AI-Powered Virtual Assistant for a Professional Cosmetics E-Commerce Platform
Challenge
The client, a leading EU distributor of professional cosmetics with more than 5,000 products, operated a B2C e-commerce marketplace and a dedicated mobile app for beauty professionals and salons. As customer volumes grew, the company faced a high number of repetitive inquiries through chat and phone, including product recommendations and order status requests.
Manual customer support was time-consuming, resource-intensive, and difficult to scale during promotions and holiday periods. It also limited opportunities for cross-selling, upselling, and recovering abandoned carts. In addition, professional cosmetics customers required knowledgeable guidance, which meant that support staff needed extensive product and domain training. The client needed a scalable way to automate routine support while maintaining relevant, expert-level assistance and supporting sales.
The client, a leading EU distributor of professional cosmetics with more than 5,000 products, operated a B2C e-commerce marketplace and a dedicated mobile app for beauty professionals and salons. As customer volumes grew, the company faced a high number of repetitive inquiries through chat and phone, including product recommendations and order status requests.
Manual customer support was time-consuming, resource-intensive, and difficult to scale during promotions and holiday periods. It also limited opportunities for cross-selling, upselling, and recovering abandoned carts. In addition, professional cosmetics customers required knowledgeable guidance, which meant that support staff needed extensive product and domain training. The client needed a scalable way to automate routine support while maintaining relevant, expert-level assistance and supporting sales.
Solution
QA Madness supported the development and quality assurance of a tailored AI-powered virtual assistant across three phases. First, a conversational chat assistant was introduced on the client's website and mobile app. The team fine-tuned a natural language model for the professional cosmetics domain and implemented product search, FAQ automation, personalized recommendations, and add-to-cart functionality.
The second phase extended the assistant to voice interactions. Users could contact the store by phone and communicate through speech, while the call center could also use the system for outbound calls. The solution handled voice recognition, natural dialogue, product and delivery inquiries, store policies, and escalation of complex requests to live agents.
In the third phase, the assistant was enhanced with intelligent selling and CRM integration. It supported upsell and cross-sell recommendations, proactive abandoned-cart recovery, personalized suggestions, real-time order status updates, and interaction logging. QA Madness provided end-to-end manual testing across the development phases, covering functional and UI behavior and validating that new features and integrations worked reliably before release.
QA Madness supported the development and quality assurance of a tailored AI-powered virtual assistant across three phases. First, a conversational chat assistant was introduced on the client's website and mobile app. The team fine-tuned a natural language model for the professional cosmetics domain and implemented product search, FAQ automation, personalized recommendations, and add-to-cart functionality.
The second phase extended the assistant to voice interactions. Users could contact the store by phone and communicate through speech, while the call center could also use the system for outbound calls. The solution handled voice recognition, natural dialogue, product and delivery inquiries, store policies, and escalation of complex requests to live agents.
In the third phase, the assistant was enhanced with intelligent selling and CRM integration. It supported upsell and cross-sell recommendations, proactive abandoned-cart recovery, personalized suggestions, real-time order status updates, and interaction logging. QA Madness provided end-to-end manual testing across the development phases, covering functional and UI behavior and validating that new features and integrations worked reliably before release.
Results
The completed solution established an automated support flow that combined chat and voice interactions with domain-specific product assistance and CRM integration. Over the six-month project, total sales increased by 18.8%, supported by automated customer assistance and intelligent selling capabilities.
Contextual product recommendations contributed to a 6% increase in average order value, while faster assistance resulted in a 6.7% conversion increase. Order volume grew by 5%, supported by improved customer satisfaction, retention, and referral traffic.
The AI assistant also significantly reduced the workload of the call center. The original team of 11 employees working across two shifts was reduced to two Level 2 supervisors, with the assistant handling first-line support autonomously. The solution achieved full ROI in under six months. QA Madness ensured quality across all three development phases, including validation of assistant functionality, NLP-related behavior, UI flows, and CRM synchronization before features went live.
The completed solution established an automated support flow that combined chat and voice interactions with domain-specific product assistance and CRM integration. Over the six-month project, total sales increased by 18.8%, supported by automated customer assistance and intelligent selling capabilities.
Contextual product recommendations contributed to a 6% increase in average order value, while faster assistance resulted in a 6.7% conversion increase. Order volume grew by 5%, supported by improved customer satisfaction, retention, and referral traffic.
The AI assistant also significantly reduced the workload of the call center. The original team of 11 employees working across two shifts was reduced to two Level 2 supervisors, with the assistant handling first-line support autonomously. The solution achieved full ROI in under six months. QA Madness ensured quality across all three development phases, including validation of assistant functionality, NLP-related behavior, UI flows, and CRM synchronization before features went live.