
customer service,
Published on Thu May 15 2025
Updated on Fri Aug 08 2025
4 minute read
The customer service landscape constantly evolves, and businesses are continually looking for new ways to improve their customer experience. In 2023, the year when the AI revolution started, one of the most groundbreaking innovations in customer service is real-time automated translation powered by AI. This solution has recently been recognized by the European Contact Center Customer Service Awards (ECCCSA) when Transcom, Parloa, TUI, and Nextory won an award for Best Innovation in Customer Service. Real-time automated translation is a technology that allows businesses to provide customer service in multiple languages, in both text and voice channels. This is a huge advantage for companies that want to provide support in multiple languages because it eliminates the language barrier between their support teams and customers. Automated Translation is powered by AI, which allows it to learn and adapt over time. This means that its accuracy is constantly improving. As a result, you can be confident that your customers will receive accurate and helpful support, even if they speak in a language your agents don’t speak. Here are some of the benefits of real-time automated translation for customer service:


Created at Fri Oct 09 2026
10 min read
Customer satisfaction might be key to long-term business success, but satisfying today’s CFOs and board members to secure the necessary investments takes hard financial evidence. Discover what CX ROI really means in financial terms and why it’s so critical to your bottom line. We break down the four-step framework you’ll need to measure it in practice - from establishing baselines and determining CX levers, to linking them to financial outcomes and calculating net returns. We’l

Created at Mon Sep 28 2026
4 min read
DeepSeek was only founded in 2023. The company is based in Hangzhou, an important port city in Eastern China that has been a strategic hub along the Silk Roads for thousands of years. DeepSeek has been building large language models (LLMs) since the company was created, but the[ 2025 release of their R1 LLM challenged](https://www.techtarget.com/whatis/feature/

Created at Fri Sep 25 2026
5 min read
An automated system has answered a customer’s question. The answer is accurate in itself, but it has missed the true reason for the contact. The customer has to explain the situation again, this time to human support. The support representative resolves the issue, but notices something else: the same misunderstanding keeps appearing across multiple customer journeys. When a mistake repeats at scale, who owns the lesson? And what should a global enterprise expect from a CX partner whose job inclu