The product data layer between your commerce stack and every channel

FeedOps is a fully managed product feed management and optimisation service delivered through our proprietary platform. Your authorised users receive access for visibility, collaboration and approvals, while our team owns day-to-day feed configuration, monitoring and optimisation.

FeedOps supports native ecommerce connectors, XML, CSV and TSV files, SFTP, existing feed URLs, supplier feeds and bespoke REST or GraphQL integrations. We can combine ecommerce, ERP, PIM, inventory and other sources into a unified product-data layer.

Yes. FeedOps can ingest, map and merge data from ecommerce platforms, ERP and PIM systems, supplier feeds, pricing sources, inventory systems and custom databases. Products are matched using agreed identifiers, with defined source precedence, normalisation and conflict-resolution rules.

No. Your existing systems remain the authoritative sources for product, price, inventory, order and fulfilment data. FeedOps sits between those systems and your advertising, marketplace, social and AI-shopping destinations to map, improve and distribute channel-ready data.

Yes. FeedOps can clean unstructured text and HTML, then use rules and category-specific AI agents to identify attributes such as colour, material, dimensions and product type. Computer vision can identify visible attributes or extract text from product imagery, packaging and specification documents, with generated values reviewed before use.

Yes. FeedOps manages product information at the individual sellable-SKU level and can build channel-ready structures for variants, product families, sets, bundles and configurations. Managed templates can make distinguishing attributes such as size, colour, material, orientation or pack quantity clear in each title.

Catalogue attributes can run on an agreed scheduled cadence. Where the source platform and destination support it, price and availability can update in real time or on change and are typically processed and submitted within five minutes. Final visibility also depends on the destination platform’s processing time.

We use deterministic mappings and rules first for repeatable transformations. Customer-specific AI agents are used for gaps that rules cannot reliably solve, such as attribute extraction, categorisation and natural-language title improvements. Changes can be reviewed, approved, tested and measured before wider deployment.

No. Customer data is not used by FeedOps or its third-party AI providers to train public or shared models. Customer-specific data, prompts, outputs and brand learnings remain isolated, and the customer retains ownership of its underlying data and generated content.

FeedOps performs pre-flight validation for required attributes, permitted values, character limits, identifiers, price and availability consistency, formatting and channel eligibility. Safe issues can be normalised automatically; unresolved products can be flagged, held or excluded without stopping valid products from processing. The managed team monitors and prioritises disapprovals by scale and commercial impact.

FeedOps supports 28 destinations across advertising, marketplaces, affiliates and AI shopping, including Google, Microsoft, Meta, TikTok, Pinterest, Amazon, eBay, Criteo, Rakuten and ChatGPT. Bespoke destination feeds and new integrations can be scoped when required.

Yes. FeedOps can ingest supplier catalogues, assess and map incoming fields, normalise terminology and taxonomy, identify missing attributes, apply supplier-specific transformations and create consistent downstream outputs. Custom supplier, ERP, OMS or dropship integrations are scoped separately where required.

Yes. FeedOps supports Google and Microsoft local inventory feed structures, including store-level inventory, local availability, location-specific pricing and pickup information. The implementation depends on the retailer’s locations, source data and relevant channel requirements.

Initial implementation and validation typically takes two to four weeks, subject to technical discovery, access, source-data complexity, channel scope and stakeholder approvals. Connections, mappings, rules and outputs are validated in staging before production cutover.

Yes. FeedOps can turn audit findings, Ask FeedOps AI analysis or customer and agency ideas into a defined hypothesis, control group, test cohort and measurement framework. Measures can include impressions, clicks, CTR, visibility, approval rate, conversions, revenue and ROAS. Successful changes can then be scaled across the catalogue.

A dedicated Account Manager is supported by Feed Management and engineering specialists. Standard support provides an initial response within four business hours and targets resolution within two business days when the issue is within FeedOps’ control. Custom SLAs and dedicated communication channels are available for enterprise requirements.

Yes. FeedOps operates as the specialist product-data layer alongside paid media, SEO and social agencies. Agency teams can request custom labels, promotion IDs, product groups, feed segmentation and channel-specific transformations without taking over feed operations.

FeedOps supports unlimited authorised customer and agency users with role-based access control. Users can collaborate, review and approve changes through authenticated accounts. Relevant audit logs are maintained and can be retrieved by the FeedOps team through a support request.

Yes, as an optional capability. FeedOps can transfer marketplace orders to supported ecommerce systems and return tracking or shipping information to the marketplace. Your OMS, warehouse and fulfilment systems continue to own order routing and physical fulfilment.

Standard FeedOps hosting stores and processes customer data in Australia. Data is encrypted in transit and at rest, protected by access controls and role-based permissions, and supported by monitoring, backups and recovery procedures. FeedOps also maintains PCI DSS validation through the applicable SAQ process and Amazon Selling Partner API compliance reviews.

Yes. As of August 2026, FeedOps manages more than 12 million SKUs across 590 active catalogues and more than 2,000 outbound feeds. The largest individual catalogue contains approximately 2.5 million SKUs. Automated ingestion, rules, bulk processing, auditing and targeted AI enrichment allow the platform to operate at this scale.

FeedOps generally combines the platform and fully managed service within a fixed monthly fee under an annual agreement. Pricing depends on catalogue size and complexity, channels and markets, source integrations, synchronisation frequency, AI programs, marketplace requirements, bespoke development, reporting and SLA requirements. Standard onboarding is ordinarily included unless non-standard development is required.