What challenges did T-Mobile face before AI implementation?

Need for accurate forecasting of retail demand and inventory. Growing expectations for personalized shopping and tailored campaigns. Operational inefficiencies due to manual processes and inconsistent asset tracking. Reducing costs and time-to-market for retail software and app releases. Providing 24/7 customer service with limited staff resources. Ensuring accessibility and infrastructure resilience for global user base.

What was the impact of the AI solution?

Reduced support and operational costs via 24/7 AI chatbots. Expanded accessibility for all users, including those with disabilities. Strengthened infrastructure, reducing downtime and enhancing business continuity.

Source

MicrosoftExpandedProductionEvidence: Low40/100

Retailers boost efficiency and service through AI-powered automation

Use case typeCustomer personalizationUpdated Jun 13, 2026

Akvelon, a Microsoft partner, leverages Dynamics 365 and Azure AI to transform retail operations with advanced forecasting, marketing personalization, and asset tracking. Their projects focus on optimizing finance and operations, enhancing accessibility, and implementing robust CI/CD for continuous delivery and improved app performance. For T-Mobile and other retailers, Akvelon's solutions cover demand forecasting, personalized campaign management, customer journey customization, and real-time asset tracking for greater operational efficiency. Generative AI chatbots are deployed for 24/7 customer service, reducing support costs and improving customer experience. Teams employ AI and DevOps methodologies to introduce efficiency gains into the pipeline, improve infrastructure health, and decrease resolution times. The collaboration with Microsoft includes scaling Dynamics 365 for accessibility and global use, as well as upgrading infrastructure for more resilient, accessible, and inclusive systems. AI/ML-driven analytics and automation elevate decision making, while streamlined QA/testing lowers costs and accelerates product releases. The combination of AI innovation, DevOps, and automation drives higher operational performance and customer satisfaction. Akvelon’s international reach and focus on retail modernization is supported by close partnership with Microsoft to deliver state-of-the-art retail technology solutions.

Organization: T-Mobile
Industry: Retail
Location: Global
Published: October 2024

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

Customer: T-Mobile
Provider: Microsoft
Maturity: Production
Linked source: linkedin.com

For T-Mobile and other retailers, Akvelon's solutions cover demand forecasting, personalized campaign management, customer journey customization, and real-time asset tracking for greater operational efficiency

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 4

1Demand Forecasting Optimization with AI
2Personalized Retail Marketing Campaigns
3Real-time Asset Tracking in Retail

Need for accurate forecasting of retail demand and inventory.
Growing expectations for personalized shopping and tailored campaigns.
Operational inefficiencies due to manual processes and inconsistent asset tracking.
Reducing costs and time-to-market for retail software and app releases.
Providing 24/7 customer service with limited staff resources.
Ensuring accessibility and infrastructure resilience for global user base.

Implemented 'Dynamics 365' and 'Azure' to standardize retail and finance operations.
Integrated AI for demand forecasting, campaign management, and personalization.
Deployed generative AI chatbots for 24/7 customer support.
Optimized CI/CD pipelines using Azure for continuous delivery and rapid issue resolution.
Enhanced system accessibility for users with disabilities.
Utilized AI-driven analytics for real-time asset tracking and operational insights.

Technologies

Dynamics 365 Azure AI

Reduced support and operational costs via 24/7 AI chatbots.
Expanded accessibility for all users, including those with disabilities.
Strengthened infrastructure, reducing downtime and enhancing business continuity.

Architecture

Dynamics 365 serves as the operational backbone. Azure enables AI-driven analytics and CI/CD automation. AI chatbots are implemented for customer support. Power BI (if present) would consume data for reporting. Asset tracking solutions leverage AI and IoT if available. Accessibility improvements are integrated natively into Dynamics 365.

Sources & evidence1

Evidence: Low40/100Evidence strength