17528857. SYSTEM AND METHOD FOR REAL-TIME CUSTOMER CLASSIFICATION simplified abstract (MICROSOFT TECHNOLOGY LICENSING, LLC)

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SYSTEM AND METHOD FOR REAL-TIME CUSTOMER CLASSIFICATION

Organization Name

MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor(s)

Michael Dean Lucarelli of Sammamish WA (US)

Nitin Sood of Redmond WA (US)

Joyce Stanley Eastaff of Redmond WA (US)

SYSTEM AND METHOD FOR REAL-TIME CUSTOMER CLASSIFICATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17528857 titled 'SYSTEM AND METHOD FOR REAL-TIME CUSTOMER CLASSIFICATION

Simplified Explanation

The abstract describes a method for classifying tenants into different customer categories based on data signals associated with them. The method involves receiving a request to classify a tenant, retrieving data signals from data source systems, identifying the tenant's customer category in real-time based on the data signals, and storing the classification data signal for the tenant.

  • The method classifies tenants into customer categories based on data signals.
  • Data signals are retrieved from data source systems.
  • The tenant's customer category is identified in real-time.
  • The identified customer category is stored as a classification data signal for the tenant.

Potential Applications

  • Customer segmentation: The method can be used to categorize tenants into different customer segments based on their data signals, allowing businesses to tailor their services and marketing strategies accordingly.
  • Personalized recommendations: By classifying tenants into customer categories, businesses can provide personalized recommendations and offers to enhance the tenant's experience and increase customer satisfaction.
  • Targeted advertising: The classification of tenants into customer categories can help businesses target their advertising campaigns more effectively, reaching the right audience with relevant messages.

Problems Solved

  • Manual classification: The method eliminates the need for manual classification of tenants into customer categories, saving time and reducing human error.
  • Real-time identification: By identifying the tenant's customer category in real-time, businesses can respond quickly and adapt their strategies accordingly, improving customer engagement and satisfaction.
  • Data-driven decision making: The method allows businesses to make data-driven decisions by utilizing the data signals associated with tenants, leading to more accurate customer categorization and improved business outcomes.

Benefits

  • Efficiency: The method automates the classification process, saving time and resources for businesses.
  • Accuracy: By utilizing data signals, the method provides a more accurate classification of tenants into customer categories.
  • Personalization: Businesses can offer personalized services and recommendations to tenants based on their customer category, enhancing the overall customer experience.


Original Abstract Submitted

A method for classifying a tenant as being associated with one of a plurality of customer categories includes receiving a request to classify a tenant as being associated with one of a plurality of customer categories, dynamically retrieving from one or more data source systems, a plurality of data signals associated with the tenant, one or more of the plurality of data signals being stored as individual properties for the tenant in the one or more data source systems, dynamically identifying, in real-time, the tenant as being associated with one of the plurality of customer categories based at least on the plurality of data signals, and storing the identified one of the plurality of customer categories as a classification data signal for the tenant.

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