Canonical: https://hypler.com/projects/izios-diamond-platform IZIOS inventory operations, October 5, 2026. Product data / Search / API infrastructure # IZIOS The systems behind a searchable market. Hypler developed IZIOS as connected product infrastructure: supplier ingestion, a normalized diamond catalog, search, reusable APIs, and the workflows that carry discovery into commerce. [Visit IZIOS](https://izios.com/)[Inside the platform](https://hypler.com/projects/izios-diamond-platform#platform-scope) Interface evidence ## Inside the product. Documented product captures, not live inventory. Features, availability, and listing values evolve. ![IZIOS inventory operations, October 5, 2026; supplier search text and admin email blurred for privacy.](https://hypler.com/assets/izios-inventory-2026-10-05-redacted.webp) ### Inventory operations Inventory, imports, holds, archived records, filtering, and operational review in one administrative surface. - Active and archived inventory scope - Import and availability controls - Commerce and intelligence navigation IZIOS inventory operations, October 5, 2026. The engineering problem ## One product experience. Many systems underneath. Supplier feeds do not arrive as one clean, stable catalog. Specifications, identifiers, availability, certificates, and media need a shared structure before they can support useful search or a dependable API. The work spans the frontend and the backend: translating inventory into product records, keeping changes synchronized, exposing retrieval interfaces, and connecting them to customer and administrative workflows. A June 2026 project record documented more than 1.8 million active and archived records across the platform's catalog history. Platform scope ## From supplier records to operating systems. ### Supplier ingestion and synchronization Normalize inventory from different suppliers into a consistent catalog. Incremental synchronization and checksum-based change detection limit unnecessary reprocessing while preserving source identity and update context. ### Catalog, retrieval, and product evidence PostgreSQL-backed product records connect specifications, certificates, availability, and listing evidence. Structured filters and pgvector-backed semantic retrieval serve distinct discovery needs with source records kept visible. ### APIs and connected commerce Reusable diamond data APIs support integrations beyond the primary storefront. Customer, cart, hold, and payment workflows retain separate responsibilities from discovery through transaction. ### Administrative and source-health surfaces Source-health interfaces and administrative review connect the public product to the systems behind it. Operators need to distinguish supplier changes, ingestion failures, incomplete evidence, and customer-facing outcomes. Technology reference ## IZIOS implementation choices IZIOS processes supplier inputs into normalized records, combines structured filters with vector retrieval, serves product data through APIs, and keeps commerce transactions separate from availability truth. - Supplier ingestion → - Normalized records → - Structured filters and vector retrieval → - APIs → - Commerce transactions These are documented implementation choices. Supplier availability remains source-controlled; compile-time contracts and runtime validation serve different checks. ![React logo](https://hypler.com/assets/technology/react.svg) [React](https://react.dev/) Client interface Builds reusable customer and administrative interface components. Why here: Keeps discovery, operations, and review surfaces composed from shared UI parts. [React in glossary](https://hypler.com/glossary#react)[Related guide](https://hypler.com/wiki/software-architecture) ![TypeScript logo](https://hypler.com/assets/technology/typescript.svg) [TypeScript](https://www.typescriptlang.org/docs/) Application contracts Adds compile-time types to client and server code. Why here: Makes data shapes and interface changes easier to inspect before runtime. [TypeScript in glossary](https://hypler.com/glossary#typescript)[Related guide](https://hypler.com/wiki/typescript-contracts-interfaces) ![Node.js logo](https://hypler.com/assets/technology/nodejs.svg) [Node.js](https://nodejs.org/en/learn) Server runtime Runs the API and supporting application services. Why here: Keeps server-side processing separate from the browser interface. [Node.js in glossary](https://hypler.com/glossary#nodejs)[Related guide](https://hypler.com/wiki/api-event-contracts) ![Express logo](https://hypler.com/assets/technology/express.svg) [Express](https://expressjs.com/) HTTP API Routes product, account, and operational requests through server middleware. Why here: Provides a defined API boundary for connected clients and workflows. [Express in glossary](https://hypler.com/glossary#express)[Related guide](https://hypler.com/wiki/api-event-contracts) ![PostgreSQL logo](https://hypler.com/assets/technology/postgresql.svg) [PostgreSQL](https://www.postgresql.org/docs/) Relational records Stores durable catalog, workflow, and transaction records. Why here: Supports joins, constraints, and transactional changes where product data must stay reviewable. [PostgreSQL in glossary](https://hypler.com/glossary#postgresql)[Related guide](https://hypler.com/wiki/sql-durability-audit) ![PostgreSQL logo](https://hypler.com/assets/technology/postgresql.svg) [pgvector](https://github.com/pgvector/pgvector) Vector retrieval Stores embeddings with relational records and compares vectors by similarity. Why here: Supports broader-intent discovery while structured filters keep exact constraints explicit. [pgvector in glossary](https://hypler.com/glossary#pgvector)[Related guide](https://hypler.com/wiki/retrieval-source-quality) ![Vite logo](https://hypler.com/assets/technology/vite.svg) [Vite](https://vite.dev/guide/) Frontend build Builds and serves the web application during development. Why here: Keeps the client build path fast and explicit. [Vite in glossary](https://hypler.com/glossary#vite)[Related guide](https://hypler.com/wiki/software-architecture) SI with a defined role ## Structured discovery. Source records remain visible. Diamond Scout and AI-assisted search turn a person's criteria into a discovery workflow. Structured filters apply exact constraints; semantic retrieval supports broader intent. LightScore analyzes certificate and listing information. Physical optical performance requires measured evidence. Product records keep availability and source evidence available for review. [The source-aware data pattern](https://hypler.com/technical-library/source-aware-data-systems) What the work demonstrates ## Data, search, and transaction boundaries. The platform connects ingestion, data contracts, search, API consumers, operational visibility, and transaction boundaries. Each interface keeps its input, output, and operating role clear. [Discuss your platform](https://hypler.com/contact)