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Case study · Product data

Every stone accounted for: inventory and quoting for fine jewellery.

A UK gemstone jewellery business needed what most product businesses need: one accurate record of what exists, what it's made of, what it costs, and what to quote — instead of photos, memory and scattered notes.

The situation

Gemstones are unforgiving data: carat, cut, clarity, colour, origin, certification, setting, metal, labour. When specs live in heads and photo rolls, quoting is slow, valuations wobble, and stock quietly goes missing from the books.

What we built

From memory to a single record.

01

Structured inventory

Every piece and component catalogued with full specs, photos, provenance and location — searchable in seconds.

02

Spec sheets

Consistent, presentable documentation generated per piece — for customers, insurers and records.

03

Quote logic

Materials + stones + labour + margin rules produce consistent quotes, adjustable case-by-case with the workings visible.

Illustration — representative fields, not a real customer record.

How it flows

Quoting from data, not memory.

Before
  • Specs in heads
  • Photos on a phone
  • Prices re-worked each time
  • Valuations that wobble
After
  • One structured record per piece
  • Image-linked, searchable stock
  • Spec sheet generated on demand
  • Consistent quote from the rules
The numbers

What changes when the data exists.

Quoting from memory → quoting from data
Single source of truth for valuations

Figures are modelled from the mapped workflow (hours × staff cost × automation coverage), consistent with the estimator on our homepage. We publish measured results only once they're measured.

Under the hood
STRUCTURED PRODUCT DATABASE IMAGE-LINKED RECORDS RULE-BASED QUOTING EXPORTABLE DATA

Product business with data in your head? Let's get it into a system.

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