{"id":98215,"date":"2024-12-06T13:18:13","date_gmt":"2024-12-06T10:18:13","guid":{"rendered":"https:\/\/www.instinctools.com\/?post_type=success-stories&p=98215"},"modified":"2025-09-12T17:40:14","modified_gmt":"2025-09-12T14:40:14","slug":"ai-virtual-assistant-for-a-travel-app","status":"publish","type":"success-stories","link":"https:\/\/www.instinctools.com\/success-stories\/ai-virtual-assistant-for-a-travel-app\/","title":{"rendered":"AI Virtual Assistant For a Travel App"},"content":{"rendered":"\t\t
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AI-Fueled Virtual Assistant For a Travel Planner App<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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How upgrading their existing travel planner app by replacing a basic rule-based chatbot with a powerful AI-driven virtual agent enabled a GCC-targeted travel and hospitality agency to unlock hyper-personalization<\/strong>, resulting in a 15%<\/strong> increase in booking conversions and a boost in the annual retention rate from 28% to 41%<\/strong>. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Industry<\/strong>:
Travel and Hospitality <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Software Product Development<\/p>

AI Development<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Home<\/a><\/span><\/span><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Business challenge<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Just as the introduction of jet engines disrupted the travel industry in the 1950th, generative AI<\/strong> keeps thriving and upending travel planning in the same fundamental way. What\u2019s more, conversational AI<\/strong> is also gaining momentum, ushering in a new era for customer experience. With the joint power of conversational and gen AI<\/strong>, previously reactive rule-based chatbots can be replaced with intelligent and proactive virtual assistants smart enough to act on the user\u2019s behalf.<\/p>

Our client, a digital travel and hospitality agency in the GCC region<\/strong>, didn\u2019t miss a bit. With a wide partner network spanning local airlines, hotels, taxi services, cultural venues, restaurants, etc., they jumped at the chance to pull ahead.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Have you ever used an all obe travel planning app?<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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In fact, a diagnostic survey among their customer base, including casual travelers, travel hobbyists, and digital nomads, revealed that 91% of users were juggling multiple apps to handle their trip needs, despite a strong demand for a convenient, all-in-one solution<\/strong>. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Therefore, they decided to strike while the iron is hot and upgrade their existing application for managing flights, accommodations, attractions, and other actions by replacing the in-app rule-based chatbot with Travel Ally, a frontline AI-powered travel assistant<\/strong>. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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The enhanced solution was supposed<\/span> to support users at every stage of their journey, with capabilities like:<\/span><\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Hassle-free booking<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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for accommodations, restaurants, museums, amusement parks, etc. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Real-time itinerary adjustments<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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to unexpected situations, such as lost documents, medical emergencies, and so on. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Trip researching and planning, all in-app<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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from choosing a destination and flight price tracking to checking weather conditions and selecting places to visit.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Collecting and analyzing post-trip feedback<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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to level up next travel experience.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Instinctools\u2019 team worked side-by-side with the client\u2019s in-house IT department, bringing in hands-on machine learning and generative AI expertise to help make their big bet on hyper-personalization and customer experience pay off.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Solution<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Since the client was already using Amazon products<\/strong>, such as S3, Lambda, Athena, etc., it was agreed to build on this foundation, adding SageMaker and Bedrock.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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    Deciding on the AI linchpin: multi-agent system (MAS)<\/h3>\n<\/li>\n<\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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    A single AI agent couldn\u2019t handle the range of tasks the client had in mind, therefore, our AI & ML team suggested a cooperative multi-agent system (MAS)<\/strong> where agents with different skill sets address different types of data and tasks.<\/p>

    The system was designed to process different types of data, as the specifics of the travel planning virtual assistant required agents to be well-versed in working with both unstructured data<\/strong>, such as customer reviews, and structured tabular data<\/strong>, such as financial data on flight and accommodation costs, etc. <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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    Our technology stack included: <\/p>