Tourism and Hospitality
One of the biggest challenges in recovery and preventive management is ensuring outreach isn’t just effective, but also timely and well-received. At Algonew, we know the channel is as critical as the message. That’s why we design intelligent multi-channel strategies that cover more ground—with surgical precision.
At Algonew, we know that anticipating customer behaviour isn’t just a tactical advantage—it’s a strategic necessity. Predictive technologies, especially those powered by artificial intelligence (AI), have become indispensable for the early detection of financial risk signals and effective delinquency prevention.
At Algonew we understand that operational efficiency and customer experience need not be at odds. This is especially true in pre-collections, where well-timed, tactful outreach can mean the difference between preventive recovery and solidified debt.
At Algonew we firmly believe that the most critical stage of the credit cycle does not begin with default—it starts much earlier. Pre-collection represents a strategic window to anticipate customer behaviour, build healthier relationships, and, most importantly, significantly reduce early delinquency.
The data is overwhelming: 1 in 2 customers (49%) abandon calls due to long wait times. This reality, which directly affects business profitability, finds an effective and scalable solution in Artificial Intelligence.
How to prevent defaults, automate with empathy, and enhance customer experience. In an era where arrears can escalate quickly and customers demand more humanised experiences, lenders, banks, and fintechs must reinvent how they manage portfolios—starting with early-stage collections.
The travel industry has witnessed a remarkable transformation since the beginning of this century. The introduction of artificial intelligence (AI) and machine learning (ML) has revolutionized the way companies operate in this sector. Today, almost every tourism-related company utilizes at least one AI-powered technology, and the industry is expected to…
