AI case study

Modernize legacy system

by
Fast Shop
Context

Migrated the data platform to Microsoft Azure by leveraging Azure Analysis Services, Azure Data Factory, Azure Databricks, SQL Database, Azure Storage, Event Hubs, and Microsoft Power BI to consolidate and optimize data for self-service reporting and to enable AI initiatives with Microsoft Copilot Studio.

Results

Cost reduction; over 50% reduction in load/transformation objects; improved governance, report delivery, and data accuracy.

Results not reported in the source
Published
September 20, 2024
Agent type
Data Agents
AI provider
Microsoft
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

40

AI use cases in

Retail & e-commerce

See All

Wayfair

Retail & e-commerce
Use case
Personalized shopping experience
Context

Wayfair, a U.S. ecommerce retailer, uses ChatGPT and OpenAI APIs across the organization, including legal, research, marketing, and customer service. They leverage AI to enhance personalization, enrich product data, optimize supply chains, and modernize legacy systems, improving both customer experience and operational efficiency.

Models/tools

Zapia

Retail & e-commerce
Use case
Managing high message volumes
Context

Zapia, an AI assistant developed by BrainLogic, uses Anthropic's Claude on Google Cloud’s Vertex AI to engage in natural, localized conversations with Latin American consumers via messaging apps like WhatsApp. Claude's advanced multilingual support and understanding of regional dialects enable Zapia to assist users in discovering products, making purchases, and receiving support. Integration was quick, requiring minimal prompt engineering, allowing Zapia to scale rapidly to handle hundreds of thousands of messages per hour.

Models/tools

Zalando

Retail & e-commerce
Use case
Scaling personalized recommendations
Context

Zalando worked with OpenAI to develop the Zalando Assistant, an AI-powered tool powered by GPT-4o mini that provides personalized content recommendations and streamlines product discovery across 25 markets in over 20 languages. They enhanced their evaluation framework with component-specific evaluations and improved few-shot prompting, and migrated from GPT-3.5 to GPT-4o mini for better multilingual and instruction-following capabilities.

Models/tools
Explore industries

149

companies using

Data Agents

See All
Use case
Automated job title classification
Context

Aura Intelligence integrated Anthropic's Claude via Amazon Bedrock into its data pipeline to automatically classify over 200 million job titles and industry pairings from multi-language data, replacing manual lookups and fuzzy matching. They fine-tuned foundation models on proprietary datasets and leveraged AWS infrastructure, including SageMaker and prompt management, to automate QA, report generation, anomaly detection, and real-time hiring trend analysis.

Models/tools
...
2
Use case
Efficient engineering team management
Context

LaunchNotes leverages Claude in Amazon Bedrock in their product 'Graph' to transform engineering data into actionable insights. Graph functions as an ETL platform with Claude managing data pipelines, helping engineering managers understand development metrics, reduce incident identification time, automate updates, and generate customized release notes and technical documentation.

Models/tools
...
2
Use case
Faster data insights
Context

Snowflake integrated Anthropic's Claude into their platform to enable natural language queries on complex databases, allowing customers to extract insights without SQL expertise while maintaining security and governance.

Models/tools
...
2
Explore agents

226

solutions powered by

Microsoft

See All
Use case
Multilingual reading difficulties
Context

The school deployed Microsoft Reading Progress and Microsoft Immersive Reader, two AI-powered apps integrated within Microsoft Teams, to support individualized learning. The tools record reading sessions, provide real-time feedback on pronunciation and errors, and translate texts to enable comprehension across multiple languages. This setup streamlines classroom instruction, personalizes student learning, and reduces teacher workload.

Models/tools
...
2
Use case
Faster customer issue resolution
Context

Vodafone uses Azure OpenAI Service, Azure AI Foundry, Microsoft Copilot, and Azure AI Search to enhance their virtual assistant TOBi and develop SuperAgent to assist customer service agents. TOBi uses conversational AI to handle customer inquiries, while SuperAgent helps agents solve complex problems faster.

Models/tools
...
4
Use case
Faster oncology data extraction
Context

Ontada leveraged Microsoft’s Azure OpenAI Service Batch API and Azure AI Foundry to build its ON.Genuity platform, which processes 150 million unstructured oncology documents to automatically extract nearly 100 critical data elements across 39 cancer types. They integrated the new platform with their structured iKnowMed system using Azure Databricks for data ingestion and Azure Document Intelligence for text extraction, transforming manual chart review processes into an automated workflow that supports clinical decision-making and life science product development.

Models/tools
...
4
Explore AI providers

40

AI use cases in

South America

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
Scalable customer support
Context

Nubank implemented a custom AI-driven enterprise search solution by integrating GPT‑4o and GPT‑4o mini with fine-tuned domain-specific models and Retrieval-Augmented Generation techniques, enabling employees to access FAQs, policies, and internal documents rapidly. They also developed a call center copilot using GPT‑4o that integrates the bank’s knowledge base and chat history to provide real-time conversation summaries, next-reply suggestions, and step-by-step guidance for agents, and launched an AI assistant to handle Tier 1 inquiries. Furthermore, Nubank piloted a fraud quality assurance system using GPT‑4o vision to analyze transactions and visual data, ensuring robust fraud detection according to regulatory requirements.

Models/tools
...
3
Use case
Automated digital marketing
Context

Advolve, a B2B SaaS company, uses Claude from Anthropic as the central orchestrator of their AI platform to automate digital marketing across multiple platforms. Claude enables them to manage millions of ads simultaneously, automate workflows, generate creative assets and copywriting, and dynamically allocate budgets for optimal return on ad spend.

Models/tools
...
1
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Thoughts & ideas