Data is one of the biggest elements for business success these days. Having more information, knowing the business, employees and their needs is essential to capture, retain and satisfy customers. That's why forecasting models are today one of the best and most reliable answers for the management and decisions of retail managers.
The fact that the retailer deals with different companies, from suppliers, distributors, partners, requires a very high capacity of organization and analysis. It is in this factor that technology supports professionals with the intelligent combination of diverse data sources and an infinite variety of analysis and possibilities for the manager.
Data is a retailer's greatest asset. With real information and a detailed analysis, it is possible to combat possible failures and divergences between supply and demand, ensure organization, efficiency and productivity in operations, analyze ROI and much more. The truth is that with Machine Learning algorithms, the manager can practically create his own indicators, according to the needs of the business such as sales, receptions, entries, tickets, etc. For this, it is enough to identify patterns in the data, predicting values and verifying unusual occurrences to determine structures and create categories.
With the forecast of all these elements, the retailer is able to respond to all business needs, anticipate these needs and, above all, be one step ahead of the competition.