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Case Study

How Tooda used General Bots API to enhance user experience with LLM power

Tooda, a leading food delivery platform, leveraged General Bots' API to build a powerful REST LLM engine. This case study explores how our innovative API Builder in BASIC with LLM capabilities transformed their service delivery and user experience.

Challenge

The Challenges Faced

Tooda was struggling with order processing flow, AI-demanding personalization in user recommendations, and difficulties in scaling their natural language understanding capabilities. They needed a robust solution to enhance their app's insights and user experience with LLM power.

Solution

How General Bots API Helped

By integrating General Bots' API and leveraging its API Builder in BASIC with LLM capabilities, Tooda transformed their platform with several key features:

Intelligent Order Processing

Implemented LLM-powered order understanding and routing for faster, more accurate deliveries.

Personalized Recommendations

Utilized LLM to analyze user preferences and provide tailored food suggestions.

Natural Language Interface

Developed an intuitive chat-based ordering system using LLM capabilities.

Scalable REST API

Built a robust REST LLM engine that could handle growing user demands efficiently.

Rapid Development

Leveraged API Builder in BASIC for quick iterations and feature deployments.

Enhanced User Experience

Improved app responsiveness and interaction quality using LLM-powered features.

Results

The Impact of General Bots API

The implementation of General Bots' API and LLM capabilities brought significant improvements to Tooda's platform:

  • Reduced order processing time
  • Increased user engagement through personalized recommendations
  • Improved order accuracy with natural language understanding
  • Achieved 99.9% uptime with the scalable REST LLM engine
  • Decreased development time for new features by using the simple API Builder: MSWord
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Encarregado de Proteção de Dados (DPO): Rodrigo Rodriguez (security@pragmatismo.com.br)

Rio de Janeiro - São Paulo - Paraná

Brazil

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