AI case study

Faster property search

by
syte
Context

syte built an AI-driven property platform by integrating Google Cloud’s BigQuery to consolidate data from a data lake and execute rapid spatial queries across 25 million properties, reducing search response times from 60 seconds to around 2 seconds. They further enhanced processing by employing Compute Engine for parallel processing of massive LiDAR datasets and Kubernetes Engine to deploy and scale web applications, streamlining property analysis and re-densification workflows.

Results

2 sec search response; data processing from 1 year to 1 week; ~40% improved productivity

Results not reported in the source
Region
Europe
Published
September 18, 2024
Agent type
Data Agents
AI provider
Google
Models/tools
Not disclosed
ICE score
567
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
9
Confidence
9
Ease
7

20

AI use cases in

Manufacturing & Construction

See All

Dow

Manufacturing & Construction
Use case
Accurate shipping invoicing
Context

Dow implemented Microsoft 365 Copilot to empower teams with AI-driven insights and automate freight invoice analysis. They deployed two supply chain agents – a prompt-and-response agent for real-time invoice review and an autonomous agent via Copilot Studio to process PDF invoices automatically, integrating these into logistics operations to optimize billing and cost management. This solution streamlined workflows and improved process accuracy across departments.

Eaton

Manufacturing & Construction
Use case
Faster SOP creation
Context

Eaton, a global power management company, adopted Microsoft 365 Copilot to automate the creation of 1,000 standard operating procedures (SOPs) and improve data access across teams. Copilot helps teams work more efficiently, focus on strategic tasks, and facilitate smooth onboarding.

Models/tools

ABB Group

Manufacturing & Construction
Data Agents
Quick win
Use case
Easier insight extraction
Context

Integrated generative AI into ABB Ability Genix to power Genix Copilot, enabling natural language queries for real‑time industrial data insights.

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

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

153

AI use cases in

Europe

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
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
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
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Thoughts & ideas