Accelerate your Team's Growth
Empower your engineers with streamlined processes, clear guidance, and the right tools to scale efficiently.
Align Architecture with Business Goals
Integrate technical decisions with strategic objectives, ensuring every solution drives measurable impact
Deliver Strategic Solutions for Lasting Success
Shape forward-looking strategies that anticipate market shifts, guiding your architectures and solutions to evolve with changing demands.
About Architecture for Growth
We specialize in scaling engineering teams, architecting robust technical solutions, and shaping strategic roadmaps that deliver measurable business results.
- We help you evolve from a small crew to a high-performing engineering organization, implementing clear processes, effective tooling, and proven frameworks that improve efficiency
- Every technical decision we guide is rooted in your strategic goals. We design architectures that reduce complexity, control costs, and accelerate time-to-market.
- We create actionable plans that anticipate industry changes, enabling you to adapt quickly, innovate confidently, and maintain a competitive edge.
Past Experience with
Case Study: Product Matching & Catalog Deduplication at eMAG
Challenge
eMAG needed to eliminate duplicate product entries from its massive online catalog. Manually identifying duplicates—like multiple variations of the same book or different listings of the same smartphone—was time-consuming and error-prone. The company sought an automated solution that accurately flagged duplicates, even among millions of products and complex attributes.
Approach
By leveraging Apache SOLR for flexible indexing and searching, along with a custom meta-language for defining matching rules, the team processed huge volumes of product data. They applied TF-IDF algorithms to measure textual similarity, introduced advanced techniques like Word2Vec to understand subtle linguistic variations (e.g., “smartphone” vs. “mobile phone”), and iterated rapidly using feedback loops. Instead of starting with a fully automated system, they began by offering human operators top suggestions and refined the rules based on their choices, ensuring continuous improvement.
Technologies & Methods
- – SOLR for indexing and search
- – Schema-less approach to store diverse product attributes
- – Custom meta-language for flexible matching rules
- – Word2Vec for semantic similarity
- – Incremental feedback-driven enhancements
