Part 4/11:
The model hinges on working with store brokers who physically visit stores to restock shelves. The AI system predicts when a product is likely to be out of stock, enabling brokers to replenish items proactively.
Data Collection and Harmonization
Since data variability is a major obstacle, the system collects different types of data—sales, inventory, weather, demographics—from multiple sources. These are harmonized into a common schema, ensuring consistency despite the diverse origins and formats.