The API to unify scattered customer data in real-time
Data scientists connect Tilores IdentityRAG to their LLM to search customer data scattered across multiple source systems. The LLM retrieves unified customer data, which it uses to answer queries or as context when querying subsequent unstructured data.
Tilores Key Features
Seamlessly connect all your customer data sources, including valuable metadata like orders/ transactions/ and more,
Build a unified "source of truth" for your LLM/ ensuring it always has access to complete and relevant customer insights,
Perform lightning-fast searches and updates/ keeping your LLM working with real-time data
Pros
Real-time integration of scattered customer data improves efficiency.
Enhances the capabilities of Large Language Models (LLMs) by providing comprehensive data context.
Facilitates more accurate and informed customer data queries.
Streamlines data retrieval processes for data scientists.
Cons
Requires integration with multiple source systems, which might be technically challenging.
Potential dependency on the performance and capabilities of the connected LLM.
May involve data privacy concerns due to the unification of customer data from various sources.
Shopify Apps
Wix Apps
Ecwid Apps
BigCommerce Apps
