The context
In a constantly changing environment, exposed to a large number of regulatory, technological and economic constraints, businesses and communities must reconcile economic performance, quality of service and social and environmental responsibility on a daily basis. To remain competitive, companies must design and implement efficient operational processes allowing them to combine business models and environmental impact.
The younger generations, on the other hand, aspire to greater motivation and job satisfaction. Their vision of the company is based in particular on how the company is able to commit itself to serving society and the environment. Therefore, the loyalty and retention of talents is at the heart of the sustainable growth of companies.
The performance of a company can no longer be measured by financial criteria alone. Company Performance also incorporates the way in which it participates in the development of its employees, behaves towards its customers or users, its suppliers and contributes to the common good and to the sustainable development of society.
The challenge
Faced with the risks inherent in any activity and the explosion in the volume of data to be analyzed (endogenous and exogenous data), common sense and experience are no longer sufficient to guarantee the relevance of business decisions.
At the same time, organizations can generate ambiguity, opacity and contradiction that complicate decision-making. Thus, at the level of a department or a team, organizations “silot” not only their data but also their decision-making leading to a loss of meaning and a non-alignment of actions with regard to the overall strategy of the organization. 'company.
Giving to the General Management, the Business Departments (HR, Operations, Purchasing, Finance) and the IT Department the means to align all of the company's decisions has become a strategic issue: overall performance is only on condition that the actions taken at all levels of the organization are consistent with a shared strategic vision. Greater transparency in decision-making processes means giving the appropriate means to men and women to carry out their tasks with greater efficiency, flexibility and security.
The ambition of the Project
Artificial Intelligences encourage new forms of work and collaboration. They promote an environment where information is more centralized and secure, knowledge is shared and learning is continuous.
These technologies improve the capacity of organizations to make the most of their human and material resources for the benefit of user satisfaction:
- cooperation and interoperability between stakeholders
- agility of organizations in an uncertain context
- valuation of the company's skills
- users satisfaction
The product
Since 2010, DATAPOLE has developed expertise and business solutions in the fields of maintenance, waste collection, water treatment and energy efficiency. Thanks to the EC support, DATAPOLE created PrediSmart, an innovative and unique Platform which aggregates DATAPOLE's technologies on statistical data analysis, prediction and simulations, combinatorial optimization and Natural language processing.
PrediSmart is an innovative, complete off the shelf platform, serving the overall performance of companies: from strategy to operations, including human resources, finance and purchasing. By aggregating different artificial intelligences, PrediSmart allows the analysis, forecasting, planning and allocation of human and material resources.
“Imagine an artificial intelligence that considers all your internal data against the yardstick of public data such as weather, traffic or attendance, to understand the correlation between events, simulate thousands of scenarios and recommend the best options for you help make the best choices on a daily basis and in real time”.
During the project period, the successful realization of 20 pilot demonstrators tested with real customer data demonstrated our ability to achieve the goals of energy savings (10%) and resource efficiency (30%) and other social, economic and environmental impact assessment (LCA assessment) by comparison to previous performance.
