
AI Blinds Visualization via WhatsApp
Customer sends a window photo, AI returns a visualization with the selected product. Multi-tenant solution for a retailer network.

Westlogic / FOA
Project client
Challenge
A network of blinds and shades retailers needed a way to show customers how a product would look on their actual window — before purchase. The existing process? Customer picks a product from the catalog, orders a sample, waits a week, then decides. Conversion rates were low and sample return rates were high.
Goal: customer takes a phone photo of their window, gets a visualization with the selected product within a minute, plus a link to the configurator.
Solution
We built a WhatsApp chatbot with AI visualization that works as a self-service tool for the entire retailer network:
- Customer scans a QR code at the store or on the retailer’s e-shop
- Sends a window photo via WhatsApp — no app install, no registration
- AI generates a visualization — GPT-Image model processes the photo and places the selected product directly on the customer’s window
- Result arrives back in WhatsApp with a link to the configurator and pricing
The entire system is multi-tenant — each retailer has their own branding, product catalog (synced from Shoptet), and visual workflow. Administrators have access to a dashboard with conversion overview, lead scoring, and daily limits.
The conversation workflow is fully configurable through a visual drag-and-drop node editor — retailers can customize the communication flow without developer involvement.
Results
- Under 60 seconds from photo submission to finished visualization
- Zero entry barrier — WhatsApp has 95% penetration, no installation needed
- Multi-tenant architecture — one solution for the entire retailer network
- Automatic catalog sync from e-shop (XML feed, weekly updates)
- Visual workflow editor — retailers configure conversation flow themselves
- Lead scoring and reports — overview of most active customers and conversion rates
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