How to integrate Fynd GlamAR’s AI skin analysis easily on Shopify or any other platform

Adding AI skin diagnostics to an existing storefront is simpler than most teams expect. Fynd GlamAR's AI Skin Analysis engine is designed to easily connect to platforms already in use, like Shopify, where GlamAR's AI Face Skin Analysis app is already live, using a simple SDK/API integration. This requires no custom development from Fynd's side.

Suntech's work with Fynd GlamAR shows how easy this can be in real life.

What Glow Skin Scan is built on

Suntech Information Technologies offers Glow Skin Scan, an AI-powered skin diagnostics product. It uses Fynd GlamAR’s AI Skin Analysis engine, trained on over 3.5 million data points and optimised specifically for Asian skin tones.

Suntech integrated this engine into their Glow Skin Scan product. Fynd did not do any custom development. Suntech handled the integration, designed how it fits their platform and created the full user experience, while Fynd GlamAR provides the diagnostic technology behind it.

What the AI Skin Analysis engine delivers

Once integrated, every scan run through Glow Skin Scan draws on the following from Fynd GlamAR:

• 14-point facial skin concern analysis covering dark circles, pores, hydration, acne, post-acne marks, pigmentation, wrinkles, eye bags, whiteheads, skin tone, skin age and more. This is a detailed, point-by-point breakdown rather than a single generic result, so a user gets a specific read on each area of concern rather than one broad label.

• An overall skin health score, with severity grading for each individual concern. Alongside the single score, each of the 14 points carries its own severity grading, so users can see not just that something is a concern but also how significant it currently is.

• Skin Journey, which compares a user's current skin state against a projected post-treatment outcome, shown as both a 3-month and a 6-month view. This turns a one-time scan into something with a forward-looking element, giving users a sense of where their skin could be headed rather than just where it stands today.

• API documentation, integration support and onboarding assistance from Fynd's team, which is what allowed Suntech to build and launch the integration on their own timeline.

• Cloud infrastructure, uptime and API reliability for the contracted scan volume so the diagnostics layer keeps working reliably as scan volume moves through the platform.

What this meant for Suntech

Suntech's experience is a useful reference point for what this actually looks like in practice.

• No AI model to train - Suntech plugged into an engine that was already built and already accurate for the skin tones its customers have, instead of spending time and resources training its own.

• No infrastructure to stand up - server hosting, uptime and reliability were already handled, so Suntech did not need to build any of that itself.

• Full control over its own product - Suntech's team focused on what it does best: building the Glow Skin Scan experience and the integration around it, on its own timeline, using Fynd's documentation and onboarding support to get there.

• Diagnostics that did not need reinventing - the 14-point analysis, the health score and the Skin Journey projections came ready-made, so Suntech did not have to build any of it from scratch.

• Focus stayed on the brand - Suntech got to spend its energy on the parts of Glow Skin Scan that are actually theirs: the brand, the experience and the customers it serves.

Any other company or agency looking to add AI skin diagnostics to a platform they already run on Shopify or elsewhere can follow the same path.

How the integration actually works

Suntech's experience shows what this looks like in real life.

• No AI model to train: Suntech used an existing engine that was already accurate for its customers’ skin tones, saving time and resources. 

• No infrastructure setup: server hosting, uptime, and reliability were already managed, so Suntech did not have to build any of that. 

• Full control over its product: Suntech focused on creating the Glow Skin Scan experience and its integration, working on its own schedule with help from Fynd’s guides and support. 

• Ready-made diagnostics: the 14-point analysis, health score and Skin Journey projections were included, so Suntech did not have to start from scratch. 

• Focus stayed on the brand: Suntech concentrated on what matters most: the brand, experience and customers. 

Other companies or agencies wanting to add AI skin diagnostics to platforms like Shopify can use the same approach. 

The takeaway

Suntech did not have to build a skin diagnostics engine to offer one. 

By partnering with Fynd GlamAR’s API to Glow Skin Scan, they provide customers with a detailed face scan, including a 14-point skin analysis, health score and skin journey powered by an expert engine and backed by Fynd’s support. This option is open to any company or agency on Shopify or other platforms.

Want to bring AI-powered skin, beauty or wellness diagnostics into your own platform? 

Book a demo with Fynd GlamAR