WOVE Project Deck

Interior design and furnishing workflows are usually split between measurement files, plan screenshots, moodboards, product links, supplier catalogs, budget spreadsheets, client comments, procurement lists, and final specification exports.

This creates repeated manual work, missed context, unstable budgets, inconsistent product data, weak replacement logic, approval confusion, and slow procurement handoff.

WOVE proposes one project workspace where object data, briefs, budgets, layouts, style direction, products, alternatives, specifications, approvals, and procurement states stay connected.

The platform uses AI to structure inputs, extract product and project data, detect missing information, normalize catalog entries, support product alternatives, and prepare review-ready outputs for designers, clients, studios, and partners.

The core workflow is: Object data -> AI brief -> Budget -> Layout -> Style -> Products -> Alternatives -> Specifications -> Client approval -> Procurement -> Export.

Each stage is intended to preserve structured data, status history, room/category context, user decisions, supplier information, budget impact, and export readiness.

WOVE Home is intended for private users who need guided furnishing and renovation planning. WOVE Pro is intended for independent designers handling multiple client projects. WOVE Studio is intended for teams requiring shared workspaces, roles, client portals, approval control, and procurement visibility.

WOVE Partner Network is intended for brands, suppliers, and catalog owners. WOVE Developer / Real Estate Mode is intended for developers, sales teams, and furnished property scenarios where repeatable packages, apartment types, and commercial furnishing workflows matter.

WOVE focuses on structured project execution rather than only visual ideation. The value proposition combines AI project intelligence, real supplier products, catalog data, budget logic, client approvals, specification generation, and procurement handoff.

The long-term defensibility is expected to come from structured project data, supplier and product normalization, correction loops, approval history, replacement logic, and workflow-specific AI infrastructure.

The planned roadmap includes platform foundation, AI project intelligence, catalog and sourcing ecosystem, studio and procurement layer, proprietary AI/data infrastructure, and international expansion.

Commercial rollout is expected to prioritize product depth, repeatable workflows, designer/studio adoption, partner catalogs, supplier relationships, and revenue layers that can compound inside the same operating system.