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What is Tilores?

Organizations that effectively harness data make use of the Tilores API to create a unified customer profile across diverse systems. They devise real-time solutions that aid in risk management, fraud detection, and the delivery of personalized digital experiences, all while circumventing complex engineering hurdles. Inconsistent, incomplete, and outdated customer information presents significant challenges for businesses striving to align their strategies and maintain accurate reporting. To effectively leverage customer data, organizations must first standardize their schemas and ensure seamless integration of both historical and new data. Even after establishing a centralized system with coherent customer data, additional development work is often required to maximize its potential. To facilitate this, it is crucial for the unified customer data to be consistently synchronized back to each department's individual source systems, effectively creating a distributed source of truth. This strategy allows businesses to manage risk more adeptly, proactively identify fraud, and improve customer service. By converting fragmented and siloed customer data into a holistic Customer 360 perspective, organizations can uncover valuable insights and enhance their decision-making capabilities. Ultimately, this integration leads to a more profound understanding of customer behaviors, which drives ongoing improvements and fosters innovation within the organization. As a result, companies not only become more agile but also position themselves to adapt to changing market dynamics.

What is AWS Entity Resolution?

Implement entity resolution workflows in mere minutes, drastically reducing the time typically required for such processes from months to just a few short spans. Customize advanced matching techniques that boost data accuracy based on your unique business needs. Protect your data while minimizing unnecessary transfers by retrieving records directly from their original sources. AWS Entity Resolution streamlines the task of matching and connecting related records, removing the need for custom-built solutions entirely. Leverage flexible, configurable machine learning (ML) techniques in tandem with rule-based methods to fine-tune record matching according to your organizational objectives. By removing duplicate entries, you can uncover richer insights from your data, effectively preparing it for artificial intelligence (AI) model training and ultimately driving better business outcomes. Cultivate more impactful experiences by utilizing integrated insights across multiple areas, including advertising, marketing campaigns, customer support services, loyalty initiatives, and e-commerce activities. Achieve seamless integration of SKUs, UPCs, or distinct product identifiers into a unified product record, which enhances tracking across retail outlets and supply chains and leads to greater operational efficiency. Furthermore, this streamlined approach not only boosts productivity but also fosters a data-driven culture that can adapt to future challenges and opportunities.

Media

Media

Integrations Supported

GraphQL
HubSpot CRM
HubSpot Customer Platform
Salesforce
Snowflake

Integrations Supported

Amazon Web Services (AWS)

API Availability

Has API

API Availability

Pricing Information

$2000/month
Pricing is based on Unified Customer Records (UCRs), which is the ultimate number of customers you have in Tilores, regardless of the number of data records.
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Tilores

Date Founded

2021

Company Location

Germany

Company Website

tilores.io

Company Facts

Organization Name

Amazon

Company Location

United States

Company Website

aws.amazon.com/es/entity-resolution/

Categories and Features

Identity Resolution

Not specified

Categories and Features

Identity Resolution

Not specified

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