Supply management in the new retail using data (Data Analytics) has become a key factor in the success and growth of the business.
The ability to ensure a continuous flow of products at optimized costs is essential for customer satisfaction, profitability and competitive advantage. In this context, Data Analytics plays a fundamental role, allowing you to make data-based decisions and drive positive results.
Data Analytics in supply management involves the collection, organization and interpretation of relevant data for the purchasing and stock replenishment process. With the help of advanced technologies, such as data intelligence and Business Intelligence (BI), it is possible to extract valuable insights that direct your actions and help you make more assertive decisions.
One of the main advantages of Data Analytics is the ability to predict future demand. By analyzing historical sales, seasonality and customer behavior, you can identify consumer trends and anticipate demand for certain products, this allows you to make more precise purchases, avoiding excessive stocks or shortages of products on the shelves.
Data Analytics can also be applied to identify more efficient suppliers with better prices. With a complete view of suppliers' costs and performance, you can negotiate better purchasing conditions, reducing expenses and increasing the company's profitability.
Another area where Data Analytics has a significant impact is in inventory optimization. Based on accurate data on stock turnover, delivery times and sales history, you can establish ideal stock levels for each product, avoiding stranded products and ensuring the availability of best-selling items.
In summary, the importance of strategic analyzes in supply management is undeniable. This data-based approach allows for more intelligent, efficient and results-oriented management, boosting the profitability and success of your business.
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