Artificial Intelligence and Phone Collection: assigning the best agents to the most complex practices
Debt collection campaigns can be very complicated to manage and the companies that manage them must take into account numerous variables in order to achieve their objectives, such as the propensity of a debtor to repay their debt and the economic value that has to be recovered. Currently, the processing method used by most companies dealing with Debt Collection consists of randomly assigning the contacts present in the lists to the operators, without performing any prior analysis on them.
How to achieve your goals with ease in B2B and B2C operations by making the most of Artificial Intelligence
In the current context in which innovation and digitization have become essential elements to ensure business continuity, every company, whether targeting B2B or B2C markets, needs to implement services capable of optimising their internal resources and, above all, to provide the best experience to their target market, whether it is other companies or consumers.
How Artificial Intelligence allows for the optimization of debt collection services of banking and insurance companies
The current economic and commercial instability is playing an increasingly important role in the world of debt collection, with particular reference to companies in the banking and insurance sector.During the pandemic crisis, both of these sectors provided the necessary liquidity to companies to relaunch themselves, but now, with the challenges arising from the increasingly uncertain geopolitical and economic situation, they must be prepared to face the growing difficulties that are arising as a result of the struggles of individuals and companies to pay their debts.
Cross-selling and Artificial Intelligence: how to enhance your Customer Base
The relationship between a consumer and a company does not end at the moment of conversion, rather, it can be said that this moment is only the beginning. From the company’s efforts to try to acquire new customers, we move on to all those activities and strategies that need to be implemented to keep the newly acquired customer tied to the brand and to increase their Customer Lifetime Value, by trying to sell them complementary products that meet their needs.
Artificial Intelligence and Lead Generation: a winning combination
All companies, large or small, have the need to find new customers in order to increase revenues and strengthen themselves within their reference market, consequently it is necessary to implement strategies capable of responding to this need in the best possible way without excessively burdening the company’s finances.
Debt Collection and Utilities: Artificial Intelligence enables more effective credit management
The Utility sector is experiencing very complex and delicate phases: the conflict in Ukraine and the international tensions that have arisen have led to a lack of energy supply and a consequent increase in market prices which has affected both individuals and businesses.
Telcos, AI and Telesales: optimising campaigns while reducing market pressure
Telecommunications is a constantly changing and highly competitive sector that, since the liberalization of the market in the late 90s, has become the protagonist of a massive growth that has led to a multiplication (sometimes uncontrolled) of telecommunications operators that today sees the giants of the sector share the market with a myriad of other competitors, often newer and coming from heterogeneous markets (examples in this sense are, for the Italian market, 1voce owned by Carrefour or Green Mobile that in addition to dealing with telephone services is provider of Electricity and Gas).
Churn Rate and Customer Experience, how to reduce the rate of abandonment of your customers thanks to AI
Finding new customers and increasing sales is one of the key principles of any company that wants to excel within its industry, but businesses have learned the hard way that stopping at the sale, without taking into account everything that happens after the purchase, can be counterproductive and lead to reduced revenues and damage to the corporate image.
Data Driven Strategies: business success through Artificial Intelligence
Each organization has the objective of studying and putting into practice strategies that enable it to reach its objectives and the top of its market. However, these strategies do not always prove to be effective and, in most cases, this is found within those organizations still attached to more traditional and vertical systems, which rely on strategies based on personal feelings or very often on incomplete analyses, unable to provide a complete picture of the constantly changing market or, more importantly, of what is required by consumers.
Shaping the BPO of the future thanks to Artificial Intelligence
The Call Center market is constantly growing, valued at a global level of 91 billion dollars, it is expected that it will reach 150 billion dollars in 2031, and we don’t struggle to understand why: in a world where finding information is always easier, but at the same time increasingly anonymous, call centers represent a very important means of contact for companies, since they allow you to convey your brand image while maintaining human contact and allowing for the personalization of the experience.