Data mining in Logistics 4.0
20 Jun 2022Data mining is the analysis of large databases using algorithms to extract previously unknown patterns, i.e., clusters of data records, or to detect anomalies.
Explore the Mecalux blog and learn more about the latest methods for warehouse space optimisation, how to improve inventory management, automated material handling equipment & software.
Data mining is the analysis of large databases using algorithms to extract previously unknown patterns, i.e., clusters of data records, or to detect anomalies.
FMCG products not only require optimal safety and productivity in operations such as warehousing and conveyance, but often pose a challenge to order delivery.
Inventory balancing consists of moving products between warehouses and stores to even out quantities of stock and always have on hand the goods ordered by customers.
The best way to control stock in real time and thus improve your inventory accuracy is through the digitization offered by a warehouse management system (WMS).
New technologies applied to warehouses such as cobots, put/pick-to-light and voice picking systems help to achieve efficient ergonomics, benefiting both logistics managers and operators.
Intelligent automation consists of combining technologies such as artificial intelligence (AI) and robotic process automation (RPA) to increase supply chain efficiency.
The cash cycle is a logistics and economic metric that measures the days it takes a company to convert its stock into cash flows resulting from sales.
Warehouse managers can analyze KPIs in their facilities to know how the different operations are being carried out, to identify points to improve, and to make strategic decisions more easily.