Advanced AI search engine

Complex filtering and navigation made it difficult for users to find the right car. Mobile users struggled the most, often abandoning their search out of frustration. Traditional search engines returned too many irrelevant or poorly ranked results. Manual product tagging and keyword matching were unsustainable at scale. Customer experience lagged behind expectations in a highly competitive market.

• BigHub developed and deployed a product assistant with generative AI, specifically tailored to AAA Auto’s mobile website — designed to handle natural language queries and accelerate product search.

  Delivered features:
  

• Intelligent vector search integrated with Azure OpenAI Services (GPT model family).
  
• AI assistant interpreting vague, complex, or incomplete queries in real time.
  
• Seamless integration with AAA Auto’s internal product database and inventory systems.
  
• Fully mobile-optimized interface with near-instant (<1 second) results.

End user

3

Azure OpenAI, Vector search engine, GPT LLMs, Security API layer, Mobile UX integration.

Head of IT / Data / Technology

Full implementation

Maintenance provided if required by the client.

Trained power user

Click-through rates on search results increased by 5%, indicating better relevance and user satisfaction. More than 600 users use the assistant daily in production. Significant drop in bounce rates during mobile search sessions. Instant and relevant answers drive higher satisfaction and longer time spent on the website. Users find what they are looking for faster, even with vague or misspelled queries. A seamless and intuitive mobile experience increases loyalty and reduces friction.

“Collaboration with BigHub was absolutely professional. Clear communication and a well-defined scope from the beginning ensured an efficient project flow. The cooperation also included a valuable exchange of knowledge in machine learning and artificial intelligence. The people at BigHub delivered exactly what they promised, on time and within budget.” – Jakub Řehák, Data Science Manager, Aures Holdings.

Effective project management – clearly defined roles, responsibilities, and regular communication.
Team collaboration – high engagement and open knowledge sharing among team members.
Data quality and availability – enabled faster development and more reliable results.
Flexibility and adaptability – ability to quickly respond to changes and new requirements.

When planning an AI project, we recommend starting with a clearly defined business objective and a realistic estimate of benefits and risks.