Manufacturing and CPG
Demand sensing and forecasting: Designing a unified solution for retail and manufacturing use cases
The 4 Ws of customer retention: A data-driven approach for Retail and CPG industries
Manufacturing trends for 2024
Inventory allocation optimization starter kit
AI-assisted price management and optimization solution
AI-assisted promotion management and optimization solution
Demand sensing and forecasting starter kit
The rise of industry electrification in supply chain and manufacturing: Leveraging AI and digital capabilities
Software-led transformation of modern automobiles
AI product design acceleration
Inventory allocation optimization for membership-based wholesale retailers
Exploring the transformative impact of generative AI in manufacturing
Supply chain resilience: A modular framework for sailing through disruption
Fulfilling German supply chain due diligence act obligations
How generative AI elevates customer engagement in B2C manufacturing and retail
Manufacturing supply chain redesign and reconfiguration for resilience
Supply chain monitoring for proactive supplier risk management
GenAI Catalog Optimization Solution
Supply chain sustainability: Esg path to manufacturing resilience
Driving the future of enterprise AI with Grid Dynamics and Google Cloud
How cloud-based automotive experience engineering ensures integrated ecosystems for a superior ride
Why supply chain cyber security is essential for resilience
Supply chain resilience starts with data
5-step strategy for IT/OT cloud cost optimization in manufacturing
A guide to supply chain control tower use cases
Visual quality control in additive manufacturing: Building a complete pipeline
KPIs for pharmaceutical manufacturing operations
Transform your product design processes and personalization services with generative AI
IoT platform: A starter kit for Azure
From buzzword to business reality: An industry framework for generative AI readiness
From chaos to control: The benefits of inventory allocation optimization
Driving the future of automotive manufacturing with cloud-native analytics
From design to delivery: The role of artificial intelligence in the automotive industry
Smart manufacturing: Navigating change management, automation, and governance in the cloud
Inventory allocation optimization: A pre-built solution for Dataiku
How a Fortune 500 manufacturer reduced time-to-market for industrial tools using a data observability framework
Building a visual quality control solution in Google Cloud using Vertex AI
Optimization of order and inventory sourcing decisions in supply chains with multiple nodes, carriers, shipment options, and products
Building an IoT platform in GCP: A starter kit
IoT platform: A starter kit for AWS
Visual quality control with AWS Lookout for Vision
Building a predictive maintenance solution using AWS AutoML and no-code tools
How explainable AI helped reduce warehouse order picking time by 1/4
How anomaly detection, predictive maintenance, and visual quality control save time and money
Quality 4.0: Reimagining AI-powered quality control for smart manufacturing
Anomaly detection in industrial IoT data using Google Vertex AI: A reference notebook
Smart manufacturing from the factory floor to the customer’s door
Supply chain and inventory
Smart manufacturing and IoT
Why you need a cloud-native analytics platform for smart manufacturing
Detecting anomalies in high-dimensional IoT data using hierarchical decomposition and one-class learning
Reimagining resilience: Supply chain optimization for smart manufacturing
Grid Dynamics analytics platform for smart manufacturing: A Jabil case study
How to identify vehicle tires using deep learning visual models
A digital go-to-market strategy for forward-thinking manufacturers
Consumer-driven manufacturing requires a consumer-centric customer experience
Top 3 manufacturing trends in 2022: Accelerating smart manufacturing
Anomaly detection in industrial applications: Solution design methodology
Visual search: How to find manufacturing parts in a cinch
Loss prevention with AI-powered IoT analytics platform on AWS
Anomaly detection for Industry 4.0
Industrial label recognition made easy with AutoML
Add anomaly detection to your data with Grid Dynamics starter kit
Multi-agent deep reinforcement learning for multi-echelon supply chain optimization
The adoption of AI for price and promotion management in retail and manufacturing
AI for retail and consumer goods manufacturing
A rapid response to COVID-19 supply chain and market shocks
Unsupervised real time anomaly detection
A rapid response to COVID-19 supply chain and market shocks: Emerge from the crisis stronger
Deep reinforcement learning for supply chain and price optimization
Identifying screws, a practical case study for visual search
