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AI assistant for processing incoming B2B requests in logistics
reducing the time it takes to process typical requests
Automation of routine calculations
AI-powered chatbots and the LLM
Customer
A large logistics company
CHALLENGES/FEATURES
Incomplete queries: need to clarify parameters (weight, route, cargo type).
Multi-level communication: the bot must simultaneously perform several parallel tasks.
Communication style: the bot must imitate a "live" consultant, using pauses, emojis, and maintain a variety of responses to engage users.
Multi-level communication: the bot must simultaneously perform several parallel tasks.
Communication style: the bot must imitate a "live" consultant, using pauses, emojis, and maintain a variety of responses to engage users.
Develop a chatbot prototype for processing incoming B2B inquiries.
The bot should calculate rates, clarify parameters, provide recommendations, connect to a manager if necessary, and collect user feedback (rating the conversation on a scale of 1-10 using emojis).
The bot should calculate rates, clarify parameters, provide recommendations, connect to a manager if necessary, and collect user feedback (rating the conversation on a scale of 1-10 using emojis).
Task
solution
Technical solution
The chatbot is implemented on the Langflow platform using an agent-based language model, DeepSeek LLM, and a system prompt to ensure a defined style and logic.
The technical solution includes:
1. Tools: rate calculation from a JSON document, manager selection, and user information collection.
2. Session and memory management for storing conversation history.
The technical solution includes:
1. Tools: rate calculation from a JSON document, manager selection, and user information collection.
2. Session and memory management for storing conversation history.
Result
Business values
Automation of routine calculations:
Collecting data for segmentation:
Reducing the time it takes to process typical requests.
Collection of structured information about requests and preferences.
Increasing traffic to the company's main digital channels.
Speed up response times:
Involvement:
Increasing customer satisfaction and loyalty and reducing the workload on managers
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