Sure, here’s the translation into American English:
Companies are facing increasing challenges in managing and leveraging their data, a crucial aspect in an increasingly competitive market. According to a recent report, by 2024, 78% of organizations will use artificial intelligence (AI) in at least one business function, highlighting the growing importance of these solutions. Additionally, 21% of companies that are already using generative AI have fundamentally redesigned their workflows, reflecting the transformative impact of AI on business operations.
The retail sector has emerged as a key area for investment in AI-driven analytics and reporting. Most large retailers plan to deploy or scale solutions within the next 12 to 18 months, seeking effective integrations with their existing systems to address the complexity of the data they handle. Amazon Q Business is an example of such customizable solutions. This system offers advanced AI algorithms that analyze historical data and current trends, enabling companies to effectively prepare for seasonal demand fluctuations.
Amazon Q Business for Retail Intelligence acts as an AI-driven assistant designed to optimize operations, enhance customer service, and facilitate decision-making processes across businesses of various sizes. The architecture of this system transforms how retailers interact with their data through generative AI. Its integration with Amazon QuickSight provides visualizations that offer actionable insights throughout the entire retail value chain.
Users can create custom applications via Amazon Q Apps that streamline daily tasks and automate workflows. The platform offers a secure and reliable environment for natural language interactions, making it easier to access complex data. From senior executives to marketing analysts, all members of an organization can leverage interactive visualizations and real-time data analysis to make more informed decisions.
Among the standout features of Amazon Q Business is the ability for executives to access performance metrics in a centralized manner, facilitating comparisons and in-depth analyses. Merchandising planners can conduct sales trend analyses, while inventory managers optimize stock levels based on accurate data.
In conclusion, Amazon Q Business for Retail Intelligence transforms how retailers face the challenges stemming from data management by offering an AI-powered assistant accessible at all levels of the organization. This solution not only democratizes access to information but also supports faster and more informed decision-making, establishing itself as an essential tool in today’s competitive retail environment.
Referrer: MiMub in Spanish
