 
                    NTT DATA partners with L'Oréal to enhance its digital e-commerce platforms
L'Oréal's goal is to provide tools that are at the forefront of consumer experience technology, delivering added value using artificial intelligence. NTT DATA announced the recent alliance with the leading global cosmetics and beauty company, L'Oréal Groupe, which seeks to develop innovative technological solutions that allow users a personalized experience at any time of the day they need it through digital channels, also improving customer service responses. Since its inception, L'Oréal Groupe has been characterized as a company that constantly embraces innovation, and this is no exception. As a pioneer in beauty-tech, its goal is to push the boundaries of beauty, using science and technology as the basis of its sustainability strategy, satisfying the desires and dreams of all its consumers around the world. On this occasion, both companies indicated that they are working on technologies that will be pioneers in Latin America, and are being developed through NTT DATA's Conversational AI, eva platform, which uses advanced artificial intelligence with Generative AI, capable of understanding and offering hyper-personalized advice to users. "As a company we are constantly researching and trying to develop processes that facilitate and optimize the shopping experience for our consumers. We are excited to bring cutting-edge technology to our customers, we want to explore the use of tools like GenAI to provide an engaging and personalized shopping experience, helping our customers find the best products for their beauty needs," said Arturo Perez Wong Manager Manager DPGP L'Oréal Chile. At the same time, the companies added that this alliance will allow them to capitalize on the advancement of the latest artificial intelligence and big data technologies and apply them in the multiple communication channels they have with their customers, creating a more dynamic, fluid, and intuitive shopping experience in both online and offline modalities. "We are very happy to be able to contribute with all our potential to accelerate the deployment of Social Commerce at L'Oréal, and help them to improve the customer experience, through a new, simpler and revolutionary way of shopping, which saves time and improves users' lives" concluded Santiago Santa María, Director Conversational AI & Generative AI.About L'Oréal
L'Oréal, a world leader in beauty and personal care, is headquartered in Paris, France. With more than a century of history, the company operates in 150 countries and employs around 88,000 employees. L'Oréal's diverse portfolio includes brands such as L'Oréal Paris, NYX, Vogue and Maybelline. The company focuses on innovation, sustainability, and social responsibility, offering high-quality products and personalized beauty experiences for its customers around the world.About NTT DATA
NTT DATA, part of the NTT Group, is an innovative global IT and business services company headquartered in Tokyo. The company helps clients in their transformation process through consulting, industry solutions, business process services, digital and IT modernization and managed services. NTT DATA enables them, as well as society, to move confidently into the digital future. The company demonstrates its commitment to the long-term success of its customers by combining global reach with local focus to work with them in more than 50 countries around the world. 
                                 
                                 
                                 
                                 
                    But why is GenAI so attractive for businesses? We dared to ask the tool itself and this is a summary of its answer:
It improves customer service, reduces costs, analyzes data about your customer interactions, responds quickly to questions or queries, can handle multiple conversations, collects customer information to provide personalized communication. Also, we sought the voices of experts to delve into the topic, Santiago Santa Maria, director of Conversational AI and ChatGPT at NTT DATA, talks about the revolution in customer care and how GenAI is changing the game. In his article published on Medium, Santiago Santa Maria, points out that customer care is being radically transformed with this new application."We are still shocked by the disruption that GenAI is causing in multiple industries: content generation (texts, books, scripts articles...), summaries, translations, answers to factual questions... New uses and applications of this powerful technology keep appearing" says the director of NTT DATA.He explains how a company can benefit from GenAI to improve customer service, as it is possible to connect this Extensive Language Model (Generative AI ) with different digital channels such as WhatsApp, Instagram, Web, and Call Centers.
Other benefits identified by the director of Conversational AI and GenAI are:
- Understanding and accurately responding to user needs.
- Providing solutions to complex user problems
- Deliver personalized and satisfying user experiences
- Handle multiple languages and dialects
- Understanding context and providing relevant responses across different digital channels
- Deliver personalized recommendations and suggestions to users
- Handle high emotional stress situations and provide empathy and appropriate solutions
- Increase efficiency and reduce costs associated with customer support and sales.
"GenAi has shown us the disruptive change that Generative AI bring to the Conversational AI industry."NTT DATA’s Conversational AI platform, eva, already makes uses Generative AI and is powered by OpenAI technology to complement its capabilities and help clients boost their customer service processes, drive up sales, reduce costs, increase efficiency, and improve their users' experience, giving brands a more salient vision.
 
                                 
                                 
                                 
                                 
                    These new features of eva will leave you happily shocked, take a closer look at what's new
Analyze your users to personalize conversations - a whole new level of experience!
We have created a new dashboard for message details and a section for conversations, which will help your business turn customer interactions around. You will be able to visualize each message sent and received by the bot in a complete and exhaustive way to retrain and improve it more and more, this way, you will be able to understand the context of each conversation to further analyze your users' needs and their behavior to address better solutions. Now you will be able to make a more exhaustive analysis and concentrate the information in one place, thanks to the implementation of message and conversation reports, which will allow you to export an excel document with the detail of the messages and the summary of the conversations.Segment your customers and target them quickly Give them the answers they need and add value to your business!
With this important advance, you will be able to segment your users and define to which range they belong to focus the information and give them a differentiated communication according to their interests.Not Expected Flow
To improve the user experience, the not expect flow now accepts several cells, enabling you to process information before answering the user when the virtual agent doesn’t understand his input. You can differentiate the response based on user context, deliver sequential answers or even call APIs to fetch information that could answer the user’s input from external sources.Welcome flow
Because you asked for it... just like the Not Expect flow, you can now build flows when welcoming the user, loading context information, calling external services, disambiguating user segments, delivering different messages based on user profile and for better management of user data. This feature also allows you to deliver sequential responses without entering a specific flow, and to jump to another flow from these two flows.Reduce costs thanks to Voice Gateway implementation
eva is now able to manage telephone conversations. With the Voice Gateway it is possible to implement and automate use cases with all the power of eva's dialog manager. With this new functionality, you will be able to forget about external platforms because in eva you will have everything condensed to create a Cognitive Contact Center.Improve the user experience even further
Now, through the Conversation API, you can force the execution of a flow by passing its name in the code field. This feature allows you to start a flow without an intent and force its execution – even in the middle of another flow. For example, you can create a menu in a webchat that allows the user to jump directly to a payment flow, even if the user was already running a flow. This way, you can create a custom chat window with a cart button.Amazon Lex inside eva AMAZING!
We've added another NLP to our list! If your knowledge base is in Amazon Lex, you can now integrate it with eva to create flows and manage the entire conversational user journey.The future is here: eva now with OpenAI's GPT-3
We couldn't leave out this powerful new tool, GPT-3 will help us to have much more dynamic and accurate responses in real time to give users an amazing experience and streamline the creation of virtual assistant conversations. This is just the beginning! More information coming soon If you have any questions or feedback, don't hesitate to reach out to us here 
                                 
                                 
                                 
                                 
                     
                                 
                                 
                                 
                                 
                    Combine these two apps and you have an amazing platform to make your business notice.
Facebook connects businesses with their customers
But these users are not only trying to connect between themselves, they also want to reach the companies and brands that they use every day, hence the need for creating chatbots that can help these users in a range of requests, so they don’t have to move from their houses, something that we have become accustomed to. Nowadays there is a demand for fulfilling requests from home, especially in those business areas where the use cases allow this type of interaction.How to create chatbots in facebook messenger?
For this instance, we consulted Enzo Norambuena, Sales & Marketing Leader at NTT DATA, a company that has been recognized by Everest Group as Major Contenders, on how to create a chatbot on Facebook Messenger and the importance of it for companies. Regarding the importance of having it as an available channel, Enzo tells us:Expanding the communication channels makes a company to be always connected with the customer. Facebook Messenger is a good strategy for this, as it allows you to have communication with people of any age range any day of the week, 24/7When it comes to creating a chatbot, using eva it’s the fastest way.
Step by step
- It is always recommended to start based on use cases, once we define those, we can create the flow that will represent each use case.
- Once we have defined this, we can take the flow to eva - our enterprise conversational AI platform - there we can visually create the flows, with its corresponding cells (answer cells, intention cells, etc).
- For our flows to work with Facebook, we must select a “Channel”, in this case it will be the Facebook Messenger channel, connector which was developed by our team and helps to link the flow created in our platform with the Facebook Messenger or Instagram apps.
- Once we have linked eva with these apps, we have a functioning chat bot with its own case uses and that works for both Facebook and Instagram, since both apps are part of the same conglomerate, Meta.
 
                                 
                                 
                                 
                                 
                     
                                 
                                 
                                 
                                 
                    But what is a virtual assistant?
Some of the meanings we can find online refer to a person who offers administrative support services through some digital means, but in the age of Artificial Intelligence (AI), this is not the definition we are looking for. For AI, a virtual assistant is a type of support software, oriented to provide help to users to perform certain tasks, automating them. In addition, this type of assistant requires an interface to interact with users, the most common ones being in text and/or voice format. These assistants are 100% customizable, being able to edit multiple of their characteristics, including their personality, voice type, gender, the type of message they deliver, etc. all of this to make it possible for each chatbot to adapt to the needs and particularities of each company.The important question is: Why do companies need virtual assistant?
Virtual agents have positioned themselves as a valuable resource for companies, which, being a versatile product, can deliver different services to customers in processes that can be automated, and that can be solved on the spot. It is for this reason and more, that the benefits that AVs bring to companies are varied, the main ones being time and money savings.With the time savings
It is possible to delegate processes and tasks that are usually entrusted to a human agent, mainly from the customer service area; with an active virtual agent, other processes that may require more time/availability can be assigned to the human team, leaving the AV to take care of them through its various services and connections, either to databases or APIs, which reduces the waiting time for the user in general.Saves money:
Using this type of technology opens the door to solve the most common doubts that customers may have, without requiring the intervention of a physical agent, which leads us to the other benefit mentioned, saving money; this mainly because by not needing several human agents for the processes, a substantial saving of the budget dedicated to pay for several human agents is generated; just paying for a virtual assistant.Multichannel
In addition, another advantage of virtual assistants is multichannel, companies can implement them in different virtual channels for the benefit of their customers: in applications, on websites, and even in "digital terminals" located at certain points of sale, for example; companies can choose the channel that best suits their needs.Improving the experience
This also leads to improve the perception that users may have of companies that have this type of technology, since it generates a positive appreciation of the value proposition that they offer, giving a current image and that they are up to date with the latest technologies that seek to improve and expand the user experience. There are several benefits that an AV can generate to a company. Large, medium and small brands are opting for this tool. It is important that the virtual assistant you implement in your company is really great so that you can visualize the benefits. Do you know how to create a good virtual agent? We tell you here 
                                 
                                 
                                 
                                 
                    Discover what's new for creating virtual assistants
We are bringing to you new possibilities and improvements to our NTT DATA eva platform that will bring your experience when creating virtual assistants to a whole new level.Check out the new features eva by NTT DATA has been cooking up for you.
ANALYTICAL DASHBOARDS TO MEASURE YOUR VIRTUAL AGENTS
You have asked for it, you shall have it! We are glad to announce that we will now have dashboard with KPIs that will help you measure your Virtual Agent's performance and keep improving it. With a magical visualization, you will be able to analyze if you’re achieving your business goals. Total conversations
Number of sessions between the virtual agent and the users on a given period and its percentage change compared to the previous period.
Total conversations
Number of sessions on a time frame.
Total messages
Total number of messages sent by users during conversations and its percentage change compared to the previous period.
Total messages 
Number of user messages on a time frame.
% accuracy
Model’s hit ratio: it calculates the number of user messages that did not end in a Not Expected cell divided by the total of user messages and its percentage change compared to the previous period.
Total of users
Number of users (new and returning) who started a new session and its percentage change compared to the previous period. This information requires that the business key is informed.
Total conversations
Number of sessions between the virtual agent and the users on a given period and its percentage change compared to the previous period.
Total conversations
Number of sessions on a time frame.
Total messages
Total number of messages sent by users during conversations and its percentage change compared to the previous period.
Total messages 
Number of user messages on a time frame.
% accuracy
Model’s hit ratio: it calculates the number of user messages that did not end in a Not Expected cell divided by the total of user messages and its percentage change compared to the previous period.
Total of users
Number of users (new and returning) who started a new session and its percentage change compared to the previous period. This information requires that the business key is informed.
 Total of users
Variation of users (new and returning) who started a new session on a given period. This information requires that the business key is informed.
Top 10 intents
The 10 most accessed intents (as returned by the NLP) and their occurrences by channel.
Top 10 flows
The 10 most executed user journey flows
Total of users
Variation of users (new and returning) who started a new session on a given period. This information requires that the business key is informed.
Top 10 intents
The 10 most accessed intents (as returned by the NLP) and their occurrences by channel.
Top 10 flows
The 10 most executed user journey flows
PAGINATION
We have added an improvement on the way navigate in the repositories. Control how many items are displayed on the repository lists. Choose if you want to see 5 or 100 items per page on the flows, intents, entities, services, and answers repositories.SORT
Have you ever wanted to organize the repository by its name, modification date, or its type? Now you can do it! We added this new feature in all repositories to organize them as you want and to improve the search of all created items.IMPORT/EXPORT VIRTUAL AGENT
Another improvement that will ease your experience and save time! Choose how you want to import your virtual agent: as a new virtual agent or update a current version (parameters, channels, workspace, repositories, and Automated Learning). This option will allow you move the virtual agent through environments directly from the virtual agent popup menu, without the need of creating a new one every time a change is made in other environment.AUTOMATED LEARNING
We update Automated Learning. Do you know this feature? Automated Learning allows training virtual agent from documents, turning the trainings into an easy task. We have added improvements such as the possibility to add questions to disabled documents. Now, get ready to take off by creating virtual assistants, with a coffee in your hand and your best smile We are part of NTT DATA's Syntphony ecosystem 
                                 
                                 
                                 
                                 
                                                                                                 
                                                                
                             
                                 
                                