Today’s shoppers don’t just want to buy—they want to be guided. If your retail experience isn’t fast, personal, and intuitive, you’re already losing potential customers. This is especially true in Singapore’s booming eCommerce market, projected to reach US$5.82 billion in 2025 and grow to US$8.30 billion by 2029. With user penetration set to rise from 63.7% to 80.4% and an ARPU of US$1.53k, the stakes for digital customer experience have never been higher.
Yet many online stores still rely on outdated tools—static filters, basic FAQs, and limited live chat—that don’t meet modern consumer expectations. In a tech-savvy, mobile-first market like Singapore, where platforms like TikTok and Instagram drive social commerce, retailers need intelligent support that mirrors in-store interactions.
That’s where VLM Lite makes a difference.
VLM Lite is a no-code, sovereign AI platform that lets retailers deploy intelligent, brand-aligned Voice AI agents across WhatsApp, Instagram, email, and voice calls. These agents go beyond basic support—they offer real-time, natural product discovery conversations that feel personal and intuitive.
They also align with key market trends: growing demand for personalisation, eco-conscious shopping, and culturally relevant experiences. Backed by Singapore’s strategic location, digital infrastructure, and business-friendly policies, retailers using VLM Lite are well-positioned to scale service without sacrificing quality.
In a market defined by rising expectations and intense competition, VLM Lite helps brands convert more customers, boost satisfaction, and thrive in Southeast Asia’s digital economy.
The Challenge: Product Overload and Choice Paralysis
Modern shoppers are overwhelmed by choice. A simple search for a “black dress under $100” can return hundreds of results—causing friction, hesitation, and, ultimately, drop-off.
Key issues retail brands face include:
- High bounce and cart abandonment rates
- Inability to offer real-time style or product advice after hours
- Frustrated shoppers struggling to find the right fit or size
- Limited bandwidth to provide 1:1 support during sales peaks
These lost moments lead to missed revenue opportunities and low customer satisfaction scores.
The Opportunity: Conversational AI That Feels Human
VLM Lite solves this by acting as a virtual personal shopper that never sleeps. Trained on your unique product catalogue, size charts, FAQs, and brand tone, VLM Lite’s AI agents engage customers naturally to:
- Recommend relevant products based on preferences
- Guide them to the right fit or size
- Answer detailed product questions instantly
- Offer bundle suggestions to boost average order value
And all of this happens in real time, 24/7, across any channel your customers use.
Real-Life Use Case: Online Fashion Retail
Imagine a shopper browsing a fashion brand’s website at midnight looking for a party dress. Instead of using filters, she types:
“Looking for something floral, medium size, under $150 for a beach wedding.”
With VLM Lite, the AI responds conversationally:
“Here are three dresses that fit your style and budget. Would you like to see matching shoes or accessories?”
She follows up with:
“I’m not sure about the sizing—does this run large?”
The AI answers:
“That dress tends to run slightly big. We recommend sizing down if you’re in between sizes. Here’s a link to our size guide.”
From discovery to confidence in fit, the customer enjoys a smooth, supportive journey—with no need for a human agent.
Key Features That Make It Possible
- Voice & Chat AI Agents trained on internal documents, product specs, and size charts
- Omnichannel integration with WhatsApp, LINE, Facebook, website chat, and voice
- Multilingual support for global or regional markets
- Enterprise-grade security and observability for safe, governed interactions
- Scalable and easily trainable—add new campaigns, products, or FAQs anytime
Tangible Outcomes for Retailers
Retailers deploying VLM Lite have reported:
- 20–30% higher conversion rates from engaged sessions
- Significant drop in cart abandonment during product discovery
- Improved CSAT and NPS through real-time sizing and style support
- Lower operational costs by reducing dependence on live agents during off-hours
- Consistent brand experience, every hour of the day, across all channels
As one Head of CX at a US-based retailer noted:
“VLM Lite helped us deliver the kind of tailored product guidance that used to be exclusive to in-store staff—only now, it’s available 24/7, without the cost.”
Why VLM Lite is Built for B2C Retail
Unlike legacy chatbots or off-the-shelf LLM tools, VLM Lite was designed from the ground up to serve customer experience workflows. It learns your business inside-out, mirrors your tone, and evolves with your operations.
Whether you’re a boutique label or a multi-brand marketplace, VLM Lite helps you capture intent, guide purchase decisions, and improve satisfaction—at scale.
Take the Next Step
Don’t let another potential sale go cold due to friction in the buyer journey.
Try VLM Lite for Free and experience how AI-trained assistants can help you convert browsers into buyers—all while reducing cost and boosting satisfaction.
