Tilores | the API to unify scattered customer data in real-time

Data-driven companies use the Tilores API to create a unified customer view across all their source systems.

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Tilores | the API to unify scattered customer data in real-time

Introduction

Tilores provides an API designed to unify scattered customer data in real-time, enabling businesses to create a comprehensive customer view across various source systems. This solution addresses challenges related to inconsistent and outdated customer data, facilitating better risk management and personalized digital experiences.

Feature

  1. Customer 360 View

    Transform siloed customer data into a unified Customer 360 view, allowing for better service, team alignment, and informed product development.

  2. Customer Risk Management

    Detect fraud during account creation by leveraging real-time access to unified customer data, enabling the identification of relationships between new sign-ups and existing customers.

  3. Retrieval-Augmented Generation (RAG)

    Enhance the performance of large language models (LLMs) with real-time fuzzy search capabilities on structured data, providing accurate and context-rich responses.

  4. Scalable Integration

    Easily unify new and historical customer data, supporting the development of new use cases without significant engineering overhead.

  5. Automated Syncing

    Automatically sync unified customer data back to each source system, simplifying data management processes.

  6. Transparent Querying

    Query unified customer data with clear reasoning for profile merges and relationship mappings, ensuring transparency in data handling.

How to Use?

  1. Connect your source systems using Tilores' GraphQL API or prebuilt connectors like Salesforce or Hubspot.
  2. Ensure all customer data is cleansed, normalized, and enriched before ingestion to match a unified schema.
  3. Regularly review and adjust parameters for unified records to align with your business needs.

FAQ

What is Tilores?

Tilores is an API that helps businesses unify scattered customer data in real-time, creating a comprehensive view that enhances decision-making and customer service.

How does Tilores work?

Tilores connects to various source systems, cleanses and normalizes customer data, and syncs it back to create a unified customer profile accessible across departments.

Can I use Tilores for fraud detection?

Yes, Tilores enables real-time fraud detection by matching new sign-ups against existing customer data, helping to identify potential risks.

How is Tilores different from other data management tools?

Tilores focuses on real-time data unification and automated syncing back to source systems, reducing the need for extensive engineering resources and providing a more streamlined approach to data management.

Price

  • Free plan: $0/month
  • Basic plan: $9.99/month
  • Standard plan: $19.99/month
  • Professional plan: $49.99/month

Evaluation

  1. Tilores effectively addresses the challenge of fragmented customer data, providing a robust solution for businesses seeking to unify their data sources.
  2. The automated syncing feature significantly reduces the engineering complexity typically associated with data management.
  3. However, the reliance on external source systems may pose integration challenges for some businesses, particularly those with legacy systems.
  4. While the API offers powerful capabilities, users may require a certain level of technical expertise to fully leverage its features.
  5. Overall, Tilores presents a compelling option for data-driven companies looking to enhance their customer data management processes.

Latest Traffic Insights

  • Monthly Visits

    10.39 K

  • Bounce Rate

    50.29%

  • Pages Per Visit

    1.61

  • Time on Site(s)

    34.75

  • Global Rank

    2546244

  • Country Rank

    United States 1423539

Recent Visits

Traffic Sources

  • Social Media:
    5.98%
  • Paid Referrals:
    0.49%
  • Email:
    0.08%
  • Referrals:
    6.56%
  • Search Engines:
    54.60%
  • Direct:
    32.27%
More Data

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