The Platform

More than a visualiser. A guided path from inspiration to specification.

AI·PLIED combines visualisation, product discovery, recommendation logic, feature filtering, real-time costing, specification generation, backend product management and customer insight in one platform.

01Customer-facing
F—01

Room image scan

Upload or scan a room, concept or design image.

F—02

AI surface detection

Identifies surfaces such as walls, cabinets, doors, panels and counters.

F—03

Smart product matching

Recommends materials, finishes and fixtures by room, project type, colour and function.

F—04

Feature customisation

Refine by waterproofing, UV, hygiene, scratch and moisture resistance and more.

F—05

Real-time costing

Live cost from updated per-m² pricing and selected products.

F—06

Specification output

A practical spec sheet with materials, quantities and estimated costs.

02Backend commercial intelligence

The backend gives operators control over what the AI recommends.

Recommendations can be guided not only by customer preferences, but by business goals - so the showroom promotes the right ranges at the right margin.

  • Add new product ranges and update specifications
  • Update per-m² pricing in real time
  • Assign product features and performance attributes
  • Prioritise categories and promote new launches
  • Support campaign pricing and push old stock strategically
  • Weight recommendations toward preferred products
  • Track preferences and analyse popular colours, finishes and textures
03Specification protection

Stronger specifications help protect the sale.

Once materials are selected through AI·PLIED, the output captures product details, surface-by-surface selections, feature requirements, quantities and estimated costs.

This makes it less attractive for contractors to substitute cheaper alternatives, because doing so means reworking the full specification surface by surface, sourcing equivalent materials, recalculating costs, and risking rejection by the customer or designer.

Detailed feature preferences make substitution even harder. If a material was chosen for waterproofing, UV protection, anti-microbial performance or durability, any replacement must match both the appearance and the functional requirements.

04Data & insight

Every interaction becomes useful product and customer intelligence.

Preferences

Preferred colours, textures and product categories, and the features customers select most.

Intent

Room and project types, price sensitivity, new-product interest and old-stock movement potential.

Conversion

What customers explore, compare, customise and save before deciding - and contractor follow-up opportunities.

Over time AI·PLIED becomes a data asset: it helps operators understand not only what customers buy, but what they explore before they decide.