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Development of an AI-Powered Multi-Agent Virtual Assistant for Travel Planning

instinctools.com

Hospitality & leisure

Information technology

Challenges in Travel Planning and Customer Engagement

Users juggling multiple apps for trip planning, low annual retention rate (28%), reactive rule-based chatbot limitations, inability to deliver hyperpersonalized experiences, and high last-minute cancellation rates (12%) due to inadequate real-time support.

About the Client

Digital travel and hospitality agency with a focus on AI-driven solutions for the GCC region

Project Goals and Outcomes

Replace rule-based chatbot with AI-driven virtual assistant for hyperpersonalization
Increase booking conversions by 15%
Boost annual retention rate to 41%
Reduce last-minute cancellations by 12%
Enable real-time itinerary adjustments and expense tracking

Core System Functionalities

Real-time itinerary adjustments for emergencies/changes
Hyperpersonalized destination/activity recommendations
Integrated booking for flights, accommodations, and attractions
Automated expense tracking with manual entry support
Multi-agent data processing for structured/unstructured data

AI and Cloud Technologies

Amazon SageMaker

Amazon Bedrock

Llama 2 LLM

LangChain framework

Amazon Kendra

System Integrations

AWS S3 (data storage)
AWS Lambda (serverless computing)
AWS Athena (query service)
AWS IAM (access control)
Payment gateways for booking transactions

Performance and Scalability

Real-time response latency under 2 seconds
Horizontal scaling for peak travel seasons
Data encryption for user privacy compliance
99.9% system uptime SLA

Expected Business Impact and Outcomes

15% increase in booking conversions through personalized recommendations, 13% annual retention growth from improved user experience, 40% faster booking completion times, and 15% higher average transaction value via intelligent cross-selling. System scalability will support 500,000+ concurrent users during peak travel periods.