Sell-in and sell-out data
Reconcile wholesale and boutique performance, ecommerce, and partner feeds. Trace every metric back to source systems, season, and SKU provenance.
Your House already knows excellence; give it architecture to see every signal at once.
Nivara connects sell-in, sell-out, planning, and sentiment into one operating layer - so your teams act with provenance, not guesswork, across every market and channel.

Private foundation

Core Concept
A controlled layer that unifies commercial, creative, and operational signals. Built for omnichannel luxury experience, VIC management, and knowledge graph retail - without exporting your brand or client data.
Reconcile wholesale and boutique performance, ecommerce, and partner feeds. Trace every metric back to source systems, season, and SKU provenance.
Run Open-to-Buy (OTB) planning scenarios by market, channel, and drop. Test constraints before commitments; align Fashion Inventory AI with merchandising intent.
Monitor press, social, resale, and client feedback signals. Separate noise from directional shifts, with confidence scores and documented assumptions for creative and commercial review.
Capture corporate memory: campaigns, line plans, and outcomes. Build a knowledge graph retail layer so teams query precedent, not recollection.
It explains signals, trade-offs, and uncertainty. Creative directors and merchandising leaders set direction, approve choices, and own the narrative.

Decision domains
Domain 1
Domain 2
Domain 3
Craft and control
Transparent reasoning, full auditability, and Luxury Brand Data Sovereignty.
Your House controls access, retention, and model behaviour through:
Every recommendation links to inputs, methods, and uncertainty ranges. Teams can challenge assumptions before action.
Configure approval gates, thresholds, and exception handling. The system proposes; your Maison signs off.
Record prompts, sources, and decision trails. Support governance, regulators, and external assurance without reconstructing history.
Keep data in-region tenancy, per House standards; apply encryption, access controls, and retention.
Augmented judgement
Move from fragmented reports to coherent foresight. Well-instrumented Houses typically target 15-20% margin refinement and 25% stock rotation improvement, with provenance and governance throughout.
01
Combine retail, wholesale, media, and Luxury Retail AI Clienteling signals into one view. Resolve contradictions, annotate provenance, and share decisions across teams.
02
Model demand shifts, supply constraints, and price moves ahead of season. Set anticipatory thresholds to decide interventions, not chase them.
03
Align merchandising, allocation, and marketing around one governed plan. Protect equity through scarcity-aware positioning, while improving rotation and margin without eroding craft.
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