With the support of Artificial Intelligence and Machine Learning, companies in various sectors have applied business intelligence, automation and personalization strategies to create a more striking and positive user experience.
New technologies are helping to create a closer relationship with customers than ever before. With the right tools, the process of understanding each consumer's needs and building direct connections between company and customer becomes simpler.
Nowadays, working with artificial intelligence and its machine learning, automation and personalization solutions is a great differentiator for promoting a better customer experience.
Read on to understand how AI creates new possibilities for customer success!
What is Artificial Intelligence (AI)?
The concept of artificial intelligence is not new in itself. The term refers to systems and/or machines capable of absorbing, analyzing and organizing data in order to learn to identify patterns, reactions, situations and continuously improve themselves.
Artificial intelligence is similar to human intelligence in that it goes beyond just following specific orders; these systems "learn" to think based on well-programmed models, with huge volumes of data available and super-powered computing power for processing.
For practically all product and service sectors, artificial intelligence provides benefits such as:
- Service chatbots;
- Search engines;
- Task automation;
- Facial and speech recognition;
- Business intelligence solutions.
Artificial Intelligence in business: business intelligence and data-driven decisions
With the power to absorb and organize information from raw data, companies have something very valuable at their fingertips: developing business intelligence strategies.
Through Machine Learning and the data processing capacity of AI, it is possible to obtain important insights, ranging from internal patterns in the company, with readings on flow optimization, risk assessments, resource management, varying demands and employee access, for example, to trend analyses of various segments, recognition of purchasing patterns and international market predictions.
Insights and strategies to attract customers
With insights extracted from data, partners, managers and other decision-makers can have more direct guidance when making their choices. And these smarter, more assertive decisions are not just restricted to the commercial aspects of a business, such as price or market definitions.
By understanding the behavior of customers and prospects and having better visibility of their pains, needs and expectations, you can develop a much more effective approach tactic.
In addition to optimizing the approach to consumers, data analysis combined with automation facilitated by artificial intelligence expands the range of possibilities for personalizing the consumer journey.
Working with a customized customer journey is a great way to stand out and create positive experiences
When the customer seeks to have a need met and finds a satisfactory buying journey, the likelihood of loyalty is much greater.
This satisfaction in the experience must go beyond the quality of products, solutions and services, payment facilities and delivery and/or implementation times; the consumer wants to feel like the focus of that business.
Positive experiences result from the balance between automation and humanization
Creating automations with artificial intelligence is important for savings, scalability and agility in customer support, but care must be taken not to be invasive with consumers or forget the human side, especially when solving problems.
Machine learning, a corporate culture of data-driven decisions and a consumer-focused business model are all tools that help to create competitive advantage and make a company stand out in the market.
What is machine learning?
In free translation, the expression is "machine learning". This subfield of AI works mainly to identify patterns.
By recognizing a customer's consumption patterns, for example, the system can suggest other services and/or solutions that are in line with what they usually need.
Social media algorithms and streaming platforms such as Netflix use machine learning to get to know users and make personalized content recommendations for each of them, according to observed behavior patterns.
Focus on the consumer: personalization and customer loyalty
As already mentioned, even if it is facilitated by automated tools, personalization cannot exist separately from the human fact.
The difference lies in taking advantage of the insights gained and using them to create a consumer journey that fits in with their behaviors, including close contact points between the company's teams and the customer.
Loyalty comes precisely from satisfaction with the entire journey. And a recurring truth in all sectors is that the cost of keeping a customer is lower than the cost of winning a new customer.
How do you implement new technologies in your company?
Introducing new technologies and successfully consolidating them are challenging processes. As well as choosing the most appropriate investments, it's important to plan the timing of implementation, include training, etc.
That's why expert support is so essential!
Qualified support in the digital transformation
Having qualified technical and commercial teams, who know your market and have extensive expertise in Information Technology, makes the digital transformation journey more agile, efficient, assertive and cost-effective.
Conversys works with an IT consulting process in which, together, we plan the roadmap for your business, developing a technical map completely aligned with your objectives.
Conversys Consulting and Assessment
We believe in bringing technology, people and companies together to transform the market and create new possibilities.
Conversys helps your company move away from traditional approaches to IT planning and provides the services you need to propel your organization in the right direction of innovation!
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