Retailers boost efficiency and service through AI-powered automation
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.
Reported outcomes
Strategic outcomes
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.
- Improved demand forecasting accuracy and inventory management.
- Reduced support and operational costs via 24/7 AI chatbots.
- Faster deployment of retail applications thanks to optimized CI/CD.
- Increased customer satisfaction from more tailored shopping experiences.
- 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.
Implementation partners1
Sources & evidence1
The same organization appears in newer AI deployment evidence.
- Same organization re-documented as recently as 2025.
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