This n8n workflow automates the process of managing taxi service provider data, handling requests, caching data, and integrating AI-powered decision-making. Designed for taxi dispatch or service booking systems, it ensures efficient provider data retrieval, intelligent processing, and seamless customer interactions. The workflow starts with triggers such as workflow execution, Langchain chat, or webhook, and proceeds through various nodes that load provider info, cache responses, perform calculations, and validate data. It includes intelligent caching mechanisms with Redis, AI-powered analysis, and decision points to ensure the right provider data is used in real-time. Practical for taxi dispatch apps, this automation improves response times, reduces manual errors, and enhances customer service from booking requests to provider recommendations.
Automated Taxi Service Provider Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatXAiGrok, @n8n/n8n-nodes-langchain.toolCalculator, code, executeWorkflow, executeWorkflowTrigger, if, postgres, postgresTool, redis, set, stickyNote, switch |
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