Announcing Jumpstart Agora "Contoso Hypermarket" scenario

Today, we are excited to introduce our newest Jumpstart Agora scenario - Contoso Hypermarket! This marks an exciting milestone as the third scenario in Jumpstart Agora, joining the Contoso Motors and Contoso Supermarket scenarios. Each scenario highlights unique industry-specific use-cases powered by Azure Arc and Azure AI services, and we are proud of how these offerings continue to demonstrate the versatility and transformative potential of our technology.

Meet Contoso Hypermarket

The Contoso Hypermarket scenario brings together an impressive range of technologies to address both retail and industrial manufacturing needs, making it much more than just a "retail scenario." This scenario bridges the gap between customer experience and operational excellence, supporting diverse use cases, including:

• Real-time footfall inferencing and shopper insights
• Generative AI for commercial and operations assistance
• Commercial and operations assistance with Speech-to-Text (STT)
• Observability for system health and performance monitoring
• Commercial sales edge-to-cloud data pipeline and reporting
• OT edge-to-cloud data pipeline and reporting
• Predictive inventory and operations analytics with Generative AI

This scenario demonstrates how Contoso leverages AI-driven shopper analytics for real-time customer insights, enabling smarter marketing, optimized product placement, and efficient inventory management. With AI and IoT solutions for real-time error detection and automated checkout monitoring, Contoso Hypermarket offers a powerful model for improving retail operations and customer experiences.

Contoso Hypermarket technology stack and operations overview

Scenario Highlights

Contoso Hypermarket uses an AI technology stack, services, and processes to support their digital transformation. A set of reference use-cases is included with the Jumpstart Agora Contoso Hypermarket scenario.

• Retrieval-augmented generation (RAG) - Use natural language query (NLQ) to work with Contoso industrial assets, infrastructure, and data to support frontline workers and corporate personnel.
• Computer vision for shopper insights - Computer vision using tuned inferencing models provides advanced shopper insights like foot traffic patterns, dwell time, product interaction, and demographic analysis.
• Speech-to-Text (STT) - Converts spoken language into written text to facilitate customer service interactions, transcribe meetings, and support voice-activated commands for in-store assistance.
• IoT at the Edge - Manages IoT devices and sensors at the edge with Azure IoT Operations to collect and process data in real-time, enabling predictive maintenance, inventory tracking, and enhanced operational efficiency.
• Predictive inventory and operations analytics with Microsoft Copilot - Analyzes sales and inventory trends and provides forecasting insights for optimizing inventory and sales.
• Edge-to-cloud data pipeline - Seamless data integration between IoT devices at the edge, customer, and business data, and Microsoft Fabric, aggregating real-time shopper insights, centralized data management, predictive maintenance, and enhanced decision-making capabilities and enabling advanced data insights.

Contoso Hypermarket customer web interface

Contoso Hypermarket store manager interface

Contoso Hypermarket maintainer worker interface

Introducing Jumpstart Cerebral

As part of the Contoso Hypermarket scenario, we’re also introducing Jumpstart Cerebral, an AI framework designed to enhance decision-making and problem-solving across industries. Powered by Azure OpenAI, Cerebral enables real-time insights and natural language interactions at the edge. For more details on how Jumpstart Cerebral can transform your operations, be sure to check out our dedicated blog post.

Jumpstart Cerebral logo

Getting Started

The Jumpstart Agora Contoso Hypermarket scenario is now available! If you have any questions or suggestions, feel free to engage with us through Jumpstart GitHub Discussions or by opening an issue in the Jumpstart GitHub repository.  Your input drives our continuous improvement and innovation.