Sales forecasting using data science

The project's initial challenge was to create a structure that understood payment sources, orders to cash, and business operations.

There is a diagram that shows how customers interact with products and, finally, the sales register. This is critical for forecasting sales.

To accomplish this, all analytics technology involved supports data collection and mining. In other words, the project includes a data science structure that can analyze previous sales by vendor, region, and item and cross-reference this data to predict real-world commercial good procurement to sales.

In addition, the AI structure examines retail selling information from local community events, holiday calendars, long weekends, weather, and climatic conditions.

All of this data assists business leaders in making sound decisions and providing better products for each occasion.

Built With

• artificial
• intelligence.