VOTRE EXPERT DIGITAL WORKFORCE
Le vrai défi est la complémentarité homme-machine qui consiste à laisser la technologie traiter de grandes quantités d’informations pour permettre à l’humain de se libérer des tâches à faible valeur ajoutée et s’adonner à des missions plus complexes.
With the help of the digital and intelligent workforce, we passionately support and accompany you in meeting the challenges of digital transformation to address the various business issues of your company.
What do we have to offer you?
From analysis to implementation, we like to find the ideas, the paths and all the resources to achieve your goals successfully
The "Intelligent Digital Workforce" is a constellation of technologies capable of giving machines the ability to perceive, understand, act and learn in order to augment human capabilities.
Using RPA tools, a company can configure software, or a "robot", to capture and interpret applications to process a transaction, manipulate data, trigger responses, and communicate with other digital systems.
RPA scenarios range from the simple creation of an automatic email response to the deployment of thousands of robots, each programmed to automate jobs in an ERP system.
RPA robots are capable of mimicking many - if not most - of the user's human actions. They connect to applications, move files and folders, copy and paste data, fill out forms, extract structured and semi-structured data from documents, open browsers, etc. They can also be used to create and manage applications.
A chatbot is a software robot that can dialogue with an individual or consumer through an automated conversation service that can be carried out through choice trees or through an ability to process natural language.
Chatbot originally uses question and answer libraries, but advances in artificial intelligence increasingly allow it to "analyze" and "understand" messages through natural language processing (NLP) technologies and to be equipped with machine-learning capabilities.
Chatbot - For what purpose?
- Relation 4.0 (current tools, XYZ generation)
- Lead Generation
- Better prequalification of requirements
- Saves expertise time to be reallocated to more complex cases
- Increase in the perceived value of services
- Differentiation from competitors
- Cost reduction
The construction of models based on the analysis of a large amount of data makes it possible to predict certain actions.
Thanks to the increasing digitization of information, and the rise of digital analysis tools, this type of marketing crosses various data sources to anticipate future consumer actions.
Prediction is no longer done through classic segmentation analyses based on criteria drawn from marketing studies. Today, beyond classic segmentation and targeting, specific algorithms have been developed to predict and anticipate human behaviour. Through predictive marketing, a company can propose the best possible offers, at the right time, through the right relational device. For example, anticipating the departure of a customer to the competition and acting proactively to retain them.
This marketing is part of Marketing 3.0: a new form of marketing that focuses on functional, emotional and even spiritual values. The participation and collaboration of the client is essential .
Predictive marketing tools - For what purposes?
- Cost rationalization
- Performance Improvement
- Optimization of customer relationship management
- Customer Loyalty
A project from design to maintenance through development, in business immersion to offer you solutions adapted to the systems already in place, to your corporate culture and to your work processes.
Tailored CEW Solution - For what purpose?
- Better customization
- A better response to a business issue not covered by the main AI solution providers on the market