Case Studies / AI Chatbots

CASE STUDY

An AI Chatbot for Real-Time Cost Estimation in Maritime Agency Services

How we designed a chatbot that delivers fast, accurate cost estimates across multiple countries and ports, always based on the company's real data.

AI Chatbots & AgentsService AutomationConversational AI
Instant Answers
Real-time cost estimates instead of manual handling
100% Data-Driven
No guesswork — only real pricing and company terms
Login & No-Login
Two access options for different client needs
Monthly
Regular review and improvement based on user feedback

The Challenge

Slow, manual cost estimates across many countries and ports

A maritime agency network operating across multiple countries and ports needed to give charterers and shipowners fast, accurate cost estimates — for crew changes, bunker calls, proforma disbursement accounts and other services — without every query having to go through the back office. The challenge was building a chatbot that answers strictly from real pricing data, without ever guessing a number — critical in a field where one wrong digit in a cost is unacceptable.

Our Approach

A smart, reliable service chatbot

infoteam designed a chatbot with a guided, step-by-step conversation flow — service type, country, port — instead of free-form dialogue, so answers stay accurate and consistent. Two variants (with login / without login) cover different client access points, with continuous improvement through regular feedback review.

Key Implementation Highlights

Accuracy in every number

Costs are calculated and checked before the answer is written, so there are no inconsistencies across repeated questions.

Relevant, complete answers

The system searches and combines the most relevant sources of information, balancing accuracy and completeness.

Answers from official data only

The chatbot answers strictly from the company's real data, never guessing when information is missing, and keeps track of the conversation.

Guided, step-by-step conversation

Users are guided through clear steps (service type, country, port) for short, easy-to-follow answers, with automatic escalation to a human agent for urgent cases.

From manual back-office handling to an instant chatbot experience

The project is under active, continuous improvement based on user feedback, aiming for increasingly accurate and consistent answers across the full range of supported services.

What changes for the agency network

A reliable, automated process instead of manually handling every cost query.

  • Faster response times for cost and service queries
  • More consistent, numerically accurate answers grounded strictly in the data
  • Reduced back-office workload, with automatic escalation to a human agent when needed

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