1. [Home]() 2. [Use cases]() 3. Supplier data to product records [Catalog & product information]() # Turn supplier files into publish-ready product records. New products wait while teams rekey inconsistent supplier information. Trigger New supplier files or a new product range arrives. A product-intake review Illustrative example Source field Mapped value Review status Supplier style code Mapped to existing jacket family Identity confirmed Fabric composition Present in approved specification Ready for destination Waterproof claim No supporting source Supplier evidence required **What you get**Structured product records with source references and exceptions to resolve. [Discuss this use case]() [How it works]() Led by operators with 15+ years building commerce products, teams and systems. [About us]() ## Today Catalog staff copy product facts from inconsistent spreadsheets and documents, then chase missing fields during review. ## With this in place Mapped product records retain their source, pass destination checks and send unresolved facts to a clear review queue. ## Who does what, step by step. ### Your team Product-data owners resolve missing facts and approve claims and changes before publication. ### AI AI maps varied supplier descriptions into proposed fields and flags ambiguous or conflicting information. ### Automation Validation rules check required fields, identifiers and allowed values before approved records are written to the catalog. 01 02 03 04 1. 01 Step 1: AI ### Read and retain sources Collect representative formats and preserve the origin of extracted facts. 2. 02 Step 2: AI ### Map product records Resolve identifiers, variants, units and destination attributes. 3. 03 Step 3: Automation ### Validate and route gaps Check required fields, conflicting facts and unsupported claims; assign source follow-up. 4. 04 Step 4: Your team ### Approve and publish Write reviewed records to selected destinations and verify the resulting product information. ### Guardrails - A missing product fact remains missing until an authoritative source resolves it. - Product and variant matching must be reviewed when identity is ambiguous. - Publishing follows agreed approval and destination-access rules. ## What a first project includes. A bounded first build around your systems and team. We agree the scope, fee and baseline before we start. [Scope this with us]() [How we work together]() Sample scope Supplier data to product records ### We build - An intake and mapping flow for chosen supplier formats - Source-linked product records and exceptions - Approved PIM, store or channel publishing with a verification step ### We start from - Supplier spreadsheets, PDFs and approved source assets - Product and variant identity rules - Destination listing standards and required attributes ### From your team Owner - Catalog Lead - Product Information Manager Involves - Catalog - Sourcing - Product development - Creative - Engineering - Supplier Access to these systems and real examples to test against. ### Adapts to - Supplier-led production - Wholesale - Multiple selling channels ### We’d measure - Preparation and review time per comparable SKU - Required-field coverage and factual correction rate - Time to approved publishing and rejected records Baselines agreed before we build. ## Questions teams ask. Do we need to replace our current tools? Usually not. We start with the systems you already use and build only what’s missing. Typical connections: Shopify and other commerce platforms, PIMs, ERPs, feed tools and marketplaces. Who owns it once it’s running? Your team does. You own the agreed deliverables under the engagement terms, with documentation and training for the people who run it. Ownership usually sits with your catalog lead or product information manager. Ongoing support is optional and agreed separately. How do we get started? If the problem and scope are already clear, we can scope this build directly. If you’re weighing it against other priorities, start with Discovery & Action Plan. Its fee is credited in full if we build the recommended work. [How discovery works]() ## Often paired with. Part of [AI shopping & agentic commerce]() and [Product launch acceleration]() [All use cases]() - Growth & acquisition ### AI shopping readiness Products are difficult for shopping agents to find or understand. Channel-readiness assessment, corrected product feeds and an update process. [AI shopping readiness]() - Product development & quality ### Product development readiness Samples, tests and specification changes do not consistently reach production and launch plans. A current source-linked readiness plan with blockers, specialist decisions and complete production handoffs. [Ready1]() - Creative & content operations ### Campaign production Channels interpret the same brief differently and duplicate production effort. Versioned asset packages tailored to channel and audience. [Brief1]() More connected work ## Explore the programs - [Catalog & product information]() - [Creative & content operations]() - [Supply chain & fulfillment]() ## Browse by outcome - [Increase team capacity]() - [Convert and retain more customers]() ## Get your products ready sooner. Let’s start with one category. [Discuss this use case]() [**Talk through your catalog**15 minutes]() [Prefer to start with discovery? →]() We reply within one business day. --- Source: [https://www.thekeating.co/use-cases/supplier-file-ingestion/]() [Contact Keating & Co](mailto:nelson@thekeating.co) · [Agent guidance](https://www.thekeating.co/llms.txt)