Visual surface recognition
Analyses room images and identifies relevant surfaces for material application.
Technology
Multimodal AI, structured product data and commercial logic—working as one system.
AI·PLIED combines visual understanding with an editable surface workflow, product retrieval, recommendation rules, live pricing and structured specification output.
01AI capability layer
AI—01
AI—02
Editable surface mapping
Turns detected areas into adjustable regions so users can correct boundaries before materials are applied.
AI—03
Material visualisation
Applies selected finishes to mapped surfaces while preserving the wider room context.
AI—04
Product data retrieval
Searches structured product data for specifications, attributes, pricing and suitable alternatives.
AI—05
Recommendation logic
Matches products to room type, visual direction, performance needs and operator-defined commercial priorities.
AI—06
Feature-based filtering
Refines recommendations by durability, hygiene, moisture resistance, UV protection and other technical requirements.
AI—07
Specification generation
Produces structured project summaries containing selected materials, features, quantities and costs.
AI—08
Usage intelligence
Aggregated interaction data reveals product interest, preference patterns and opportunities to improve recommendations.
02How the system is structured
AI handles interpretation. Structured systems protect the commercial output.
The visual and recommendation layers work with a controlled product database, operator-defined rules and deterministic costing. This keeps the experience flexible without asking a generative model to invent prices, specifications or product availability.
- Multimodal analysis interprets the uploaded room image
- Users can review and adjust detected surface boundaries
- Product recommendations come from structured catalogue data
- Commercial weighting can prioritise selected ranges or stock
- Pricing calculations remain deterministic and auditable
- Specifications are assembled from confirmed selections
- Human review remains part of the customer journey
03Why the approach matters
A practical AI workflow designed around real showroom decisions.
AI·PLIED uses AI where interpretation and personalisation add value, while keeping product truth, pricing and final selections grounded in controlled data.
Correctable
Surface boundaries can be adjusted rather than treating the first AI output as final.
Commercially controlled
Operators manage products, attributes, prices and recommendation priorities.
Auditable
Cost and specification logic remains separate from generative visualisation.
Customer-facing
The AI supports a visible, guided decision rather than remaining an internal tool.
Data-informed
Interactions create insight into what customers explore before they decide.
Repeatable
The model can extend to other showrooms and specification-led product categories.