Gia Phong Furniture: AI Handles 80% of Consultation Inquiries
Gia Phong Furniture upgraded its operations with Easy AI’s AI-native platform, providing 24/7 consultations, efficiently handling customer inquiries, and optimizing the conversion journey.
For furniture retailers, a purchase often involves a high-value decision and an extended consideration period. Customers need timely answers about products and options, while sales teams must maintain consultation quality across multiple conversations. This is where AI for furniture retail can support the customer journey: answering common questions, capturing potential leads, and helping businesses follow up consistently.
Gia Phong Furniture partnered with Easy AI to bring AI customer service and sales support into its operations. Within three months, the AI handled 80% of customer support requests and captured leads, while the company also recorded improvements in customer satisfaction, response time, and conversion rate.
1. Project Overview
Gia Phong Furniture is a Vietnamese furniture business with more than 10 years of experience. It operates four showrooms and a 2,000 m² factory, serving customers who need guidance as they consider furniture purchases.
To support its sales operations, the company implemented Easy AI’s platform across customer consultation and follow-up workflows. The system combined a chatbot and live chat interaction layer with customer data management, marketing automation, and conversation analytics.
The goal was to make customer support more responsive and consistent while helping the sales team turn inquiries into opportunities.
2. Business Context and Challenges
2.1 High order values and long decision cycles
Furniture purchases often involve substantial spending. Customers may compare products, materials, designs, and prices before making a decision. The resulting sales journey can require multiple conversations and follow-ups.
For Gia Phong Furniture, this meant each inquiry could require more than a quick product answer. Customers needed relevant consultation throughout the decision process, while the business needed to maintain momentum between interactions.
2.2 Converting demand to revenue
Customer inquiries create sales opportunities, but those opportunities can be difficult to convert when follow-up is delayed or inconsistent. Each conversation needs to help customers make progress, whether by answering a question, understanding their needs, or connecting them with a sales representative.
The business therefore needed a way to handle incoming demand efficiently and capture potential leads for continued consultation.
2.3 Balancing response speed and consultation quality
Before deployment, Gia Phong Furniture had two online sales staff handling approximately 60–70 customers per day. A team of this size can face pressure to respond quickly while still providing thoughtful, relevant advice.
When inquiry volume rises, sales staff may spend a large share of their time answering recurring questions. This can make it harder to give each customer the attention needed for a high-value purchase.
2.4 Fragmented data
Customer conversations and information can be spread across channels and systems. Without a connected view, sales staff may have difficulty understanding a customer’s previous interactions or continuing a conversation with the right context.
A more organized data foundation was needed to support follow-up and provide a consistent customer experience.
2.5 Inconsistent information
When multiple staff members handle inquiries, customers may receive different answers to similar questions. Inconsistent information can create confusion and make it harder to build confidence during a considered purchase.
Gia Phong Furniture needed a way to make relevant information available to the team and AI, while retaining the option to involve a human consultant when a conversation required personal support.
3. Easy AI’s Solution
Easy AI deployed a combination of customer-facing AI and operational tools to support Gia Phong Furniture’s consultation and sales workflows.
3.1 Chatbot and live chat interaction layer
The chatbot served as the first point of response for customer inquiries. It provided 24/7 consultation support and handled requests that could be answered using the business’s available information.
When customers needed further assistance, the interaction could continue through live chat with a human staff member. This model allowed AI to support routine inquiries while keeping human consultation available for situations that required it.
As an AI sales assistant, the system helped the business respond to inquiries, capture leads, and support customer conversion without relying on staff to handle every interaction from the beginning.
3.2 Customer data platform and marketing automation
Easy AI connected customer information through a customer data platform (CDP), a system that brings customer data together to support a more unified view of interactions. The platform also supported follow-up workflows through marketing automation, including ZNS messages and email.
These tools helped Gia Phong Furniture continue engaging customers after their initial inquiries. The channels and workflows supported the customer journey beyond the first response, while the sales team remained involved where human consultation was needed.
3.3 Conversation analytics and reporting
Conversation analytics and reporting gave the business a way to review customer interactions and monitor operational outcomes. These insights supported ongoing evaluation of response performance, customer feedback, and the role of AI in the consultation process.
Ticket management, which organizes and tracks customer requests as cases, can also help teams coordinate follow-up and monitor service activity across conversations.
4. Business Impact
Within three months of implementation, Gia Phong Furniture recorded improvements across customer service and sales operations.
- Customer satisfaction score increased by 1%.
- The neutral-customer rate increased by 95%.
- Response time improved.
- AI handled 80% of support requests and captured leads.
- Conversion rate increased.
These results reflect the outcomes reported during the first three months of deployment. The 1% and 95% figures are stated as reported and do not imply an unstated baseline or measurement period beyond the information provided.
By taking on a substantial share of support requests, AI helped the team manage customer interactions while continuing to make human consultation available when needed. For Gia Phong Furniture, this combined approach supported a more responsive customer journey and stronger sales operations.
5. Easy AI Platform Overview
Easy AI is a Revenue AI OS that turns customer data and interactions into workflows designed to support business outcomes. The platform brings together AI customer service, customer data, marketing automation, and analytics so businesses can connect customer conversations with operational action.
Its capabilities include AI chat and live chat, ticket management, customer data platform (CDP) functionality, marketing automation, and analytics and reporting. For retail businesses, these capabilities can support customer consultations, lead capture, follow-up, and conversion measurement.
The platform is used by Thế Giới Di Động, Điện Máy XANH, and Bệnh viện Đại học Y Dược. Easy AI processes more than 10 billion tokens monthly using language models specialized for Vietnamese.
Gia Phong Furniture’s experience shows how AI for furniture retail can support a high-consideration purchase journey: responding to inquiries around the clock, handling a significant share of support requests, and helping sales teams focus their attention where human consultation matters. The work begins with operational needs and uses measurable business outcomes to assess progress.