PIM Integration

Govern your product data end to end

Your product data is scattered across Excel, ERP and handcrafted databases? Slow enrichment, multi-channel inconsistencies, incomplete product sheets on e-commerce. We integrate a PIM tailored to your catalog and processes — to turn your product data into a true strategic asset.

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The challenge

Why centralize your product data in a PIM

Without a PIM, product data quickly becomes a growth bottleneck:

Scattered data: ERP, Excel files, Access databases, supplier emails — no single source of truth
Slow enrichment: manual entry, copy-paste between systems, product go-live delays > 1 week
Multi-channel inconsistencies: different descriptions between website, mobile app and marketplaces
Incomplete product sheets: completeness rate < 70% on e-commerce, direct impact on conversion
Chaotic asset management: scattered product photos, inconsistent naming, unoptimized formats
No validation workflow: errors published directly, no approval circuit
Impossible scalability: adding a channel (marketplace, app) = re-entering all data
Manual translation: manual localization, no translation memory, inconsistencies between languages
Architecture

Technical overview

Architecture headless e-commerce

Découplage front / back avec middleware BFF, services métier headless et intégrations SI

Front Headless
Middleware / BFF
Services Métier Headless
Intégrations SI
Content APICommerce APIProduct APISearch APIPaiementCommandesLogistiqueSync produits
Next.js / AstroSSR, SSG, ISR
App MobileReact Native, Flutter
PWA / SPAOffline, push
CDN & EdgeCloudFront, Fastly
BFF / API GatewaySymfony, Node.js
Cache & InvalidationRedis, Varnish
CMS HeadlessContentful, Strapi, Payload
E-commerceShopify, commercetools, Sylius
PIMAkeneo
SearchAlgolia, Meilisearch
PSPAdyen, Stripe
ERPCegid, SAP
OMS / WMSManhattan
iPaaSMulesoft
Source
Traitement
Service
Sortie
Solution comparison

PIM: solution comparison

We integrate market-leading PIMs, tailored to your catalog volume and business processes:

Akeneo (Community & Enterprise)

Akeneo (Community & Enterprise)

Strengths
  • Analyst-recognized PIM leader
  • Native marketplace connectors
  • Granular completeness rules
  • Advanced asset management (integrated DAM)
Limitations
  • Expensive Enterprise license
  • Interface sometimes slow on large catalogs
  • Complex advanced customization
Ideal for: Enterprises with large catalogs (> 10,000 SKUs) and multi-channel distribution.
Salsify

Salsify

Strengths
  • PXM (Product Experience Management)
  • Native marketplace syndication
  • Digital shelf analytics
  • Rich content management
Limitations
  • High pricing
  • Oriented toward mass retail
  • Less flexible for custom needs
Ideal for: Brands distributed in mass retail that need to control their marketplace presence.
Pimcore

Pimcore

Strengths
  • Open-source, very flexible
  • Integrated PIM + DAM + CMS
  • REST and GraphQL API
  • Unlimited extensibility
Limitations
  • Steep learning curve
  • Requires PHP/Symfony skills
  • Smaller community
Ideal for: Organizations with very specific needs who want an all-in-one open-source solution.
inRiver

inRiver

Strengths
  • Intuitive user interface
  • Advanced multi-channel management
  • Marketplace syndication
  • Visual workflows
Limitations
  • High SaaS pricing
  • Limited customization vs open-source
  • Restricted connector ecosystem
Ideal for: B2B and industrial enterprises with complex technical catalogs.

No technology dogma. We recommend the solution best suited to your context, constraints and ambitions. Every choice is documented and justified.

Our methodology

End-to-end support, phase by phase

Each phase produces concrete deliverables. You maintain visibility and control at every step.

01 Product data & process audit
02 Modeling & scoping
03 Integration & migration
04 Go-live & continuous optimization
01 2 to 3 weeks

Product data & process audit

Map your product data sources, analyze data quality and consistency, identify bottlenecks in the enrichment process.
Deliverables
  • Product data source inventory (ERP, supplier files, internal databases)
  • Data quality audit: completeness, consistency, duplicates, errors
  • Enrichment process mapping (who, what, when, how)
  • Distribution channel analysis (e-commerce, marketplaces, print, retail)
  • PIM benchmark (Akeneo, Salsify, Pimcore, inRiver)
  • Multi-criteria decision matrix with recommendation
  • Budget estimate and macro planning
02 3 to 4 weeks

Modeling & scoping

Define the target product data model: families, attributes, variants, assets, relationships. Design enrichment workflows and quality rules.
Deliverables
  • Target product data model (families, categories, attributes, groups)
  • Variant definition and inter-product relationships
  • Enrichment workflow (collection, enrichment, validation, publication)
  • Completeness and quality rules per distribution channel
  • Asset management strategy (images, videos, technical documents)
  • Connector specifications (import/export ERP, e-commerce, marketplaces)
  • Existing data migration plan
03 6 to 10 weeks

Integration & migration

Implement the PIM, develop connectors to your ecosystem (ERP, e-commerce, marketplaces), migrate existing data. Iterate with business teams.
Deliverables
  • PIM installation and configuration
  • ERP connector development (Cegid, SAP) — master data import
  • E-commerce connector development (Shopify, commercetools, Sylius)
  • Marketplace connector (Amazon, Zalando, etc.) if applicable
  • Existing data migration pipeline (ETL scripts, cleansing, validation)
  • Completeness rules and quality alert configuration
  • Business team training (enrichment, workflows, publication)
  • Technical documentation and user guide
04 Ongoing

Go-live & continuous optimization

Go to production, monitor data quality, optimize enrichment processes. Support teams on product model evolution.

-40%coûts cloud
Deliverables
  • Production launch with rollback plan
  • Data quality monitoring (completeness, cross-channel consistency)
  • Enrichment tracking dashboards (productivity, lead times, quality)
  • Continuous process and connector optimization
  • Post-launch support (new channels, new product families)
  • Monthly PIM performance reporting
Business value

What you concretely gain

Expected results

Product time-to-market reduced by 40 to 60%

Product data quality > 95%

Conversion increase of 15 to 25%

Product time-to-market reduced by 40 to 60%

Automated enrichment workflows, rule-based validation, one-click multi-channel publication. Your new products are live in hours instead of days.

Product data quality > 95%

Per-channel completeness rules, automatic inconsistency detection, quality alerts — your product sheets are complete, consistent and up-to-date across all channels.

Conversion increase of 15 to 25%

Enriched product sheets (descriptions, assets, technical attributes), consistent data across channels — customers find information and buy more.

Enrichment costs reduced by 30%

Data centralization, automated supplier imports, transformation rules — less manual entry, fewer errors, fewer reworks.

Single source of product truth

One repository governs all product data. No more scattered Excel files, local databases and copy-paste between systems.

Product team autonomy

Intuitive business interface, tracking dashboards, quality alerts — product teams manage their catalog without technical intervention.

Client references

They trusted us with this type of engagement

Groupe Bayard

PIM integration for centralized management of editorial products (books, magazines, subscriptions). Connectors to Sylius e-commerce and distribution systems.

Kering — Boucheron

Luxury product data governance across multi-markets (WW & APAC). Jewelry product sheet enrichment with high-definition assets, variant management and per-market pricing.

Frequently asked questions

Your questions, our answers

01 What is the difference between a PIM and an ERP for product management?
The ERP manages transactional product data (inventory, purchase price, logistics). The PIM manages product experience data (marketing descriptions, photos, videos, technical attributes, translations). Both are complementary: the ERP feeds the PIM with master data, the PIM enriches and distributes to sales channels.
02 How long does it take to integrate a PIM?
Between 3 and 6 months depending on complexity (catalog size, number of connectors, existing data quality). A functional MVP (data model + main e-commerce connector) is typically delivered in 8-10 weeks.
03 Do we need to clean our data before integrating a PIM?
Yes, it's critical. We integrate a cleansing phase into the migration: deduplication, attribute normalization, inconsistency correction. A PIM fed with dirty data won't solve your problems — it will centralize them.
04 How does the PIM connect to our e-commerce?
Via dedicated connectors (REST API / events). The PIM publishes enriched product data to the e-commerce platform (Shopify, commercetools, Sylius). Synchronization can be real-time (webhook) or batch (cron), depending on your data freshness needs.
05 Akeneo Community or Enterprise: how to choose?
Community is sufficient for catalogs < 5,000 SKUs with standard needs. Enterprise brings advanced business rules, integrated DAM, approval workflows, marketplace connectors and SLA support. Beyond 10,000 SKUs or with multi-market needs, Enterprise is recommended.

Ready to take control of your product data?

Free 30-minute initial diagnostic. We analyze your current enrichment process and identify improvement levers — no commitment.

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