A Bangkok-based online fashion store selling sustainable women’s clothing to urban professionals (25–45). Monthly launches of 200+ new SKUs were slowed by manual photography and editing, with high cart abandonment (28%) and limited personalization.

Challenge

• 7–10 day delay per new range due to traditional shoots
• No virtual try-on → 15% return rate, low mobile engagement (1:45 avg session)
• Scaling content for Shopify, Instagram Shop, and Google feeds became unsustainable

Solution

We used our AI Media Creation service to automate and personalize visuals:

• Headless Model Conversion Client uploads flat-lay images (clothes on table). We segment and pose via Claude 3.5 Sonnet + Gemini 2.0 Flash, then generate photorealistic headless virtual models using Nano Banana API calls. Outputs include multiple poses, lighting, and backgrounds—auto-optimized with alt tags, WebP/AVIF, and Product schema.
• AI Virtual Try-On Integrated Nano Banana real-time API into Shopify. Customers upload selfies or use webcam; system overlays clothing with 95% accuracy across body types/skin tones. Added RAG personalization pulling user history for outfit suggestions and upsells.
• Workflow Multi-LLM ideation (ChatGPT/Kimi/DeepSeek), supplementary assets via Seedream/Flux, short demo videos via Kling 3.0. All human-reviewed in Figma for brand fit.

Timeline

• Week 1: Audit + custom LoRA training on client style
• Weeks 2–3: Nano Banana pipeline + Shopify try-on widget (Claude Code assisted)
• Week 4: A/B launch (AI vs traditional visuals)
• Ongoing: Monthly uploads via MCP CRM

Results

• Content creation time: 7–10 days → 24–48 hours (3× faster launches)
• Session time: +85% (to 3:10 min); cart abandonment: 28% → 12%
• Conversions: +47% overall; try-on users converted 2.8× higher
• Revenue: +32% in Q1 2026; returns down 18%
• Photography costs: -65%
• AI visibility: 25% more organic traffic from Perplexity/ChatGPT citations

Client Feedback

“The AI flat-lay to model conversion is instant magic. Adding try-on cut returns and lifted sales dramatically—perfect for fashion e-commerce.”