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AN INTELLIGENT PREDICTION SYSTEM FOR THE SMART EFFICIENT USE OF RESOURCES IN CITIES

Periodic Reporting for period 3 - PREDISMART (AN INTELLIGENT PREDICTION SYSTEM FOR THE SMART EFFICIENT USE OF RESOURCES IN CITIES)

Reporting period: 2020-05-01 to 2020-07-31

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.
We developed a native ETL which allows to easily create connectors for major data suppliers: BAS, CMMS, IoT Platform, HR IT, ERP ….
We integrated DATAPOLE’ Solutions based on latest Artificial Intelligence technologies within the
same platform. Our IT architecture hosted by AWS gives us flexibility, efficiency and cost control for the future of our developments. This migration completed, we developed a new interface and an automated setup. A demonstrator has been being developed, with the automated data model generation and allow to quickly deploy new pilot sites with minimum efforts.
Our commercial team attended 30 events whose 15 related to smart city and facility management
which led to more than 260 contacts taken with various societies of which 160 we still have relations with.
We initiated collaboration with major Service Providers in order to co design a Solution which is
dedicated to serve their Design department and Operations departments. Then, PrediSmart
Platform could have been deployed over 21 Pilot Sites, gathering 300 tertiary and industrial buildings
for an annual volume of 300 000 work orders.
During this collaboration, DATAPOLE technicians’ teams closely collaborated with services providers
teams and major CMMS editors:
- we developed dedicated interfaces for Design Departments’ experts in order to benchmark the
vision of experts with the feedbacks of operations.
- we developed connections to automatically collect real time activities data and push back data
processes outputs into the existing CMMS used by Operations Departments.
We organised technical meetings on a weekly basis in order to validate implementation of the
solution with end users.
Those technical meetings were also the opportunity:
- to validate major expectations of end users: the operations efficiency of both Design
Departments (optimisation of events planification) and Operations Departments
(optimisation of resources allocations), the evaluation of the carbon footprint of
maintenance operations,
- to present outputs of PrediSmart and collect end users’ feedbacks that we integrated into
our developments in order and facilitate future adoption of the solution.
During the last period of the project, we focused on the adoption of the Solution by the users as well as on the quantification of the benefits obtained : the successful realization of the 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.
The results obtained allow us to initiate our first deployments for operational use today.
PrediSmart demonstrated its ability to provide consistent preconisation thanks to the latest Artificial Intelligence technologies. For Design, Operations and Sales Departments, PrediSmart is about to become a change player.
While our interlocutors do not rely on their own existing data set, thanks to an appropriated and automated data processing, we provided a real source of added value.
Moreover, the solution illustrated the gap existing between Design Department preconisations, Operations Department realities and end user’s real needs.