Identify Trending Customer Experience Issues
Reduce customer churn
Analyze patterns of fraud
Identify Trending Customer Experience Issues
Agolo enables CX Teams to identfy trending Customer Experience issues and topics from any interaction across any channel, thereby enabling teams to rapidly take action on trending issues and topics.
By ingesting and then organizing all of your undstructured data into a single, structured knowledge base of your customer interactions, you have the data foundation in place to identify, track, and analyze trending topics.
Using Agolo, you can analyze a much broader set of mutli-language, unstructured data on customer experiences. Leveraging context-aware Al, you can quickly and accurately identify trending customer experience issues and topics. Ultimately, you can convert these insights into improved customer experiences, leading to lower customer churn and increased revenue opportunities
Analyze your vast trove of unstructured customer experience data - including call, chat and email transcripts, weblogs, and social media content - to better understand customer journeys and take proactive strategies to address reasons for customer churn.
By analyzing customer needs more accurately, quickly and completely, CX teams can identify underlying root causes of customer churn. From service recovery to revenue opportunities, you'll automatically know who to target, with what offer, and at the appropriate stage in the CX journey.
Using Agolo, you have visibility into your unstructred customer experience data - including chat and call transcripts, web logs, social media content, etc -- to understand reasons for customer churn. Our self-learning Al analyzes t
As fraud activities increase with digital acceleration, contact centers are faced with emerging fraud vectors and increasingly complex, well-disguised threats. Agolo can help with you with advanced fraud detection and prevention. The business value comes from reducing any losses associated with current fraud, while also reducing future fraud with preventive majors.
By integrating all of your omni-channel contact transcripts into a knowledge base and organize these by entity types, Agolo enables analysts enables to rapidly research different fraud vectors and patterns. This enables the analytsts not only to identify fraud more efficiently, they will also be able to spot additional fraud that is currently going unnoticed.
With Agolo's Al, you can automatically analyze a much broader set of unstructured data than you currently do. With our ontology-driven content processing, we analyze the unstructured transcripts and analyze both specific instances and general patterns of fraud.
Forgetful bots that can't keep up with customers' conversations leaving your customers frustrated? Agolo's knowledge base, ensure seamless, extended dialogues that keep the conversation going
Conversational Al often suffers from amnesia, with context losses leading to repeated or irrelevant responses. But imagine a chatbot that can sustain longer, contextually-aware conversations without "forgetting" past interactions.
Using Agolo's Knowledge Graph as Conversation Entity Memory, an LLM can now tap into contextually relevant data throughout the dialogue. The result? An Al that can manage tokens effectively, allowing for conversations that are consistent, logical, and devoid of repetitive loops, greatly enhancing user experience.