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AI (Artificial Intelligence) Copilot for Superior Customer Service in Logistics

Customer service influences every industry, and it similarly impacts the logistics sector. Given that modern supply chains are vast and complex, comprising an intricate network of stakeholders from manufacturers to distributors, poor customer service can exacerbate this complexity, leading to inefficiencies and significant disruptions. Moreover, it can severely affect client loyalty, impeding the growth of logistics organizations and resulting in loss of business, ultimately tarnishing the company’s reputation. In this blog, we will discuss the significance of customer service in logistics and the role of AI as a copilot for a superior logistics customer experience.   

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Benefits of Automation in Freight Management system

Benefits of Automation in Freight Management System

Freight management is a specialty area within supply chain management that concentrates on logistics and transportation. To ensure the efficacy of supply chain operations overall, it entails critical tasks such as route optimization, carrier selection, shipment tracking, and freight cost control. The transformation of freight management operations depends on the field’s continuing technological advancements, including those in machine learning, big data, artificial intelligence (AI), RPA, IoT, and blockchain.

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Microsoft Azure Security Services

How Microsoft Azure Security Services is reshaping the Future of Financial Services ?

Financial service providers are spending a lot of money creating and growing their digital offerings. They are welcoming blockchain, AI, and machine learning technologies with open arms. These transformative changes are not merely reshaping financial services but are also giving rise to entirely new financial ecosystems. In this blog, we’ll explore how Microsoft Azure, a powerful technology, is making a big difference in the finance world. We’ll see how it makes things more secure, helps analyze data better, and plays a crucial role in the future of finance.

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Build Cross-Platform and Native mobile Apps with Microsoft Azure

Mobile apps have evolved significantly over the last decade to keep up with the rapid improvements in technology, moving from simple features to transformative experiences. When cell phones first came out, their apps were limited to basic functions like calculators and calendars. However, the real game-changer was the rise of app stores, especially Apple’s and Google’s. Now, we’re in an era where these stores boast a jaw-dropping 35-36 billion app downloads per quarter, according to Statista.

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microsoft power apps for developer

How to bring your own AI model to Microsoft power apps?

Artificial intelligence (AI) is shifting the landscape of commercial applications, impacting innovation, and upending sectors. AI is being used by companies across all sectors to boost employee productivity, streamline operations, and introduce cutting-edge products and services. Artificial Intelligence (AI) can automate monotonous cognitive tasks, guide employees in refining their talents, and even serve as an idea for producing fresh content. In the area of knowledge management, artificial intelligence (AI) makes access and organization easier.

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How Microsoft Power Platform Reshapes Organizational Dynamics?

The persistent advancement in technology has brought about a profound transformation in the functionality of organizations. In this modern era, businesses have undergone a significant transformation, opting for modern technological solutions over traditional methods in their operational strategies. Recently, there has been a noticeable shift in the business environment toward the use of new technology to achieve more efficient and successful operations. This shift is primarily motivated by the long-term objective of reducing resources with cost-effective alternatives. The Microsoft Power Platform services are a prominent option among the many available solutions. With the use of this platform, organizations can improve productivity, streamline workflows, and gain insightful knowledge from their data.

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