AI case study

Unified data analytics

by
Flora Food Group
Context

Flora Food Group deployed Microsoft Fabric to consolidate multiple analytics tools into a single, unified platform, streamlining data management, reporting, and analytics under one architecture.

Results

Improved cost efficiency, enhanced reporting capabilities, and more detailed insights to customers

Results not reported in the source
Region
Europe
Published
October 11, 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

13

AI use cases in

Consumer Goods

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The Estée Lauder Companies

Consumer Goods
Use case
Analyzing massive consumer data
Context

The Estée Lauder Companies, a global leader in prestige beauty, adopted ChatGPT Enterprise and created over 240 custom GPTs. These GPTs help employees query large consumer and clinical trial datasets in plain English, reducing manual data handling and speeding insight generation. They also support on-brand copywriting and vendor data analysis, enabling faster, data-driven product development and marketing.

Models/tools

Ferrero Group

Consumer Goods
Use case
Personalized storytelling for families
Context

Ferrero Group's Kinder brand is leveraging Microsoft Azure OpenAI to create Let's Story, an e-book platform allowing families to personalize stories via the Applaydu app. It generates over 40,000 different stories combining text, audio, and illustrations in 15 languages, enhancing children's learning and storytelling skills.

Models/tools

Campari Group

Consumer Goods
Use case
Enhance productivity and innovation
Context

Campari Group adopted Microsoft 365 Copilot to leverage generative AI for competitive advantage. Through training and gradual implementation, employees integrated Copilot into workflows, saving time on routine tasks like email management, meeting preparation, content creation, and skill acquisition.

Models/tools
Explore industries

116

companies using

Data Agents

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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
Use case
Automated financial research
Context

Rogo, an AI finance platform, uses OpenAI's GPT-4 to provide real-time financial intelligence to investment professionals, automating tasks like meeting prep, company profiling, and market research. By fine-tuning OpenAI's models and integrating financial datasets like S&P Global, Crunchbase, and FactSet, Rogo helps shift focus from manual work to high-value decision making.

Models/tools
...
1
Explore agents

143

solutions powered by

Microsoft

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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 medical report generation
Context

Medigold Health, a UK occupational health provider, used Microsoft Azure OpenAI Service to automate medical report generation, reducing the time clinicians spend on paperwork. By integrating Azure OpenAI Service with Azure App Service, Azure Cosmos DB, and Azure SQL Database, they developed an AI application that generates reports from clinicians' consultation notes in about 15 seconds, allowing clinicians to focus more on patient care.

Models/tools
...
1
Use case
Faster writing of appeal letters
Context

Acentra Health developed MedScribe, a web app that uses Azure OpenAI Service to generate draft letters responding to healthcare service appeals.

Models/tools
...
1
Explore AI providers

105

AI use cases in

Europe

See All
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 medical report generation
Context

Medigold Health, a UK occupational health provider, used Microsoft Azure OpenAI Service to automate medical report generation, reducing the time clinicians spend on paperwork. By integrating Azure OpenAI Service with Azure App Service, Azure Cosmos DB, and Azure SQL Database, they developed an AI application that generates reports from clinicians' consultation notes in about 15 seconds, allowing clinicians to focus more on patient care.

Models/tools
...
1
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
...
1
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