Multivariate Canonical Data Model for Tagging Customer Base of Energy Utility Enterprise

• US 20160132913A1
• Filed: 04/09/2015
• Published: 05/12/2016
• Est. Priority Date: 11/11/2014
• Status: Abandoned Application

• Current Assignee: iGate Global Solutions Ltd. (Igate Corporation)
• Original Assignee: iGate Global Solutions Ltd. (Igate Corporation)
• Inventors: Hanjrah, Jasjeet Singh, Patwardhan, Bipin, Mitra, Sanghamitra, Chaudhari, Nilendra
• Application Number:
  US14/683,104
• Publication Number:
  US 20160132913A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: Y02P 80/10 Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier

Abstract

A system and method contact a customer of an energy utility to solicit participation in an energy efficiency, sustainability, or reliability program. The system receives data pertaining to each customer, the data for each customer having a plurality of attributes pertaining to a customer descriptive characteristic, communications history, energy usage, or attitude. The data are normalized to a canonical form, and populated in a multivariate data model. Data in the model is clustered using a multivariate algorithm. Each cluster is assigned a utility customer segment, such as “Concerned Green” or “DIY”, that reflects the prevalent attributes. For each segment, the system determines a prospect subset of the customers most likely to participate in an offering pertaining to that segment according to a likelihood threshold. Finally, a prospect customer is contacted with an offering that may be customized according to the assigned customer segment.

Claims