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New model DVM-HALL and NHAS score explore AI's impact on customer loyalty

By PulseAugur Editorial · [2 sources] ·

A new research paper introduces the Dynamic Verifiable Multi-Agent Human Agentic Loyalty Loop (DVM-HALL) model and the Net Human-Agent Score (NHAS) to address how Agentic Artificial Intelligence impacts traditional customer loyalty. The DVM-HALL model formalizes brand choice based on human emotional equity, machine utility, trust, authority, and verifiable execution, particularly within decentralized finance settings. The NHAS metric is proposed as an auditable, risk-weighted score to measure human-agent alignment using various feedback and execution data. AI

IMPACT This research provides a theoretical framework for brands to understand and adapt to the shift towards AI-driven customer interactions and purchasing decisions.

RANK_REASON Research paper published on arXiv detailing a new model and scoring system.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New model DVM-HALL and NHAS score explore AI's impact on customer loyalty

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Research paper published on arXiv detailing a new model and scoring system.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Sai Srikanth Madugula, Peplluis Esteva de la Rosa, Daya Shankar ·

    The Dynamic Verifiable Multi-Agent Human Agentic Loyalty Loop (DVM-HALL) Model and the Net Human-Agent Score (NHAS) in Autonomous Commerce

    arXiv:2607.13998v1 Announce Type: cross Abstract: The rapid proliferation of Agentic Artificial Intelligence fundamentally disrupts traditional customer loyalty paradigms. As AI evolves from passive recommendation algorithms to autonomous, goal-directed agents capable of executin…

  2. arXiv cs.AI TIER_1 English(EN) · Daya Shankar ·

    The Dynamic Verifiable Multi-Agent Human Agentic Loyalty Loop (DVM-HALL) Model and the Net Human-Agent Score (NHAS) in Autonomous Commerce

    The rapid proliferation of Agentic Artificial Intelligence fundamentally disrupts traditional customer loyalty paradigms. As AI evolves from passive recommendation algorithms to autonomous, goal-directed agents capable of executing purchasing decisions, the conventional understan…

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