AI and Smart Clustering

AI and Smart Clustering applied to CRM Systems

Identity reconstruction and advanced segmentation for communication

The Problem

Company databases often contain a wealth of already structured information that is not yet being fully leveraged.

Incomplete, outdated or insufficiently detailed data can limit the ability to build an in-depth understanding of contact profiles, reducing the effectiveness of marketing activities and their overall commercial potential.

Work Methodology

  1. AI Agents and Identity Reconstruction: Integration, through the use of intelligent agents, of existing data with information from public and professional sources to improve the quality and depth of profiles.
  2. From Theory to Behavior: Analysis of real-world interactions, both digital and physical, to complement and validate self-reported data, providing a more complete and dynamic view of each contact.
  3. Predictive Clustering: Organizing contacts into homogeneous clusters based on interests, industry, and potential, thereby turning the database into an operational tool for targeted marketing activities and sales initiatives.

Ultimate Goal

Through a dedicated innovation program offered by the Tecnopolo di Rimini, companies can unlock the value of their existing databases, transforming them into high-quality, actionable assets that effectively support marketing strategies and generate new sales opportunities. Predictive Clustering enables companies to optimise the use of their data lakes.
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