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PositivityTech® AI Risk Algorithms |

Tal Solutions LLC

PositivityTech® AI Risk Algorithms |

Tal Solutions LLC

AI predictive algorithms, fueled by customer complaint language, identify at-risk customers

We find the hidden opportunities in your customers’ complaints.

Integrating AI-powered predictive algorithms with human expertise, the PositivityTech Platform uses customer narrative data to break down complaint language, derive variables, and rank risk.

Click “Contact me” to access PositivityTech’s algorithms and uncover high-risk interactions.

AI Algorithms Key Business Outcomes

· Provide early warnings of customer complaints and illuminate pain points.

· Highlight topics that provide deeper meaning into existing complaints.

· Improve segmentation and offer strategies to get ahead of risks and impact net income.

· Prioritize and adopt actions to inhibit future complaints.

Key Features

The PositivityTech platform’s multiple algorithms reveal potential environmental risks to drive preemptive management actions.

  • Severity Score: A proprietary domain-specific algorithm and lexicon that identifies severe complaints and future risk based on customer narratives.
  • Sentiment Score: An open-sourced algorithm and lexicon that identifies sentiments expressed in customer narratives.
  • Categorization: Consistent and multifaceted grouping of customer complaints provides insights to identify relevant resolutions across all customer touchpoints, from digital to in-person.
  • Bias Index: A tool that identifies prejudice within customer complaints and makes it possible to prevent systemic discrimination.
    • Using PositivityTech’s AI-powered Bias Index, we’ve explored millions of customer complaints and discovered three types of biases — small in number, yet vital to understand.
      • Explicit bias: The customer uses words that indicate they experienced bias.
      • Implicit bias: The customer uses contextual references that imply bias.
      • Suggested bias: The customer describes situations that hint at bias.
  • Triggers: Algorithms that reveal leading indicators of environmental risks, pinpoint timely issues that may require preemptive management actions.
  • Debt Collection Model: Predicts the likelihood of non-payment of debts owed.

Our algorithms isolate high-risk customer interactions and help you prioritize where business actions will matter most.

Your customer’s voice is your most valuable asset.

Customers tell you what you need to know. Are you listening?

Transform negatives to positives with PositivityTech, and ensure that complaints become a critical part of your success.

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