neuraliftlabs

COMMERCE PROBLEMS. CONNECTED SOLUTIONS.

Start where complexity creates opportunity.

For marketplaces, recommerce platforms, and retailers with rich product variation, inconsistent listings, and decisions that depend on getting the details right.

01

Marketplaces

Atlas → Prism

Connect the catalog behind the marketplace.

Inconsistent seller titles, missing attributes, and duplicate listings make product understanding harder. Start with a shared identity layer that can support catalog quality, search, and matching.

  • Canonical product identity
  • Attribute normalization
  • Duplicate & variant resolution
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02

Recommerce

Atlas → Prism

Understand the product. Preserve the differences.

The same model is not always the same offer. Bring reference, generation, condition, and transaction context into matching and valuation use cases.

  • Condition-aware product context
  • Relevant comparable sales
  • Pricing decision support
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03

Retailers & brands

Atlas → Reach

Prepare your products for the next discovery channel.

Make product knowledge more consistent across your catalog and feeds. Create structured, interpretable information for AI-powered search and shopping experiences.

  • Product enrichment
  • Structured inventory feeds
  • AI-readiness assessments
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CATEGORY INTELLIGENCE

Every category has
its own complexity.

Watches and luxury fashion show why detailed product knowledge matters: small differences change how products are matched, valued, and discovered.

01 / WATCHES

Small details. Meaningful differences.

References, variants, movements, materials, and condition matter when identifying and comparing products.

Reference · Generation · Specification · Condition
02 / LUXURY FASHION

A richer language for every product.

Models, materials, sizes, colors, and generations shape how designer handbags are understood and compared.

Model · Material · Size · Color · Generation

COMMERCE INTELLIGENCE ACCELERATOR

One category.
One measurable starting point.

A proposed 6–8 week pilot, scoped around your data and one downstream application. Timing and outcomes depend on data readiness and agreed scope.

01

Audit & align

Define the use case, inspect data, and establish baseline quality measures.

02

Structure & resolve

Map the taxonomy, enrich attributes, and evaluate product identity.

03

Activate & demonstrate

Connect an agreed matching or pricing use case to an intelligence interface.

04

Evaluate & plan

Review offline results, the business case, and a potential production roadmap.

Designed for a path beyond the pilot.Implementation is scoped separately from potential ongoing platform licensing and usage.

START WITH ONE MEANINGFUL PROBLEM

What could your commerce
data make possible?

Let’s define the right starting point together.

Discuss a pilot

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