What types of AI assistant features did QA Madness test?

Our team validated conversational chat, voice recognition, NLP-based product recommendations, upsell and cross-sell logic, CRM integration, and cart recovery flows across web and mobile interfaces.

What results did AI assistant testing deliver for the cosmetics client?

Total sales grew by 18.8% over 6 months. AOV increased by 6%, conversion rate by 6.7%, and order volume by 5%. The call center was reduced from 11 employees to 2 Level 2 supervisors, with the AI handling first-line support autonomously.

How do you test AI-powered voice and chat assistants?

We test dialog accuracy, intent recognition, fallback handling, voice-to-text precision, and seamless handoff to live agents. We also validate CRM sync, real-time order status updates, and personalization logic.

Can QA Madness test AI assistants integrated with e-commerce platforms?

Yes. We cover end-to-end validation of AI assistants connected to e-commerce systems, including product catalogs, cart functionality, order tracking, and CRM data flows.

AI-Powered Virtual Assistant for a Professional Cosmetics E-Commerce Platform

Daria Halynska

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Daria Halynska

Tags: AI developmentfunctional testingmanual testingproject managementsoftware developmentUI testingUI/UX design

Industries: Digital Assistant

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