
Parametric / Part Search
Engineers select by attributes, not by category tree.
MarketPush brings product data, specifications, taxonomy, attributes, media, and supporting content into one structured system, giving your team a more efficient way to manage large, technical catalogs and deliver consistent product information across your digital experiences.
Built to support catalogs with hundreds of thousands, or millions, of technical products.

Someone in your organisation exports three thousand SKUs into a spreadsheet to update descriptions for a datasheet release, and it takes most of a morning. Someone else discovers that a capacitor does not appear under its own capacitance because the unit format in the database is uF and the customer searched 1µF. A third person resizes three images by hand because the portal rejected them.
None of this is a technology problem in the interesting sense. It is a governance problem that a content CMS cannot solve because it has no concept of a product attribute — only of a page with text on it. A PIM gives those values a home, a type, a unit and an owner.
Build category hierarchies and define the attributes that matter to each product type, creating a consistent structure for even highly technical catalogs.
Import and manage large product catalogs without relying on individual product maintenance. Bulk tools make it easier to update product information across large data sets.
Bring product information into MarketPush from spreadsheets, supplier files, ERP exports, APIs, and other data sources using workflows designed for large catalogs.
Use AI tools to help generate, enhance, and standardize product information while keeping your team in control of the final result.
Manage the images, datasheets, technical documents, and other assets customers need alongside the products they belong to.
Maintain product information in one platform so your website, search experience, marketplace, and other connected commerce experiences can work from consistent product data.
MarketPush PIM helps teams manage complex product data at scale, with the controls needed to keep catalogs accurate, searchable, and easy to maintain. Here is a practical view of how the platform supports growth.
Dimension | Standard | Notes |
|---|---|---|
SKU count | 750K+ with automated enrichment | Above this, catalog size steps up hosting cost. It is not a capability limit. |
Attributes per part | No practical cap | Attribute density is a better fit signal than SKU count. |
Bulk operations | Whole-catalog, with previewed change sets | Change sets are reversible before commit. |
Source systems | ERP, spreadsheet, supplier feed, manual | Precedence per attribute, so the ERP can win on price while your team wins on description. |
Localisation | Per-attribute, per-locale values | Units and number formats follow the locale, not just the label text. |

Engineers select by attributes, not by category tree.

Product specs laid out so engineers and AI assistants can both read them.

Live distributor pricing and availability, on the page.
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