AI case study

Efficient customer onboarding

by
Mystifly
Context

Mystifly partnered with Google Cloud to develop Mystic, an AI-powered chatbot that leverages Vertex AI Agent Builder to understand complex airline industry queries. They implemented an internal system by indexing PDFs stored in Google Cloud Storage into an unstructured datastore for quick retrieval and integrated Dialogflow CX with Cloud Functions for seamless escalation. This solution automated customer onboarding and support workflows for their SSP Manager platform by enabling travel agents to resolve configuration questions independently.

Results

Reduced support requests and boosted efficiency, improving customer satisfaction.

Results not reported in the source
Region
Asia
Published
December 28, 2024
Agent type
Customer Agents
AI provider
Google
Models/tools
Not disclosed
ICE score
448
The ICE framework in this database provides a quick way to assess the feasibility and potential impact of AI use cases, with higher scores signaling more actionable opportunities.

Impact: Potential benefits to the business.

Confidence: Likelihood of achieving expected results.

Ease: Simplicity of implementation in terms of resources and time.

ICE Score: Calculated by multiplying the component scores.

Note:
Each score is AI-generated based on available data and should be viewed merely as a general guideline for deeper exploration of the use cases.
Impact
8
Confidence
8
Ease
7

20

AI use cases in

Travel and Hospitality

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Holland America Line

Travel and Hospitality
Use case
Faster personalized customer support
Context

Holland America Line developed a virtual agent called "Anna" using Microsoft Copilot Studio, which acts as a digital concierge on their website to support customers and travel advisors in booking cruises, managing existing bookings, and answering general questions.

trivago

Travel and Hospitality
Use case
Intuitive hotel search
Context

trivago integrated Google Cloud’s Vertex AI Search into its hotel discovery platform, enabling users to search using natural language with advanced LLMs. The AI was tailored to interpret free-text queries and integrated into existing search workflows to deliver personalized hotel recommendations. This reconfiguration improved search accuracy and user efficiency by transforming traditional, rigid search parameters into an intuitive discovery process.

Models/tools

La Basilica di San Pietro

Travel and Hospitality
Use case
Accessible cultural heritage
Context

Iconem captured over 400,000 high-resolution images using advanced photogrammetry techniques (drones, cameras, lasers) over a three-week period, which were processed by Microsoft’s AI for Good Lab on Azure to create an ultra-precise digital twin of St. Peter’s Basilica. The AI-driven model was refined with millimeter-level accuracy to detect structural vulnerabilities and enhance both interior and exterior visualizations, thereby supporting immersive, interactive exhibits and online cultural access.

Models/tools
Explore industries

166

companies using

Customer Agents

See All
Use case
Automated customer support
Context

Tidio integrated Anthropic’s Claude model to develop their Lyro AI agent, automating customer support interactions across both live chat and email channels. They implemented a network of specialized AI agents for conversation rating, summarization, and a dynamic routing system that selects the optimal API between native Anthropic API and Google Cloud Vertex AI based on performance metrics, streamlining support workflows and enabling personalized product recommendations.

Models/tools
...
2
Use case
Rigid support workflows
Context

Zendesk integrated OpenAI's models to create adaptive AI service agents that autonomously manage customer conversations and execute resolution tasks. They implemented a multi-agent architecture featuring task identification, conversational RAG, procedure compilation, and procedure execution agents integrated with existing support workflows through API calls and natural language procedure definitions, while providing real-time chain-of-thought visibility. This solution transitions from traditional intent-based bots to a hybrid model of scripted and generative reasoning, streamlining customer service processes.

Models/tools
...
2
Use case
Faster finance/legal research
Context

Hebbia built Matrix, a multi-agent AI platform that orchestrates OpenAI models including o3‑mini, o1, and GPT‑4o to automate complex financial and legal research tasks. The platform decomposes intricate queries into structured analytical steps and integrates modules like OCR, hallucination validation, and artifact generation to process complete documents, creating an infinite effective context window. This solution streamlines due diligence, contract review, and market research workflows, drastically reducing manual processing time.

Models/tools
...
3
Explore agents

255

solutions powered by

Google

See All
Use case
Fast registration & safety
Context

704 Apps implemented an AI solution using Vertex AI and Gemini 1.5 Pro to automate and accelerate driver identity verification and safety monitoring. They integrated these AI models into their existing cloud infrastructure built on Firebase and Google Kubernetes Engine, centralizing real-time data for document validation and audio sentiment analysis. The system alerts the central monitoring team when risk-related language is detected, streamlining operational decision-making and enhancing security.

Models/tools
...
2
Use case
AI integration on mobile
Context

OPPO integrated Google Cloud’s Vertex AI, AutoML, and Gemini large language model into its mobile devices to automate user feedback analysis, power AI Recording Summary features, and enable AI Toolbox functionalities such as AI Writer and AI Reply. They re-engineered their hardware platform, operating system, and third-party ecosystem to embed AI agents that optimize power consumption and reduce computing latency, streamlining mobile development workflows and enhancing user experience.

Models/tools
...
4
Use case
Personalized post-click landing
Context

Dataïads built an AI-powered “Post-Click Experience” system that automatically generates personalized landing pages by analyzing user context such as ad origin, product type, and behavior. The solution is implemented by integrating API access from Google Ads with Google Cloud managed services (Cloud Run and BigQuery) for automated scaling and controlled cost management, while planning to incorporate Vertex AI for further optimization. This implementation directly enhances ad campaign management and improves ecommerce conversion processes.

Models/tools
...
1
Explore AI providers

59

AI use cases in

Asia

See All
Use case
Efficient data handling
Context

LY Corporation leveraged OpenAI’s API to integrate advanced generative AI into its flagship services, including a GPT‑4o-powered LINE AI Assistant and GPT‑4 enhancements in Yahoo! JAPAN Search for summarizing reviews and generating travel plans. They also deployed SeekAI, an in-house productivity tool using RAG to rapidly retrieve information from internal documentation, streamlining employee inquiries and operations.

Models/tools
...
2
Use case
AI integration on mobile
Context

OPPO integrated Google Cloud’s Vertex AI, AutoML, and Gemini large language model into its mobile devices to automate user feedback analysis, power AI Recording Summary features, and enable AI Toolbox functionalities such as AI Writer and AI Reply. They re-engineered their hardware platform, operating system, and third-party ecosystem to embed AI agents that optimize power consumption and reduce computing latency, streamlining mobile development workflows and enhancing user experience.

Models/tools
...
4
Use case
Rapid, culturally-aware support
Context

SK Telecom integrated Anthropic's Claude on the Amazon Bedrock platform to power both in-call assist and post-call processing solutions. They implemented a custom in-house RAG model combined with real-time document search and automated summarization, classification, and sentiment analysis to augment call center operations and support culturally nuanced customer interactions.

Models/tools
...
2
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Thoughts & ideas