Jump or climb? Progress has no secret except effort.

Yassine Fatihi: curiosity, the real trigger.

Yassine Fatihi started as a developer in 2015, building intranets, platforms and dashboards. Then came e-commerce: project manager, business analyst, product owner, on Magento, Salesforce Commerce Cloud and order management systems. Since 2021, product data has been at the core of the work.

One question kept coming back along that road: why do good teams, with good tools, still publish products with wrong or missing information? It is not because the tool is bad that the catalog is broken. Most of the time, the data model and the ownership are.

In March 2023 that question became Doctor Project: an independent practice, remote or on site, built on Research, Strategy, Technology and Leadership, with one goal: make product data clear, structured and useful, so customers find the right product and businesses grow with confidence.

Why does Doctor Project exist?

Complexity to clarity, in product data systems.

Across luxury, fashion, petcare, DIY retail and B2B distribution, the same pattern keeps appearing: a catalog modeled on a supplier classification, identifiers nobody owns, several tools and no single source of truth. Teams work hard and still fix the same errors every week.

Efficiency is not only speed. It is how often you have to stop and fix things. Doctor Project exists to reduce those stops: get the model and the ownership right first, then let the tools do their job.

The Golden Question

The lesson behind the method

On a global petcare catalog, a barcode reconciliation showed that 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.

Nothing was broken in the tools. The problem was a decision made years earlier, the first time an identifier was assigned. An identifier is a promise to the outside world, and the cheapest moment to get product data right is the first one.

So we start before any configuration: the model, the identifiers, the owners. The tools follow.

Drive your direction before it drives you

How we work

Every engagement rests on four pillars:

Research: facts first. We measure your catalog before we recommend anything.
Strategy: a roadmap that business and IT can both sign.
Technology: the tool is never the hero, it serves the model.
Leadership: decisions, owners and governance that still hold after go-live.

Governance is a daily habit, not a document. That is why every mission ends with teams who can run the catalog on their own. See how a PIM engagement starts.

Clarity over complexity

Small and senior by design, remote or on site. You work directly with the person who designs the solution, in English or French, from the first workshop to go-live. The mission is simple: prove that good product data does not need more complexity. It needs a clear model, clear owners and a little patience.

Education and certifications

A Master's in Web and Mobile Development and Architecture (EFREI Paris, 2020), a Bachelor's in Computer Science (UPEC, 2018), and certifications in Akeneo, Fluent Commerce and project management. Learning never stops: we test before we recommend.

Professional Bachelor's in Data Security

Advanced Project Management Certification

Issued by Centrale Lille in November 2013, specializing in high-level project management practices.

Founders Program – Station F

Worked in Station F's renowned Founders Program, collaborating with two startup founders for two years.

BTS in IT Services for Organizations (BTS SIO)

Master's in Software and Web Development

Sectors we know from the inside

Luxury and jewelry, fashion, petcare and veterinary, DIY retail, confectionery and B2B distribution. Each sector taught us something the next one needed.

Startup Industry

Where it started: building the product.

Before product data, there was code. As a developer and project manager on SaaS products for invoicing and IP protection, and later as a prompt engineer for a LinkedIn SaaS, we learned how fast a young product grows, and how quickly its data model has to keep up.

Youth Organization

Teaching technology without jargon.

With a non-profit dedicated to digital inclusion, we helped design and deliver digital skills training for people in professional reintegration. Explaining technology in plain words is a skill every PIM project needs too.

Real Estate Industry

Agile delivery for a franchise network.

On an intranet project for a real estate franchise network, we ran the agile ceremonies and structured the backlog into epics, features and stories, keeping an external development team aligned with the business.

Fashion Industry

Where product data meets orders and stores.

For fashion brands and department-store groups, we worked on an order management integration across several continents, a Magento and Akeneo implementation for two retail banners, and a composable commerce transformation. A product is only as good as the data that follows it from the catalogue to the checkout.

Gardening & Floral Industry

Seasonal catalogs, perishable products.

For a national florist chain, we managed an e-commerce platform transition: partner handover, data transfer and continuity. Seasonal and perishable products test a catalog's structure every single week.

Jewelry Industry

Luxury data is about precision and trust.

On a luxury jewelry catalog, we modeled certificates, stones, carats, metals and provenance, and set up roles, rights per locale and category, and translation workflows, with training for teams in the US and South Korea.

Consulting Industry

Inside multi-partner teams.

Many projects were delivered alongside agencies and integrators, in teams of four to six partners working at the same time. That taught us to write specifications people can build from, and to keep every partner pointed at the same goal.

Petcare Industry

Same product, different truths per audience.

For a global petcare brand, one catalog serves pet owners, veterinarians and professionals across many markets and regulatory zones. After a catalog rework for search, zero-result searches dropped from about 8% to about 2% in a year (figure reported by the client team). For a veterinary distribution platform, a central umbrella catalog replaced duplicated products.

Education industry

Teaching and public sector roots.

We taught project management modules and sat on master's defense juries at an engineering school, and early in the journey built intranet tools for a public education body. Explaining a method clearly matters as much as the method itself.

Building Materials

Trade catalogs and DIY retail.

For a cooperative network of building-materials distributors, we led a dual B2C and B2B e-commerce deployment with CRM, ERP and WMS integrations. For a European DIY retailer, we rebuilt a catalog of 1,324 flat families into a two-level model and kept 555 of 5,181 attributes for the web.

Artificial Intelligence

AI that respects the data model.

For a European DIY retailer, 200 AI configurations and 950 rules filled 150 previously empty attributes with 80% coverage and an error rate below 5%, because prompts had to pick from existing options and never invent values. AI amplifies the data quality you already have, good or bad.

Automotive Industry

Data dashboards in an industrial world.

Early in the journey, as a front-end developer at a global automotive supplier, we built internal dashboards and optimized SQL queries. Industrial data taught us that a number nobody trusts is a number nobody uses.

Art & Culture

Culture meets structure.

For an urban culture platform in Morocco, we advised on digital transformation: design thinking workshops, project tooling, AI workflows and a website redesign, without losing the creative energy that makes the place what it is.