Merchants — a HueIQ surface

See the decision, not just the receipt.

HueIQ turns every session into decision data your POS can't capture — what was considered, tried, rejected and almost bought, from the feed at home to the mirror on your floor.

Request a demo ↗

Nova6 merchant dashboard and Aura app pairing with a smart mirror

How every metric is measured

Nova6 reports against a holdout group in your own store. No modelled uplift, no vendor-supplied benchmarks presented as your results.

→Randomised holdout: shoppers with and without Nova6 sessions, compared on the same floor and period.
→Conversion, average order value, and units per transaction tracked through your POS, not our SDK alone.
→Return rate measured on Nova6-assisted orders versus baseline over a matched return window.
→Raw event data exportable to your BI stack so your analysts can reproduce every figure.

Founding partner pilots

We are onboarding a limited group of founding retail partners for Mirror V1. Partner names are published only once each brand approves the reference.

→One flagship location, one Aura Mirror, one catalog feed — scoped in under 90 days.
→Success criteria agreed in writing before launch, with a defined exit if they are not met.
→Weekly readouts with your merchandising, digital, and store operations leads.
→Reference rights, case studies, and logo usage negotiated separately — never assumed.

Figures cited elsewhere on this site are published industry benchmarks describing the problem space, not Nova6 customer results. Nova6 performance claims will be published only from instrumented pilot data.

Integrations

Shopify first. Anything else, on your terms.

Nova6 sits on top of the stack you already run. One catalog model, many sources — so styling, fit and inventory intelligence work the same whether your products live in Shopify, an enterprise commerce platform, or a warehouse table.

Shopify

Native app

Install once and Nova6 syncs products, variants, options, media, inventory levels and price rules through the Admin and Storefront APIs. Orders and returns flow back so lift is measured on real transactions.

Commerce platforms

Salesforce · SAP · commercetools · Magento

Prebuilt connectors for enterprise commerce and OMS stacks, mapped to the same internal catalog model as Shopify so nothing is bespoke downstream.

POS & ERP

Store systems

Lightspeed, Square, Oracle Retail and ERP inventory feeds keep floor-level stock truthful, so the mirror never styles a garment the store cannot hand over.

Custom sources

Feed · API · warehouse

CSV/XML feeds over SFTP, a REST or GraphQL endpoint, webhooks, or a direct read from Snowflake, BigQuery or Databricks. Field-level mapping and transforms handled in configuration, not code.

Catalog integration & generation

A messy feed becomes a wearable catalog.

Ingest & normalise

Sizes, colours, materials and taxonomies from every source reconciled into one schema, with duplicate and variant collapsing.

Enrich & generate

Missing attributes inferred from imagery and copy: silhouette, fit, fabric behaviour, occasion, colour family — plus generated descriptions and alt text in your brand voice.

Garment digitisation

Flat product photography converted into drapeable 3D garments with true measurements, ready to render on a shopper's digital twin.

Continuous sync

Webhook and delta sync keep stock, price and new drops current within minutes, with a validation report on every run.

Commerce intelligence

Every try-on is a merchandising decision waiting to happen.

Recommendation insight

See which picks are surfaced, which convert, and why: complete-the-look, visually similar, and size-corrected alternatives ranked with the reason each item was chosen.

→Attach rate by strategy
→Reason codes per surfaced item
→Holdout-tested ranking changes

Inventory intelligence

Try-on demand mapped against on-hand stock so you can move units before markdown — and stop promoting the sizes that are about to sell out.

→Size-curve demand vs stock
→Lost-sale signals from out-of-stock try-ons
→Store-level transfer suggestions

Shopper insight

Anonymised, consented body and preference cohorts show who is actually in your stores and how their fit needs differ from your buying assumptions.

→Fit-cohort clustering
→Style affinity by segment
→Journey drop-off from discover to bag

Assortment signal

Dwell, try-on and rejection data become a merchandising brief: what to reorder, re-photograph, re-size, or drop next season.

→Try-on-to-buy conversion by SKU
→Rejection reasons at scale
→Colour and fabric demand shifts

Business model

We win when the retailer wins.

Hardware, install & assets

A one-time cost covering the mirror hardware, installation, deployment of the digital garment assets your catalog needs, and tailored configuration of the HueIQ engine to your assortment.

Onboarding & training

Nova6 trains your store teams so the mirror fits your customer journey rather than sitting beside it — the difference between a novelty and a selling tool.

A percentage of sales

The primary revenue stream is a share of sales generated through the mirror. Incentives stay aligned with your performance. No recurring monthly subscription in the current model.

Real-time inventory via API

The Nova6 interface connects to your API for live inventory visibility, so availability is accurate and fulfilment can happen within seconds of purchase.

The mirror is the gateway to a retail intelligence platform.

Long term, Nova6 consolidates the systems you already run — commerce, inventory, POS and ERP — into a single ecosystem retailers rely on daily to make data-driven decisions.

→Real-time inventory tracking across every location and channel.
→Automated accounting insight and sales forecasting from one ecosystem.
→Social and fashion trend analysis so buying stays ahead of demand.
→Predictive insight into future demand, margin and profitability.

Pilot timeline

Thirteen weeks from feed to a decision you can defend.

Week 1–2

Catalog ingestion

Product feed, inventory and pricing sync, imagery normalisation.

Week 3–5

Install & calibration

Mirror mounted in the flagship, sensors calibrated to the floor.

Week 6–10

Live pilot

Holdout running, weekly readouts, styling models tuned to your assortment.

Week 11–13

Readout & decision

Instrumented results against agreed criteria, raw events exported.

FAQ

Questions retailers ask about Nova6.

Which platforms can Nova6 connect to?+

Shopify has a native app with two-way product, inventory and order sync. Salesforce Commerce Cloud, SAP, commercetools, Magento, and major POS/ERP systems have prebuilt connectors, and anything else can arrive as a feed, API, webhook, or warehouse read.

How does Nova6 charge?+

An initial cost covers hardware, installation, digital asset deployment and HueIQ configuration, plus onboarding and training. After that the primary revenue stream is a percentage of sales generated through the mirror — there are no recurring monthly fees in the current model. A subscription option may be introduced later.

Can Nova6 connect to our existing product catalog and POS?+

Yes. Nova6 ingests a standard product feed and syncs inventory, pricing, and imagery, so recommendations only surface items the store can actually sell today.

How does Nova6 reduce returns?+

Most apparel returns happen because of fit and expectation gaps. AR fit match and AI size guidance let shoppers see the item on themselves before buying, which lifts confidence at the point of purchase.

What personalization does Nova6 provide?+

Personalized picks from browsing and try-on history, trending items across the store, visually similar products, and complete-the-look outfit bundles that drive upsell and cross-sell.

How do retailers get started?+

Request a demo and our team scopes a pilot: catalog ingestion, one Aura Mirror install, and a founding-partner analytics dashboard covering conversion, AR engagement, and try-on lift.

Do you work with enterprise and luxury retail groups?+

Yes. Enterprise and flagship deployments follow a separate track covering security review, data-processing agreements, catalog and POS integration architecture, and a scoped flagship pilot.