Demand sensing and forecasting: Designing a unified solution for retail and manufacturing use cases
Manufacturing trends for 2024
Inventory allocation optimization starter kit
AI-assisted price 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
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
Manufacturing supply chain redesign and reconfiguration for resilience
Supply chain monitoring for proactive supplier risk management
Supply chain sustainability: Esg path to manufacturing resilience
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
IoT platform: A starter kit for Azure
From chaos to control: The benefits of inventory allocation optimization
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
Streamlining the supply chain: Strategies for optimal grocery retail operations
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
Capturing the value of IoT across industries
How explainable AI helped reduce warehouse order picking time by 1/4
AI-powered risk prevention in the P&C insurance industry
How anomaly detection, predictive maintenance, and visual quality control save time and money
How insurtechs are transforming the insurance industry
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
Price and promotion optimization
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
Top 3 manufacturing trends in 2022: Accelerating smart manufacturing
Anomaly detection in industrial applications: Solution design methodology
Loss prevention with AI-powered IoT analytics platform on AWS
Anomaly detection for Industry 4.0
What are the key challenges in wearable device testing?
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
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
Will “Database as a Service” work for retail inventory management? A case study
Safety stock optimization for ship-from-store
A guide to dynamic pricing algorithms
Algorithmic pricing, part III: Implementation blueprint
Algorithmic pricing, part II: AI and pricing strategy
Algorithmic pricing, part I: The risks and opportunities
