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Summary
TextYess is an AI-powered platform that enables businesses to automate customer support and sales through WhatsApp.
Sector
eCommerce
Use case
AI shopping assistant
Launch
January 2024
LLM in Use
OpenAI ChatGPT-4o
TextYess is a fast-growing, WhatsApp-focused AI shopping assistant that empowers eCommerce platforms to convert conversations directly into orders. Their innovative platform leverages LLMs to create highly engaging and personalized shopping experiences, facilitating millions of daily customer interactions.
As TextYess rapidly expanded its user base and conversation volume, it encountered a significant challenge: how to maintain optimal performance and continuously enhance the effectiveness of its AI shopping assistant at scale.
This pivotal need for deep, real-time insights into LLM user interactions became crucial for sustained growth and market leadership.
“The growth in user conversations made manual review impossible for us. Nebuly's ability to automatically track the most common conversation topics and flagging poor LLM responses has been a game-changer.
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Here’s what Nebuly delivered to power TextYess LLM analytics transformation:
As TextYess scaled its AI shopping assistant and the volume of LLM user interactions grew exponentially, gaining a clear overview of conversation quality became a critical hurdle. TextYess faced the challenge of efficiently flagging ineffective LLM responses among millions of conversations. They needed:
01. Scalable visibility into LLM interactions to understand performance.
02. The ability to identify friction points and pinpoint successful AI conversations.
03. A way to replicate high-converting experiences for an improved AI customer experience.
To overcome these challenges, TextYess partnered with Nebuly, leveraging our specialized LLM analytics engine for scalable visibility and continuous AI agent optimization.
Nebuly enabled TextYess to consistently oversee the quality of their AI shopping assistant user interactions as they scaled.
Our approach included:
01. Automated user feedback analysis
Nebuly's advanced user feedback feature automatically flags positive and negative LLM interactions, providing actionable LLM insights that eliminated tedious manual analysis.
01. Comprehensive Conversational AI Analytics
We delivered granular conversational AI analytics, allowing TextYess to pinpoint exact improvement areas and enhance AI shopping assistant user experience, driving LLM customer satisfaction.
The partnership followed a clear, iterative customer journey:
→ STEP #01: Free trial with a batch data set. TextYess initiated their journey by importing a batch of LLM conversation transcripts via the Nebuly API for initial LLM evaluation.
→ STEP #02: Collaborative Results Review. After data import, LLM insights were instantly available. Nebuly and TextYess collaborated to define key metrics and patterns, integrating custom reports for deeper GenAI product analytics.
→ STEP #03: Live Analysis and Continuous Improvement. A secure data flow was established for live analysis and continuous LLM improvement, ensuring LLM observability at scale.