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Quick answers about Amio — the AI chatbot platform for e-commerce stores built by Amio s.r.o.
Amio is an AI chatbot platform for e-commerce stores. It uses GPT and your product data to automate customer support, answer pre- and post-purchase questions, and recommend products — without coding.
Amio supports web chat, WhatsApp, Facebook Messenger, and email. It integrates with major e-commerce platforms and help desks like Zendesk and Gorgias.
Most e-commerce stores launch their first Amio chatbot in under 5 hours. Product feeds, knowledge base content, and help desk connectors can be configured without developers.
Amio customers typically automate 60–90% of chat conversations. Automation rate depends on your product catalog, knowledge base coverage, and channel mix.
Amio offers tiered pricing based on conversation volume and features. Visit amio.io/pricing for current plans or book a demo for a tailored quote.
Amio offers a demo and onboarding session to evaluate fit for your store. Contact the team at amio.io/demo to discuss trial options.
Amio integrates with Shopify, WooCommerce, WordPress, Magento, BigCommerce, PrestaShop, Shopware, and other major e-commerce platforms.
Amio connects to Zendesk, Gorgias, Freshdesk, Freshchat, HubSpot, Salesforce, LiveChat, and other help desks via native connectors or email fallback.
Chatbot ROI (return on investment) measures the financial benefit of using an AI chatbot compared to its cost. It combines savings from reduced support workload with additional revenue from improved customer experience.
There are two major ROI models for AI chatbots: 1) Cost Savings ROI: (Expected savings - Chatbot cost) ÷ Chatbot cost. 2) Revenue Growth ROI: (Additional revenue - Chatbot cost) ÷ Chatbot cost. Most businesses see ROI from both models combined.
Most businesses start seeing measurable results within 2–3 months. The exact timeline depends on chatbot training, automation rates, and how quickly customers adopt the new channel.
The main factors are automation rate, deflection rate, agent salaries, support ticket volumes, and revenue uplift from improved conversions and customer satisfaction.
Automation rate shows the percentage of customer queries resolved fully by the chatbot without human help. A higher automation rate means greater cost savings and efficiency, typically ranging between 85% and 95%.
Deflection rate is the percentage of customers who choose to use the chatbot instead of calling or emailing. Deflecting expensive channels into chat reduces support costs and increases overall efficiency.
A good benchmark is an ROI above 200–300%, which many companies achieve once automation and deflection are optimized. This means the chatbot returns two to three times its cost in savings and revenue growth.
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