AI on top, and embed in chat or Messenger.
For Shopify stores: Gorgias, Tidio, and Re:amaze are e-commerce-native picks. For multi-platform retail (Shopify + WooCommerce + custom): Chatsy and Intercom work across stacks. For enterprise retail with deep CRM integration: Salesforce Einstein and Zendesk AI. Pick based on your e-commerce platform first, then layer pricing model (per-ticket vs. flat) on top.
