Case Study:
How Gepard Set Up HP Content Syndication For Amazon
Discover the innovative approach the Gepard team used to overcome the HP challenge
Case Study:
Discover the innovative approach the Gepard team used to overcome the HP challenge
HP Inc. is a global technology company known for designing and manufacturing personal computers, printers, imaging supplies, and 3D printing solutions for consumers, SMBs, and enterprises. With operations across all major regions (Americas, EMEA, APJ), HP serves millions of customers through direct, channel, and marketplace models.
Build an omnichannel middleware that transforms HP’s master data into Amazon-compliant product feeds and delivers them to multiple country endpoints, without manual spreadsheets.
HP representatives log in to a dedicated, secure Gepard portal. They enter the SKUs or product list they want to launch or update and use the built-in “Check Selected SKUs” feature to instantly see which products are available in the system.
Gepard automatically pulls authoritative content from multiple sources — HP’s internal master data, Icecat’s global content repository, and other connected databases. All relevant product details, marketing copy, specifications, and media assets are collected and merged into a single, unified record.
Using its intelligent mapping engine, Gepard aligns every attribute, feature, category, unit of measure, and media element to Amazon’s NIS template for each target country (UK, DE, FR, IT, ES). This step also includes handling of mandatory vs. optional fields, localization of feature names, and mapping of attribute values to Amazon-approved picklists to avoid validation errors.
Once mapped, the middleware converts the unified product records into Amazon-compliant output formats. This includes generating valid NIS template files, populating every required field, attaching A+ content where available, and running automated validation routines to catch missing or incorrectly formatted data before delivery.
Gepard automatically submits the transformed product data to Amazon’s designated endpoints for each country, along with rich media assets such as images, PDFs, and enhanced content. Delivery is tracked in real time, so HP teams can see exactly when a feed is accepted or if any issues need attention.
The system provides a detailed dashboard view showing product-by-product status, validation results, and delivery outcomes. This transparency helps HP content managers quickly identify and resolve any flagged issues, re-trigger updates if needed, and confirm that new or updated products are live in Amazon’s catalog without guesswork.
Amazon NIS Compliance (Per Category)
Taxonomy Alignment (HP ↔ Amazon)
Connection to Content Provider (Icecat)
Multi‑Country Variations (UK/DE/FR/IT/ES)
Status Visibility & Controls
Implemented precise, per‑category mappings and validation against Amazon NIS templates to ensure attribute completeness, hierarchy correctness, and template conformity; automated generation minimizes errors.
Normalized HP product data to Amazon’s taxonomy, mapped attributes and values, and applied category‑specific rules to preserve intent and improve discoverability.
Leveraged a direct Icecat connector to source, enrich, and standardize product data; integrated into the transformation pipeline with monitoring and fallbacks.
Applied endpoint‑specific template logic (attributes, mandatory fields), language/locale settings, units, and formatting to ensure correct delivery per marketplace.
Exposed per‑SKU processing statuses inside the Gepard form, with dashboards for errors/success, retries, and audit logs to monitor transformation and delivery.
Business Value: Reduction of manual work during mapping & transforming product data. Established a centralized source of truth.
Working closely with HP, we configured category‑ and attribute‑level mappings from HP’s internal taxonomy and Icecat structures to Amazon’s NIS model. This standardized pipeline eliminated ad‑hoc spreadsheets, preserved attribute intent, and made future additions repeatable.
Business Value: Faster onboarding of new SKUs with fewer listing errors and predictable go‑live timelines.
We implemented per‑category NIS validation rules, mandatory field checks, and automated template generation for UK/DE/FR/IT/ES. This ensured every SKU met Amazon’s structure and localization constraints before delivery.
Business Value: Increased conversion through enriched, accurate product pages delivered at scale.
By integrating Icecat assets and A+ elements into the Gepard Syndicator flow, HP now exports ready‑to‑ingest NIS forms and image feeds, removing manual collation and ensuring rich content parity across marketplaces.
Business Value: Real‑time insight into transformation status and data readiness across locales and categories.
We surfaced per‑SKU processing statuses, error diagnostics, and audit logs within the Gepard UI, enabling HP teams to prioritize fixes, rerun failed jobs, and maintain SLA‑level confidence in content delivery.
Gepard PIM solution is a 100% flexible blend of product information management services, such as data validation, standardization, syndication, automated product information collection, data enrichment tools, and digital shelf analytics. With its extensive any-to-any connections base, the Gepard PIM platform allows you to integrate with various marketplaces, content providers, and retailers and build strong eCommerce partnerships, ruled by the power of top-notch products data.
With the wide product line, it took the HP team thousands of hours of manual work to adapt HP EMEA product descriptions to Amazon NIS templates and other Amazon Seller Central requirements. Each product description consisted of 150-300 data fields with A+ content.
