Luna Boutique Boosts Revenue 27% With Jinmi AI

Luna Boutique grew revenue 27% and cut staffing costs by 40–50% in two months using Jinmi Omni Channel for customer conversations.

Key results — 3 months with Jinmi AI

• Revenue up 27–35% vs. the same period last year
• Order conversion rate: 25% → 38%
• Missed messages: 15–20% → under 2%
• 5-star reviews up 20%
• Staffing costs reduced 40–50%

Luna Boutique is a women’s fashion store based in Ho Chi Minh City, run by owner Nguyễn Thùy Dung. With over 20,000 followers across Facebook and Instagram, the store had no shortage of reach — but turning that audience into sales was a daily struggle.

Background

Luna Boutique built a strong social following through regular collection launches and promotional campaigns. When new drops went live, interest would spike — and so would the inbox. Two staff members were responsible for handling all incoming messages across platforms, manually replying to every question about pricing, sizing, color, and availability.

The model worked — until it didn’t.

Challenges

Customers abandoned orders due to slow responses

Fashion buyers are decisive. An internal survey found that over 60% of Luna Boutique’s customers would leave without a purchase if they didn’t receive a reply within 10 minutes. Slow response times during peak hours meant losing sales to competitors — even when ads were driving real traffic.

Staff were stretched to breaking point

Two employees handled more than 500 messages per day. Typing out the same answers about sizes and stock availability dozens of times led to fatigue, inconsistent responses, and mistakes. The customer experience suffered, and so did the brand’s image.

No data to drive decisions

All customer records were kept in manual notes. The shop had no visibility into engagement rates, purchase conversion, or returning customer behaviour. Without data, owner Nguyễn Thùy Dung had no reliable way to build smarter sales strategies.

Solution: Jinmi Omni Channel

Ms. Nguyễn Thùy Dung implemented Jinmi Omni Channel, integrating the platform directly with Luna Boutique’s Facebook fanpage, Instagram, and website. All conversations were centralised into a single management interface — no more tab-switching, no more missed messages.

1. Automated 24/7 messaging

   The Jinmi AI chatbot was configured with scripts covering sizing charts, colour availability, stock levels, and return policies. Every incoming message receives an instant reply — at any hour, during any traffic spike.

2. Smart customer segmentation

   Jinmi AI automatically tagged customers as “New,” “Returning,” or “VIP” based on their behaviour. Each group received a tailored follow-up script: new customers got detailed onboarding, returning customers saw relevant new arrivals, and VIPs received exclusive offers.

3. Unified multi-platform inbox

   Messages from Facebook, Zalo, Instagram, and the website all flowed into one dashboard. Staff could monitor conversations, respond to escalations, and maintain fast turnaround — even during peak hours.

4. Staffing costs reduced through automation

   With the chatbot handling repetitive queries — which accounted for up to 70% of all daily messages — Luna Boutique scaled from four full-time inbox staff down to two. The freed capacity was redirected to product photography and high-value customer care.

Results

“The chatbot handles the questions I used to dread answering 50 times a day. Now my team focuses on things that actually move the needle.” — Nguyễn Thùy Dung, Owner, Luna Boutique

After two months of running Jinmi AI, Luna Boutique recorded measurable improvement across every key metric:

Metric	Before	After
Revenue growth	Baseline	+27–35%
Order conversion rate	25%	38%
Daily missed messages	15–20%	<2%
Average response time	15 minutes	3 minutes
Monthly staffing cost	4 staff needed	Reduced 40–50%
5-star reviews	Baseline	+20%

Response time dropped from 15 minutes to 3 minutes. Unanswered messages fell from 15–20% to under 2%. And with consistent, professional responses arriving instantly, customers began leaving significantly more positive reviews — fuelling organic referrals without additional ad spend.

Key takeaway: In fast-moving retail, the gap between a message and a reply is the gap between a sale and an abandoned cart. Automating that first response — reliably, at scale — is one of the highest-ROI moves a fashion store can make.

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