- Consulting services
Zensar's Gen AI Data Buddy - DataOps
Revolutionize customer support with AI-powered solutions. Streamline processes, improve efficiency, and reduces costs by offering personalized support and knowledge management
Organizations often struggle with managing and searching through vast amounts of documentation, leading to inefficient problem-solving. The manual process of categorizing and prioritizing service requests can be time-consuming and error-prone, hindering response times and customer satisfaction. Identifying past support cases with similar issues can be challenging, leading to repetitive work and missed opportunities for knowledge sharing. Traditional support models often focus on reactive problem-solving, missing opportunities to anticipate customer needs and provide proactive solutions.
To address the above challenges, our Data Buddy – DataOps which is AI-powered customer support solution can be invaluable. Our powerful tool leverages Azure Open AI, Azure AI Search, Azure VMs (Virtual Machines) for its functioning. Our tool automates routine tasks, provides intelligent recommendations to agents, and enhances knowledge management to help organizations deliver superior customer experiences.
Offering from Zensar:Our team of AI experts and AI-driven efficiencies leverage Microsoft's Azure AI Search, Azure Open AI, and Azure VMs in this tool and helps businesses deliver high-quality, faster, personalized and smarter customer support . Data Buddy: DataOps is a collaborative effort with Microsoft, powered by Azure AI Search’s advanced search and retrieval capabilities coupled with Azure Open AI’s intelligent response generation and knowledge base augmentation . Developed with the usage of Azure VMs, it offers a scalable and flexible infrastructure for hosting the tool and storing the required data. Thus, the various Microsoft tools have been used efficiently to develop a comprehensive customer support solution.
5-day-Assessment: Through a hands-on assessment, we'll gain a deep understanding of your organization's data landscape, existing customer support process and identify areas where our DataOps tool can make a significant impact. We'll demonstrate the tool's capabilities, explore potential use cases, and quantify the expected benefits in terms of efficiency, cost savings, and improved customer satisfaction.
Our tool empowers customer support teams to deliver exceptional service and improve operational efficiency. By automating routine tasks, providing intelligent recommendations, and enhancing knowledge management, it can significantly reduce average handling time, increase first contact resolution rates, and lower operational costs . This allows businesses to focus on high-value activities, improve customer satisfaction and gain a competitive advantage.
For example, in our experiments we found that using DataOps can reduce operational costs by up to 35%. This can lead to significant benefits for businesses, such as improving resource productivity and enhanced customer satisfaction by about 25%
DataOps is a valuable tool for optimizing overall customer support operations . By efficiently managing and analyzing past incident data, our tool enables organizations to gain valuable insights, improve decision-making, and deliver personalized support. This can be used for analytics, segmentation, and identifying areas for process improvement.
Our DataOps tool also provides a centralized repository for knowledge management , leading to improved access to information and reduced response times. . It also enables powerful search capabilities and fostering a culture of knowledge sharing.
In summary, DataOps is a unique approach as it offers a comprehensive and data-driven solution for customer support. Our tool uses knowledge graph management and machine learning techniques to optimize customer interactions and improve support team’s efficiency. It covers a wide range of use cases, from automated ticket routing to self-service enhancement. and also provides valuable insights for businesses to make informed decisions.