SmartOil

 The Smart-Oil project is focused on two objectives:

• Digitize key activities in the production process, to enhance the optimization of labor and costs
  
  
• Provide support to business activities, through advanced use of industry and customer-specific data, to manage the customer relationship lifecycle and activate wake-up and churn prevention actions, with the ultimate goal of improving volumes and margins.

The software developed by our team to improve delivery performance, approached the TSP (Travelling Salesman Problem) solution from two common aspects:

• First, the problem of identification of optimal delivery routes (TSP) was handled by developing operational research models, preparatory to optimizing freight movement management including, for example, distances and duration of routes based on structural constraints.
  
  
• Then, the optimization of the number and order of deliveries was carried out based on the constraints identified: from the physical constraints of the customers (such as the need of particular vehicle) to time constraints.

The framework includes a structured customer base analysis system, employing a systematic approach to tracking and analyzing data across various customer lifecycle stages.

This enables the identification of optimal pricing and margin positioning strategies for each customer, along with the opportunities for customer development and the selection of the most suitable actions within the business relationship.

This system provides a prediction of quantities and expected period of repurchase for:

• Evaluating product quantities to be purchased for storage, in addition to optimal stock levels (in relation to expected product purchase price trends)
  
  
• Alerting salespersons, suggesting “commercial stimulus” actions (each day the system identifies customers in need of commercial action, preferring those in the most profitable clusters)
  
  
• Identifying short promotion recipient customers in case of need for optimization of tanker trips