Independent PIM Consultancyfor Global Brands.

Doctor Project is the PIM and PXM consultancy founded by Yassine Fatihi. We help brands and retailers structure, enrich and govern their product information, so every channel, from e-commerce to marketplaces and stores, shows accurate, complete and consistent data.

Our work starts from the customer: what does a shopper need to know to buy with confidence? From there we design the data model, the workflows and the team organization that make that information reliable, and keep it reliable as your catalog grows.

Luxury and jewelry, fashion, petcare and veterinary, DIY retail, confectionery, B2B distribution: every catalog is different. So we adapt to your sector, your teams and your culture, instead of applying a template.

Functional, business-side

We sit between your business teams and your technical partners. We translate merchandising, marketing and e-commerce needs into a data model, governance rules and workflows that your integrator can build and your teams can run.

Senior and hands-on

You work directly with Yassine Fatihi, founder of Doctor Project, who designs the solution. Workshops, specifications, testing and training are run by the same person from start to finish.

Akeneo expertise, requirements first

We bring deep Akeneo experience, but every engagement starts from your requirements, your existing systems and your budget, not from a tool.

PIM and PXM

PIM keeps product data accurate. PXM (Product Experience Management) makes it persuasive and adapted to each channel, market and language. We cover both.

PIM Audit & Diagnostic

A full assessment of your data model, workflows and team organization, delivered as a structured report with a clear action plan.

Akeneo Implementation

End-to-end project management: scoping, data model design, connector setup, team onboarding and go-live.

AI Product Enrichment

AI-assisted workflows to generate, translate and validate product descriptions, attributes and rich content at scale.

Team Training & Governance

Workshops and documentation so your PIM team becomes autonomous, consistent and aligned with business goals.

Three moments from recent PIM projects. Client names stay private; the numbers are real.

A European DIY retailer: the model was the problem, not the tool

The catalog was modeled on a supplier classification: 1,324 flat families, each carrying between 196 and 385 attributes, so completeness meant nothing and nobody could tell what was really missing. We rebuilt it as a two-level family model and kept 555 of 5,181 attributes for the web. A classification standard is a shared language between companies, not a model for shoppers.

The same retailer: AI that is not allowed to invent

200 AI configurations and 950 rules filled 150 previously empty attributes with 80% coverage and an error rate below 5%, because every prompt had to pick from existing attribute options and never invent a value. The pilot started on 260 products before scaling to 2,600+ product texts across 13 categories.

A global petcare brand: findability starts in the catalog

After the catalog's categories and attributes were reworked for search, searches returning zero results dropped from about 8% to about 2% in a year, a figure reported by the client team. Bad product data is a customer problem before it is an IT problem.

Standards are how your product data travels outside the company: to retailers, distributors, marketplaces and search engines. We treat GS1 and GTIN rules, ETIM classification and schema.org markup as part of the data model from the start, because once partners depend on an identifier, changing it is slow and expensive.

GS1 and GTIN: an identifier is a promise

A GTIN (Global Trade Item Number) is the number behind a product's barcode, issued through GS1. Retailers, marketplaces and distributors use it to recognize your product, so it has to stay unique and stable. In a global petcare catalog, 67% of products shared a duplicated barcode, caused by product versioning and low GS1 maturity. Fixing it meant warning distributors for about 4,000 references. The cheapest moment to get identifiers right is the first one, so GTIN consulting starts with simple rules in the PIM: which change needs a new number, who assigns it, and how partners are told.

ETIM and other classification standards

ETIM classifies technical products, such as electrical, plumbing and building items, with a defined set of features per class, so manufacturers and distributors exchange data in the same language. That shared language is useful between companies, but it is not a model for shoppers. We map your attributes to ETIM or GS1 classifications for your partners, and keep a separate structure built around how your customers search and compare.

schema.org: the version machines read

schema.org is the shared vocabulary for structured data on web pages. Product markup with a correct GTIN, brand and key attributes gives search engines an unambiguous way to identify what you sell. It only works when the PIM holds clean, unique identifiers to publish.

Every PIM project is different, but the first weeks follow the same logic: understand the business, measure the data, then agree a roadmap before anyone configures a PIM system.

1. Discovery call and scoping

We discuss your catalog, your channels, your current tools and your goals, then agree the scope of a first mission.

2. PIM assessment

A review of data quality, the product data model, supplier onboarding, digital assets and workflows, measured against best practices for your sector.

3. Roadmap and PIM strategy

A prioritized roadmap: quick wins, the right PIM platform or the changes your current PIM solution needs, and the data governance to support them.

4. Implementation and adoption

We work with your teams and your integrator through the PIM implementation project, then train the people who own product content, so time to market and customer experience improve on every digital channel.

Three ways to work together, depending on where your project is today. In each one you work directly with Yassine, who does the work: on a defined scope, or as a fractional PIM lead inside your team.

PIM audit

A fixed-scope review of your data model, data quality, workflows and governance, ending with a prioritized roadmap. Useful before choosing a PIM, before a migration, or when the PIM you already have is not delivering what the business expected.

Fractional PIM lead

Part-time and ongoing. We take client-side ownership of the product data model and governance, alongside your team and your integrator: decisions on families, attributes, variants and identifiers, data quality rules, and the daily habits that keep them alive. It fits companies that need PIM leadership on their side, without a full-time hire yet.

Implementation support

During a PIM implementation or migration, we act as the functional lead on your side: requirements, data model design, migration rules, acceptance testing and training, while your integrator builds and connects the platform.

Not sure which one fits?

Many engagements start with a discovery call and an audit, then continue as fractional or implementation support once the roadmap is clear. Each mission is scoped after the discovery call, so you get a clear proposal before committing.

Remote or on site, with teams across time zones. Projects run in English or French.

Europe

France, Germany, the United Kingdom and multi-country rollouts.

North America

United States, with remote work across North American time zones.

Asia

South Korea and Japan, within global programs.

Middle East and North Africa

Morocco, the United Arab Emirates and the wider region.