Product data, finally under control
Koda Technology builds custom Product Information Management (PIM) solutions for businesses across New Zealand and Australia managing large, complex or fast-changing product ranges.
We've built PIM systems for automotive parts and fitment data, trade and distribution catalogues, and multi-brand product ranges, centralising product data into a single, structured system that feeds your website, B2B portal, marketplaces and internal tools consistently, so a product only needs to be updated once.
Whether your data currently lives across a dozen spreadsheets or a supplier feed nobody fully trusts, we build the data structure and workflow around how your specific products, categories and specifications actually work, not a rigid off-the-shelf template.

/ Platform capabilities
Product Data Modelling
- Structured attributes for technical specifications, categories and variants
- Fitment and compatibility logic for automotive and technical product ranges
- Multi-brand and multi-supplier product structures
Multi-Channel Publishing
- Single update published consistently to website, portal and marketplaces
- Channel-specific formatting and content rules
- Scheduled and staged publishing for seasonal catalogues
Marketplace and channel connection
- Google Shopping · Google Merchant Centre · third-party marketplaces
Data Quality & Enrichment
- Bulk import, export and enrichment tools for large ranges
- Validation rules to catch incomplete or inconsistent data before it publishes
- Image, document and video attachment management per product
Supplier & ERP Integration
- Automated ingestion of supplier data feeds
- Two-way sync with ERP for stock and pricing accuracy
- Change tracking so updates can be audited, not just overwritten
/ Built for B2B and B2C
Automotive Fitment Data
Structured fitment logic connecting parts to vehicle makes, models and years, so customers reliably find the right product.
Trade & Distribution Catalogues
Technical specifications and tiered pricing structures for large wholesale and trade product ranges.
Multi-Channel Publishing
Consistent product data published across your website, B2B portal and any connected marketplace, from a single source.
/ FAQ
An ERP is built to manage inventory, stock levels and financial transactions, and it usually does that well. It's rarely built to hold the rich descriptive content, technical specifications, images and fitment data your website and customers need. A PIM sits alongside your ERP, purpose-built for that descriptive layer, and the two typically stay in sync rather than compete.
There's no fixed number, but it's less about volume and more about complexity. A business with 500 products across multiple brands, fitment rules and sales channels often needs a PIM more urgently than a business with 5,000 simple, single-channel products. If updating one product currently means editing it in three or four places, that's usually the clearer signal.
This is exactly what structured data governance is for. A well-built PIM tracks the source of each data point, so a supplier feed update flows through automatically, and any manual overrides your team has made are flagged for review rather than silently overwritten.
Yes, though it needs to be planned for in the data model. Made-to-order, configurable or bundled products are usually handled as their own product type within the PIM, with rules for how their variable attributes get generated or selected at the point of sale.
Validation rules at the point of entry or import are the main tool here, catching missing fields, inconsistent formatting or values outside expected ranges before they ever reach your published channels. It's far cheaper to reject bad data at the door than to find it live on your website months later.
It works alongside it. Your CMS still manages page layout, marketing content and site structure, but it pulls product data from the PIM rather than storing duplicate copies of it. This is what allows one product update to flow through to every channel automatically.
This is usually the most time-consuming part of a PIM project, and it's worth budgeting properly for. It typically involves auditing what data actually exists, deciding on a standard structure, cleaning and mapping the existing data into it, and validating the result before anything goes live. We treat this as its own phase rather than an afterthought.
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