FURNITURE CONFIGURATOR
BOLIA x AKQA
An interactive retail surface where physical NFC-tagged material samples placed on a custom tray drive real-time 3D rendering of furniture configurations on a large in-store display. Eduardo led the concept from technical direction through hardware engineering and full-stack delivery — building a self-contained system that runs without any external infrastructure. A compelling concept that generated strong client interest, though it did not reach production.
OVERVIEW _
The concept is tactile by design: instead of scrolling through swatches on a screen, customers handle physical material samples — fabrics, leathers, woods — each tagged with an NFC chip. Place a combination on the tray, and a large display instantly renders the furniture in those exact materials. The configuration is real-time, physical, and immediate.
The tray runs an embedded ESP32 web server, making the entire system self-contained: no cloud dependency, no network requirement, no infrastructure to maintain in-store. Multiple NFC tags can be read simultaneously, allowing customers to combine upholstery and frame finishes freely. WebGL handles the 3D material rendering on the display.
The concept draws on an existing technical framework developed for phygital retail configuration. It did not reach full production, but generated meaningful client engagement — the prototype demonstrates a technically complete approach that holds up well as a commercial concept.
TECHNOLOGY _
ESP32 + RFID/NFC reader module
C/C++ (Arduino firmware)
JavaScript / HTML / CSS, React / Node.js
WebGL (3D real-time rendering)
3D printing
RELATED PROJECTS _

Style Tiles
RFID-tagged physical material tiles drive real-time chair rendering; QR exports the configuration for in-home AR placement.

Interactive Tray
Physical retail tray identifying products via RFID — rich product info surfaces on an integrated tablet in real time. Piloted across 4 markets.

Digital Memories
Cloud-connected museum experience bridging RFID wristbands to a personal media retrieval portal — first-party data capture from 2% to 39%.