Singapore’s retail market faces a brutal truth: Your customers are browsing on their phones, but they often leave your store empty-handed because they don’t know what to buy.
For hair and beauty retailers in Singapore, the challenge isn’t just getting foot traffic—it’s getting decisive foot traffic. How do you stop customers from wandering aimlessly in the aisles and ensure they walk directly to the checkout counter?
The answer is already generating revenue in Hong Kong. Sasa, the iconic beauty giant, partnered with HairCoSys to deploy a “Selfie-to-Sales” Engine. They didn’t just build an e-commerce tool; they built a Personalized Product Generator.
Here is the exact workflow Sasa uses to drive sales—and the questions you need to ask about your own business.
Most online stores are passive catalogs. Sasa’s strategy is active. They invite customers to take a Free AI Hair & Skin Check directly on their website.
When that customer walks into your Singapore store, the “hard sell” disappears.
Sasa Hong Kong is already using this engine to drive traffic and sales. Now it’s your turn.
Don’t let your customers guess what to buy (or worse, leave without buying anything). Give them the medical-grade clarity they crave right on your website.
Transform your e-commerce into a lead-generating machine.
Q1: What is the main challenge Singaporean retailers face regarding customer behavior in-store?
A1: The challenge is a lack of decisiveness. Customers often wander aisles aimlessly and leave empty-handed because they don’t know what to buy. The goal isn’t just getting foot traffic, but generating “decisive foot traffic” where customers arrive knowing exactly what they need.
Q2: How does the Sasa strategy differ from a standard e-commerce website?
A2: Most online stores act as “passive catalogs” that just display items. Sasa’s strategy is “active”—it uses Bloomtastic AI to invite customers to take a free Hair & Skin Check. This transforms the site into a diagnostic tool that scans the user via a selfie and generates a personalized report matched to specific inventory.
Q3: How does a digital report actually drive physical foot traffic?
A3: It creates a “Shopping List Effect.” Instead of generic advice, the AI report identifies the exact products needed to fix the customer’s specific condition (e.g., acne or hairline issues). This gives the customer a mission: they visit the store not to browse, but to “pick up their prescription.”
Q4: Why does this approach eliminate the need for a “hard sell” in the store?
A4: Because the trust is built before the customer even walks in. Since the product recommendation comes from an objective AI diagnosis rather than a salesperson’s pitch, the customer has “medical-grade clarity.” This creates a frictionless buying experience where the customer heads straight for the products recommended on their phone.
