The retail industry is undergoing significant transformation, shaped by evolving customer expectations, rising competition, and the increasing demand for digitalization. Retailers face unique challenges that demand innovative solutions, from optimizing supply chains to enhancing personalized customer experiences. AWS stands at the forefront of this retail evolution, offering a wide range of cloud services that empower retailers to improve operational efficiency, drive customer engagement, and accelerate innovation.
With a deep understanding of the retail sector, Tiger Analytics and AWS provide a powerful solution for everything from inventory management and personalized shopping experiences to data-driven marketing and seamless omnichannel integration. Leveraging the power of AWS cloud, retailers can scale faster, streamline operations, and deliver dynamic, real-time solutions to meet ever-changing consumer demands.
Personalized Customer Experiences
Enables retailers to deliver highly personalized shopping experiences by leveraging machine learning and AI. With services like Amazon Personalize, retailers can recommend products, offer tailored promotions, and optimize content based on customer preferences and behavior, enhancing customer satisfaction and increasing conversion rates.
Supply Chain Optimization
Tools to help retailers streamline and optimize their supply chain. Services like Amazon Forecast and AWS IoT allow real-time inventory tracking, demand forecasting, and predictive analytics. This enables retailers to reduce stockouts, prevent overstocking, and improve overall supply chain efficiency.
Data-Driven Insights for Marketing
Helps retailers harness the power of data for more effective marketing. By using services like Amazon Redshift and Amazon QuickSight, retailers can analyze customer data, generate actionable insights, and run targeted marketing campaigns. These data-driven strategies enable better decision-making, higher ROI, and enhanced customer targeting.
Fashion & Home Decor Retailer: Catalog Modeling and Report Generation Pipelines
A leading Fashion Retailer reached out to Tiger Analytics to drive their transformation initiative. Discover how Tiger overhauled the customer’s data infrastructure, enhancing operational efficiency, and enabling data-driven decision-making across the organization. Read the case study to know more.
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How Data Engineering Enabled a Global Retailer to Achieve Faster Insights and Cost Optimization
A global retailer modernised its data infrastructure on AWS, using services like Glue and Redshift to build automated, scalable data pipelines and a data lake. This delivered fresher data, faster insights through interactive QuickSight dashboards, and significant cost optimization.
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