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gemini · Trengo · question_index=6

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Discover tools that improve customer response times and facilitate team collaboration.

Answer

Trengo is a comprehensive customer engagement platform designed to significantly improve customer response times and facilitate seamless team collaboration through its array of features. To improve customer response times, Trengo offers: * **Omnichannel Inbox** It centralizes all customer communications—including email, WhatsApp, live chat, social media, SMS, and voice—into a single interface, enabling agents to manage all interactions from one place and reduce the need to switch between platforms. * **AI and Automation** Trengo utilizes AI Agents to automate over 80% of repetitive conversations, providing immediate and personalized answers 24/7 in more than 70 languages. AI Journeys allow for the creation of no-code workflows to automatically route conversations, capture details, and answer frequently asked questions in real-time. Additionally, features like AI Suggested Replies, AI Summarizations, AI Translations, and AI Labeling further streamline communication and enhance efficiency. Chatbots and flowbots also handle common inquiries and route customers to the correct agents, offering 24/7 support. * **Self-service Tools** The platform supports self-service options, such as knowledge bases and interactive guides, empowering customers to find solutions independently. * **Analytics and Reporting** Trengo provides dashboards to track key metrics like first response time and resolution time, offering insights to continually optimize service delivery. * **Website Widget** An omnichannel widget can be added to a website, displaying all integrated channels and allowing customers to choose their preferred communication method, often supported by chatbots for instant answers. For facilitating team collaboration, Trengo provides: * **Shared Team Inbox** This central hub allows multiple team members to collaboratively receive, respond to, and manage customer inquiries. * **Internal Communication Tools** Within conversation threads, team members can use internal notes and comments to discuss issues and share information without the customer seeing these interactions. * **Conversation Assignment and Tagging** Conversations can be assigned to specific team members or entire teams, ensuring clear ownership. Colleagues can also be tagged for assistance on complex issues. * **Co-authoring Responses** Agents can work simultaneously on crafting responses within the shared inbox. * **Team Management** Users can be organized into teams based on departments, locations, or communication channels, enhancing workflow management. * **Centralized Customer Data and Integrations** Trengo integrates with various third-party systems, including CRMs, to provide a 360-degree view of customer profiles, preferences, and history, allowing agents to respond with full context.

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href=\"https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQFxHh6Y9QjCzJi58pOm2565c1JxHnDdZIH-7RcjV7dB3NZLcofCkGXyqOSut4kgVKJD3ZWj3R3GWiSyhkT8vxzgk0vvfxGjEzrCj32CojdR3Q443JLeE8e94csF22bAFAenCfWfy2mgKwB9ge3skeasHqspixieWmOxXtB2OZRibI79GP611uL001rXctTfIURXF3HUlbo=\"\u003eTrengo shared inbox\u003c/a\u003e\n \u003ca class=\"chip\" href=\"https://vertexaisearch.cloud.google.com/grounding-api-redirect/AUZIYQEgnaHzBrijK4x-kueFOJDZ4WoDoc8aGFC_ELMXrtH7hye3kGpHMwA-66IL9SHt-wNnRBqtQdgzfMbNQfUvZ_gyubOP3zEQwqvh7I9-SLP-uV2vDohIqZXCrkeM1SXW4nZZJ3qfjYagriMlacdSGQFWTfKhzNS6ofTDpRZGt8ma4S3MQGJJOP_oVbQmIIjB81LEhyBLZClNns2kDgQ0\"\u003eTrengo automation features\u003c/a\u003e\n \u003c/div\u003e\n\u003c/div\u003e\n", "sdk_blob": null }, "source_flagging_uris": null, "web_search_queries": [ "Trengo features customer response times", "Trengo team collaboration features", "Trengo shared inbox", "Trengo automation features" ] }, "index": 0, "logprobs_result": null, "safety_ratings": null, "token_count": null, "url_context_metadata": null } ], "create_time": null, "model_version": "gemini-2.5-flash", "parsed": null, "prompt_feedback": null, "response_id": "CrKMaZitMJ3TvdIP69f_mAw", "sdk_http_response": { "body": null, "headers": { "alt-svc": "h3=\":443\"; ma=2592000,h3-29=\":443\"; ma=2592000", "content-encoding": "gzip", "content-type": "application/json; charset=UTF-8", "date": "Wed, 11 Feb 2026 16:44:58 GMT", "server": "scaffolding on HTTPServer2", "server-timing": "gfet4t7; dur=10840", "transfer-encoding": "chunked", "vary": "Origin, X-Origin, Referer", "x-content-type-options": "nosniff", "x-frame-options": "SAMEORIGIN", "x-xss-protection": "0" } }, "usage_metadata": { "cache_tokens_details": null, "cached_content_token_count": null, "candidates_token_count": 563, "candidates_tokens_details": null, "prompt_token_count": 72, "prompt_tokens_details": [ { "modality": "TEXT", "token_count": 72 } ], "thoughts_token_count": 1141, "tool_use_prompt_token_count": 269, "tool_use_prompt_tokens_details": [ { "modality": "TEXT", "token_count": 269 } ], "total_token_count": 2045, "traffic_type": null } }, "request_payload": { "input": { "contents": "You are answering a user query. Be concise but helpful.\nIf you mention products or brands, be specific.\nDo not invent facts. If unsure, say you are unsure.\n\nBrand under analysis: Trengo\nBrand website: https://trengo.com/\n\nUser query: Discover tools that improve customer response times and facilitate team collaboration.", "model": "gemini-2.5-flash" }, "model": "gemini-2.5-flash", "provider": "gemini" }, "retry_policy": { "base_backoff_s": 0.6, "max_retries": 3, "timeout_s": 60 }, "usage": { "cost_usd": 0.0014291000000000002, "input_tokens": 72, "model": "gemini-2.5-flash", "output_tokens": 563, "pricing_source": "local_price_table_v1", "provider": "gemini", "total_tokens": 2045 }, "usage_raw": { "cache_tokens_details": null, "cached_content_token_count": null, "candidates_token_count": 563, "candidates_tokens_details": null, "prompt_token_count": 72, "prompt_tokens_details": [ { "modality": "TEXT", "token_count": 72 } ], "thoughts_token_count": 1141, "tool_use_prompt_token_count": 269, "tool_use_prompt_tokens_details": [ { "modality": "TEXT", "token_count": 269 } ], "total_token_count": 2045, "traffic_type": null } }

What was sent to the model?

{ "input": { "contents": "You are answering a user query. Be concise but helpful.\nIf you mention products or brands, be specific.\nDo not invent facts. If unsure, say you are unsure.\n\nBrand under analysis: Trengo\nBrand website: https://trengo.com/\n\nUser query: Discover tools that improve customer response times and facilitate team collaboration.", "model": "gemini-2.5-flash" }, "model": "gemini-2.5-flash", "provider": "gemini" }

Error json

null