Customer experience (CX) teams usually take days of creative thinking, data crunching, market analysis and then several more days of operational hazards to launch a new CX initiative. And every day lost in launching a new digital product or a program is an opportunity loss in generating incremental revenue or driving customer stickiness or achieving competitive advantage.
Flytxt GenAI utilizes a well-trained knowledge base and algorithms to detect anomalies. Its extensive domain-specific training frees Flytxt GenAI from hallucinations and drifts associated with open LLM-based generative AI tools. Flytxt GenAI can create novel designs and CX innovations. It also saves human effort by setting up tactical plans to translate design into action.
Flytxt’s GenAI-driven platform goes beyond optimisation and opens up new possibilities. It can leverage its expansive knowledge graph and CLTV foundation model to discover untapped trends and patterns in customer and product data. It can also generate new ideas and designs for digital products and customer engagement programs.
Flytxt’s GenAI goes beyond automation of manual and repetitive tasks to create CLTV maximisation plans and strategies. It can generate high-quality content, strategic plans, and tactical actions at scale for CX teams to realize their goals faster.
At the heart of Flytxt GenAI is a domain-augmented foundation model. The model comes pre-trained on trillions of data points from subscription businesses — capturing product and customer characteristics.
AI enables design of high performing digital products with automated price optimisation, benefit tuning and quick experimentation.
AI generates promotional content that resonates with the target audience and channel of engagement. It fine-tunes and adapts messages, visuals, and offers to match audience persona and business context.
AI creates a tailored customer experience program to meet your marketing goals and constraints like a personalized customer journey or a campaign design or a loyalty program.
AI automatically detects breaches of network service level agreement (SLA) and generates remediation or upgrade plans.
AI sequences the appropriate steps for resolving specific customer issues or agent queries and establishes escalation criteria.
AI generates visual & textual insights, reports, and dashboards in response to user queries in natural language.