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Find out how artificial intelligence helps to analyse customer feedback, identify trends and improve satisfaction amongst key accounts through a combination of AI, data and expert knowledge.
Artificial intelligence (AI) has become an accessible and integrated everyday tool, enhancing clarity, focus, and knowledge utilization in work processes. The real skill in using AI lies in knowing how to ask questions, interpret, cross-check, adapt, and transform answers into real value, rather than simply accepting initial results. AI is viewed as a tool that enhances professional judgment when applied methodically and with a critical eye, rather than replacing it. At Telef贸nica, a technology and digital company, innovation is integral to their operations. In customer satisfaction, tools that enable closer customer listening, pattern detection, and accelerated continuous improvement are thoroughly explored to achieve excellence.
At Satisfacci贸n GGCC, valuable information is derived directly from major customers' feedback, including interviews, comments, and nuances, offering insights into their perceptions, expectations, and areas for improvement. The key challenge is transforming this raw information into actionable knowledge for decision-making. Information technology previously assisted with administrative tasks like arranging interviews and organizing questionnaires, and now integrates various interaction formats (phone, Teams, face-to-face, online). AI adds value by speeding up information processing, organizing content, identifying recurring themes, summarizing qualitative opinions, and streamlining report production. This approach emphasizes leveraging technology to free up time for interpreting, prioritizing, and implementing meaningful improvements, rather than engaging in uncontrolled automation.
The application of AI in report generation for Key Accounts follows a structured process where the customer interview remains central. The process involves recording interviews according to established permissions, transcribing the content into text for a verifiable record, and then processing this transcript using AI models based on predefined rules. This leads to the extraction of quantitative and qualitative results aligned with the questionnaire and report structure. A crucial final step is human review to validate conclusions, correct deviations, and ensure the analysis accurately reflects customer feedback. While AI can summarize and classify, expert knowledge is indispensable for contextualizing comments, distinguishing relevant information from incidental details, and avoiding simplistic interpretations, recognizing that customer satisfaction deals with complex relationships, expectations, and experiences.
The process is in a continuous learning and refinement phase, with each system version improving AI's accuracy and identifying areas needing more context or prone to errors. This involves reviewing results for potential 'hallucinations,' refining instructions, correcting incomplete analyses, and ensuring alignment with the interview's reality. The goal is to produce consistent, traceable, and useful reports, prioritizing quality alongside efficiency. Effective AI use aims to reduce repetitive tasks, standardize criteria, and free up time for analysis without compromising accuracy or sensitivity to the customer's voice. Establishing clear rules for information inclusion, comment summarization, data presentation, detail levels, and approval checks is crucial to enhance results and minimize misinterpretation risks.
The true power of this analytical approach emerges when insights are translated into action. AI is instrumental in detecting trends, grouping common concerns, identifying at-risk customers, highlighting best practices, and uncovering recurring themes across various interviews, enabling more effective prioritization and action focused on customer experience impact. In Key Accounts, where customer relationships are strategic, active listening alone is insufficient. The ability to understand, anticipate, and respond is vital. Technology serves as an ally in accelerating analysis, but the ultimate difference is made by human capability to convert these insights into concrete decisions, improvement plans, and effective follow-up actions.
AI offers a significant opportunity to evolve customer feedback and satisfaction analysis, enabling more agile operations, better utilization of information, and enhanced active listening to key accounts. Its ultimate value, however, hinges on methodical integration, human review, quality controls, and a clear focus on continuous improvement. The primary objective is to boost effectiveness and efficiency, and more importantly, to detect the customer's voice more frequently and accurately. By combining AI's processing power with business knowledge and team sensitivity, Telef贸nica aims to drive improvement initiatives and achieve excellence in its Key Account relationships.
Transforming the customer experience necessitates a blend of technology, talent, and business acumen. Telef贸nica is committed to providing customers with advanced digital capabilities through superior connectivity, continuous innovation, and the responsible application of technologies like artificial intelligence. Aligning with its corporate value proposition, Telef贸nica aims to be the leading gateway for citizens to digital technologies, fostering an innovative and competitive company that delivers enhanced services, builds trust, and contributes to strengthening technological sovereignty.