• Revenue Optimization: The engine learns which products actually convert and pushes them higher, even if they have slightly less textual relevance.
• Clickstream-based Learning: Heavily reliant on behavioral data (clicks, add-to-carts) to train its models in real-time.
• Assistant (GenAI): Launched "Constructor Assistant," a conversational shopping agent that uses LLMs to guide users (e.g., "Find me a gluten-free recipe for dinner").
• Attribute Enrichment: Automatically scans product catalogs to fix missing data and tags (auto-classification) using AI.
• Personalized Collections: Easy creation of landing pages for specific user intents.

Constructor is currently the disruptor in a relatively saturated market. The search has some interesting USPs and a high degree of specialisation for B2C e-commerce. This makes the solution very interesting for this use case. More established providers who have been on the market for some time and develop more generalist products are facing a tough challenge here. Constructor positions itself as the only search engine that was built at the core to maximise revenue and is very close to the business user.