HOW IT WORKS

Goodbye Metadata, Hello Customer Signals

Extract the true voice of the customer from every support interaction and use predictive and generative AI to make your team more efficient and strategic

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Seamlessly Integrate with Your Existing Tools

SupportLogic acts as a force multiplier for your CRM/ticketing system, unlocking actionable insights from unstructured data surrounding support interactions.

No rip and replace, working with your existing CRM

All data stays in your own VPC

Supporting every flavor of data movement

Read Every Ticket and Automatically Extract Signals Using AI and Natural Language Processing (NLP)

Automatically extract 40 different customer signals and hundreds of domain-specific keywords from your existing and live support tickets.

Combine public and private models for deeper insights

Extract more than 40 sentiment “signals” from your support data

Analyze 100% of your data to make more accurate predictions

Act Using Predictive and Generative AI Built for Support

We leverage LLMs and small, domain-specific language models (SLMs) within an enterprise-level environment for a variety of use cases:

Get automatic case summaries and next best action for quick troubleshooting

Distill intricate support case details into concise resolution summaries

Analyze customer sentiments embedded within case comments

Deliver Insights to the Entire Business

Extract powerful business insights from your support interactions. Share product feedback, feature requests, and sentiment trends with product, sales and marketing teams with a single click.

Build more accurate customer health scores

Analyze sentiment at individual or group levels

Discover product usage trends and create benchmarks

Reduced Customer Escalations by 40%

“Our collaboration with SupportLogic has leveled up our customer support experience and has resulted in a 40% reduction in escalations.”

Chad Singleton

Vice President of Support Readiness

How Nutanix Reduced Their Escalations

40

%

reduction in escalations

90

+

nps

97

%

csat

Read Case Study