Role in Valnative AI OS for Retail
Support consultative product selection
This is one component of the platform. A working product does not establish that every cross-product handoff or retailer integration is available.
// Consumer shopping advisor
Alvere.
Live betaA trust-first shopping advisor that walks a shopper from uncertainty to a confident purchase decision — no dark patterns, no fake urgency.
Inputs and outputs
Inputs: Customer requirements and merchant catalog information.
Outputs: A guided product-selection conversation; the current focus is beauty.
Problem & who it’s for
E-commerce optimizes for the click, not the decision. Shoppers facing considered purchases get manipulation — urgency timers, fake scarcity — instead of an honest consultation.
Offer & core workflow
Alvere runs a nine-stage consultative methodology with guardrails as code: off-ramps respected, uncertainty acknowledged, recommendations evidence-backed. Delivered as a web widget and Telegram bot on AgraPlace rails.
What exists now
- Live beta at alvere.ru — web widget and Telegram.
- Nine-stage advisor core, gated by an internal eval suite before releases.
- Versioned API boundary to AgraPlace catalog/retrieval rails.
Next milestones
- Validate conversion and merchant economics with design partners.
- Scaling beyond the current vertical set.
Connections in the platform
Directional value exchanges with explicit implementation status, separating current capability from the roadmap.
- AgraPlace ↔ Alvere — catalog and retrieval rails (versioned API boundary). Implemented
- Alvere → RoomCraft — the advisor core transferred to a second vertical. Implemented
Talk to us about Alvere.
Bring the workflow, data and systems you have in mind. We can discuss current availability, an appropriate demonstration and the work needed to assess a fit.
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