Loading…
← Back to schedule
From crawled pages to strategic insights: AI-powered Competitive Insights at scale
FULL
Wednesday May 27, 2026 12:00 - 12:30 CEST
4 - MEDIUM STAGE
Limited Capacity full
Adding this to your schedule will put you on the waitlist.
How do you know if your product assortment is complete, well-structured, and competitively relevant — across **millions of products**, updated weekly, without a team of analysts manually browsing competitor websites?

At Leroy Merlin (ADEO), we faced exactly this challenge. Category managers needed actionable competitive intelligence: a structured view of **assortment coverage** — which product types competitors offer, which attributes they highlight, and where gaps exist. That means extracting structured product attributes — dimensions, materials, capacities, product types — from raw competitor product pages and mapping them onto our own product taxonomy.

We built a fully automated, AI-powered pipeline running on Google Cloud (Vertex AI + BigQuery) that today monitors **31 retailers and marketplaces** — including ManoMano, Castorama, Amazon, CDiscount, Ikea, Bricorama, and even the Leroy Merlin marketplace itself — processing over **26 million products** weekly.

The system combines two complementary AI approaches:
- A **custom ML classification model** — the **PEM (Product Entity Matching) API**, an existing ADEO digital asset reused here for a new purpose — that assigns each competitor product to one of **2,873 product models** within ADEO's internal taxonomy. It successfully classifies **62.7% of all ingested products**, with confidence-score thresholding ensuring downstream data quality.
- **Gemini 2.0 Flash** for structured characteristic extraction from raw product text, using few-shot prompting, self-verification loops, and type-aware validation (closed value sets, numeric measurements with automatic unit conversion). This has produced over **39 million characteristic values** across **80 distinct attributes** on **11.5 million products**.

The results feed a **dbt aggregation pipeline** in BigQuery, stream to a **Vue.js frontend**, and give category managers a live, filterable view of how Leroy Merlin's catalog compares to the market — by product type, characteristic, and price quartile.

In this Tools in Action session, we'll walk through the full pipeline architecture, the AI design choices and their trade-offs (LLM output validation, reuse of internal ML assets, quality filtering), and close with a live demo of the app.
Speakers
avatar for Guillaume Caron

Guillaume Caron

Data Scientist, Leroy Merlin France
avatar for Julien Momal

Julien Momal

Product Manager, Leroy Merlin France
### Julien Momal — Product Manager, Leroy Merlin France

Julien has been a Product Manager at Leroy Merlin for over 4.5 years. As Leroy Merlin France Domain Lead for Offer & Purchasing topics, he bridges the gap between business impacts and innovative product delivery.
Wednesday May 27, 2026 12:00 - 12:30 CEST
4 - MEDIUM STAGE
  Data / AI, Tools In Action

Attendees (50)


Waitlist (10)


Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Tweet Share

Get help with the event

Contact event planner Event login
View support guides Find upcoming events
Create an event you'd love to attend!
Explore why organizers choose Sched • Success stories
Event App • Event scheduling • Event registration • Event ticketing • Sched forms • Call for papers • Badges • Conferences
© 2026. SCHED LLC - All rights reserved - Helping events since 2008
Meeting Planning Software • Privacy • Terms
Share Modal

Share this link via

Or copy link