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Consumer Market Ecosystem
Accelerating Retail Success through Smooth and Secure Data Migration.
About
- Retail comprises a wide range of sectors, including food and beverage, clothing, electronics, home goods, and luxury products.
- Technology integration, personalization, omnichannel strategies, and sustainability are reshaping the retail landscape.
- The industry thrives on understanding and catering to consumer preferences, emphasizing convenience, variety, and quality.
Challenges
The retail industry faces significant Technological Challenges as it strives to meet evolving consumer demands and competitive pressures. Despite advancements, many retailers struggle with integrating modern technologies effectively.
- Difficulty in leveraging AI and ML to provide real-time, personalized shopping experiences across multiple channels.
- Limited visibility and control over inventory and logistics due to fragmented systems, resulting in overstocking, stockouts, and delays.
- Challenges in seamlessly blending online and offline experiences to meet customer expectations for convenience and flexibility.
- High costs and complexity associated with implementing IoT, robotics, AR/VR, and other advanced technologies hinder widespread adoption.
Goal
To provide a well-organized solution for the team which includes.
- Leverage Data for Insights: Build robust data analytics capabilities to derive actionable insights from customer behavior and operational metrics while ensuring data security and compliance.
- Enhance Customer Experience: Implement AI-driven personalization to offer tailored recommendations, seamless shopping journeys, and efficient customer service across all channels.
- Adopt Advanced Automation: Utilize robotics, autonomous systems, and smart devices to optimize in-store operations, order fulfillment, and delivery processes, enhancing speed and accuracy.
Solution
- Audit, Logs and analytics data migration to cloud data lake
- Modernize and manage use case execution using data bricks
- Schedule data pipeline to pull delta data from multiple sources
- Data visualization on Power BI dashboard underline data from Synapse
Conclusion
- Save huge cost by decommissioning physical On-prem infrastructure and eliminate license cost
- Optimize application and BI/BO performance by distributing data in cloud SQL, data lake and data warehouse
- Improve analytics query performance by 40%
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