SMART
COMPANY

What is Smart Company

Smart Company is a framework able to easily introduce artificial intelligence utilities in data processing. It can be integrated with the major dashboarding systems and systems RPA (Robotic Process Automation).

The Approach

The approach is Data Driven = the data guide the development = the results describe the real history of the company.

Thanks to artificial intelligence potential it is
possible to draw from different sources:

  • Customer demographics
  • Payments
  • Buying habits
  • Call center
  • Warehouse
  • Providers
  • External data (weather, socio-political events, …)

Sales&Marketing
Deal Scoring

Monitor and evaluate customer negotiations to see which ones are most likely to succeed.

ALLOWS TO

  • Guiding sales and marketing activities
  • Manage targeted corrective actions for those negotiations with a lower probability of successful outcome

THE CLASSIFICATION MODEL OBTAINED ALLOWS

  • Distinguish deals that are destined to succeed from those that will fail
  • Give the probability associated with this result

Supply Chain
Vendor Rating

Assign a comprehensive and comparative assessment of active suppliers.

AN ACCURATE ANALYSIS OF SUPPLIERS ALLOWS

  • Reduce the subjectivity of judgment by increasing the transparency of the audit
  • Reduce the costs
  • Promptly implement specific and corrective actions
  • Create partnerships with strategic suppliers

TRAINED MODEL RETURNS

  • Providers classification
  • Probability of belonging to each class

Management Control
Sales Forecasting

Predict the trend of variables in the future, based on intrinsic patterns identified in historical and / or demographic data.

Often these non-trivial trends to be identified are not recognized by traditional techniques.

EXAMPLES OF FORECAST ARE:

  • Quantity of sold products
  • Behaviour of the price
  • Scraps (in the context of Industry 4.0)
  • Overall company revenue

Sales&Marketing
Churn Prediction

Determine the probability of a customer abandon with impact on different aspects of the business:

  • Customer oriented proactive market
  • Sales forecast
  • Price models oriented towards customer retention

A. I. allows to create forecasts even on high-dimensional and time-dependent databases.

CHURN PREDICTION RETURNS:

  • The classification of a customer, that is, whether he is a candidate to drop out or not.
  • The probability of belonging to the assigned class.
  • The confidence interval with which this probability is assigned.

Human Resources

AI4HR
Our AI4HR solution is aimed at companies that deal with recruiting, organizations that deal with body rental in the Information Technology sector, HR divisions of large companies in the GDO, Retail, Consulting sectors.

CAMPAIGN MODULE
SURVEY MODULE
VIDEO INTERVIEW MODULE

Production Predictive Maintenance

Preventive maintenance aimed at real-time surveillance of machinery in order to predict a breakdown.

IMPLEMENTING A PREDICTIVE MAINTENANCE PLAN MEANS:

  • Reduction of downtime and maintenance costs
  • Efficiency of the production cycle

  • Maintenance plan that fully complies with the characteristics of the company
  • The data of the sensors on the machine are processed by a Deep Learning system for the detection of anomalies
  • The system learns the nominal state of the machinery and scenarios related to impending failures

Data Output

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