We are in the ‘Proactive Customer Management Era’ where credit limit management and cross-selling strategies are cornerstones of profitable growth in the financial sector.
Let the data do the talking
We are in the ‘Proactive Customer Management Era’ where credit limit management and cross-selling strategies are cornerstones of profitable growth in the financial sector.
The admission process for financial products has undergone a radical transformation with the integration of advanced technologies like Artificial Intelligence (AI) and decision engines.
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.
Unlike past automation waves, generative AI creates original, contextualised, and useful content—text, analysis, recommendations, code, personalised responses, executive summaries—in seconds.
At AlgoNew, we believe AI doesn’t just change how we collect—it redefines why and for whom we do it. AI lets us move beyond rigid, costly models and adopt smarter, proactive, and customer-centric strategies.
In an increasingly challenging economic climate, where late payments are rising and consumers face diverse financial pressures, organisations must rethink how they manage their debt collection processes.
Using AI to adjust pricing, supply chains, customer experience, etc. allows food retailers to adapt to inflation and consumer expectations.
A leading European insurer faced the challenge of competing with new digital insurers and high customer expectations.
A leading Latin American bank, specializing in consumer banking and small-to-medium enterprises (SMEs), faced mounting challenges in a competitive market.
In Latin America, Artificial Intelligence is opening the door to the credit system to a large number of people and companies that traditionally would not have enjoyed this benefit, traditionally, would not have enjoyed this benefit.
