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Use case
Automate sales workflows
Context

Rox, a sales platform, integrated OpenAI’s GPT-4o, GPT-4o mini, and Realtime API into their system to create a three-tiered AI-powered assistance platform. This includes data unification, complex reasoning, and interaction layers, enabling the Rox Agent Swarm to automate repetitive tasks and provide actionable insights, increasing sales reps' productivity by 50%.

Models/tools
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3
Use case
Handle complex customer inquiries automatically
Context

Decagon, a company focused on automating customer support, uses OpenAI's suite of GPT models, including GPT-3.5 and GPT-4, to manage large volumes of support inquiries without human intervention. The models are configured for tasks such as query rewriting, complex decision-making, and API request processing, offering scalable, nuanced responses tailored to each customer's needs.

Models/tools
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5
Use case
Facilitating EV adoption
Context

Uber is developing an AI assistant using OpenAI's GPT-4o to guide drivers in transitioning to electric vehicles.

Models/tools
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1
Use case
Overcoming data degradation
Context

Altera uses OpenAI's GPT-4o to build "digital humans," AI agents that play Minecraft with users like friends.

Models/tools
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1
Use case
Automating website section creation
Context

Coframe uses GPT-4o to build an AI growth engineering assistant that autonomously generates new sections of a website based on existing code and images.

Models/tools
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1
Use case
Improving UI element recognition
Context

Automat builds GPT-4o-powered RPA agents to automate processes with improved UI element recognition.

Models/tools
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1
Use case
Enhancing marketplace operations
Context

Mercado Libre uses the Verdi platform powered by GPT-4o, GPT-4o mini, and GPT-3.5 Turbo to improve inventory capacity, fraud detection, customer service mediation, and personalized notifications.

Models/tools
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3
Use case
Personalizing cancer care
Context

Color Health uses GPT-4o to create a copilot application that integrates patient data with clinical knowledge to generate personalized cancer screening and treatment plans. It helps identify missing diagnostics and streamline documentation, reducing time to treatment by allowing clinicians to identify gaps in patient workups 4x faster.

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