What challenges did Charter Global face before AI implementation?

Inaccurate demand forecasting affected inventory strategies. Inefficiencies in logistics and supplier management hampered growth. Supply chain disruptions raised shipping costs and damaged profitability. Global operations created complexities in visibility and decision-making.

What was the impact of the AI solution?

Improved demand forecasting accuracy by up to 15%. Reduced delivery times by 20%. Achieved 25% savings in transportation costs. Increased inventory efficiency and customer satisfaction.

Source

MicrosoftProductionEvidence: Medium50/100

Charter Global advances retail supply chains with Azure AI-driven forecasting

Use case typeInventory optimizationUpdated Jun 13, 2026

Charter Global has partnered with Microsoft to deploy Microsoft Azure AI and cloud technologies for retail supply chain optimization. The solution addresses common issues of demand forecasting, inventory management, and logistics efficiency by implementing AI-powered analytics, chatbots, and IoT-based tracking. Artificial Intelligence supports accurate forecasting of demand, optimization of inventory levels, and improved visibility into product movement and supplier relationships. Retailers operating global supply chains benefited from improvements like 15% better demand forecasting, 20% faster delivery times, and 25% cost reduction in transportation. By embedding Azure Cognitive Services and Power Automate, Charter Global enables retailers to handle disruptions more effectively and supports automation throughout the supply chain process. The result is leaner inventories, lower shipping costs, and high customer satisfaction.

Organization: Charter Global
Industry: Retail
Location: Global
Published: March 2025

Reported outcomes

−20%

timeTime & speed

+15%accuracy−25%cost

Strategic outcomes

New product / capabilityAI-driven demand forecasting and inventory optimizationCustomer experience & trustImproved customer and supplier communicationsSpeed & agilityReal-time product tracking and logistics optimizationCustomer experience & trustIncreased inventory efficiency and customer satisfaction

Catalog median for time & speed deployments: −50% across 312 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Accuracy: 15% increase

charterglobal.comMar 11, 2025UnknownInferred claimMedium evidence strength

Improved demand forecasting accuracy by up to 15%.

Normalized claim

Time: 20% decrease

charterglobal.comMar 11, 2025UnknownInferred claimMedium evidence strength

Reduced delivery times by 20%.

Normalized claim

Cost: 25% decrease

charterglobal.comMar 11, 2025UnknownInferred claimMedium evidence strength

Achieved 25% savings in transportation costs.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Charter Global
Provider: Microsoft
Maturity: Production
Linked source: charterglobal.com

Deployed AI-powered chatbots for customer and supplier communications

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1AI-Driven Retail Demand Forecasting
2Automated Inventory Management in Retail
3Logistics Optimization with IoT

Inaccurate demand forecasting affected inventory strategies.
Inefficiencies in logistics and supplier management hampered growth.
Supply chain disruptions raised shipping costs and damaged profitability.
Global operations created complexities in visibility and decision-making.

Implemented demand forecasting and inventory optimization using Microsoft Azure AI and Cognitive Services.
Deployed AI-powered chatbots for customer and supplier communications.
Leveraged IoT and Power Automate for real-time product tracking and logistics optimization.
Provided scalable, cloud-based AI solutions for dynamic supply chain environments.

Technologies

Microsoft Azure AI Azure Cognitive Services Power Automate

Improved demand forecasting accuracy by up to 15%.
Reduced delivery times by 20%.
Achieved 25% savings in transportation costs.
Increased inventory efficiency and customer satisfaction.

Architecture

Microsoft Azure AI and Cognitive Services are integrated with retail management systems for demand forecasting and inventory optimization. Power Automate orchestrates real-time data flows between suppliers, inventory, and logistics networks, while chatbots handle communication with customers and vendors.

Sources & evidence1

Evidence: Medium50/100Evidence strength