The complexity of the global economy has brought new opportunities for the global supply chain, but also an increased risk of disruption and increased uncertainty. For this reason, today the value of data and its analysis become a spearhead for companies in all sectors of the economy, which today have at their disposal technologies that allow them to collect, analyze and design solutions for their customers and that adjust to the changing conditions of the global market.
Faced with the different effects that the global supply chain has suffered in the last two years, the effect of the time of border closures and the subsequent reopening with an accelerated growth in the demand for raw materials and goods higher than the logistics capacities of the world, the question must be asked: How can predictive data analysis could help supply chains?
It should be initially defined that there are advanced technological tools such as machine learning, geomarketing and data mining that allow organizations to identify hidden patterns and trends to understand market trends, identify demand, establish pricing strategies, achieve a high return on their investment, optimize and reduce inventory costs. , key issues that are the competence of logistics professionals. The comprensión of the global economy protecting logistics Solutions for the supply chain.
Predictive technologies and the improvement of logistics processes.
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Shipping and logistics:
Determines the optimal frequency and quantities of shipping to meet demand
and minimize costs, analyzing among other data also the fastest routes, taking into account traffic congestion, distance, weather and delivery points.
Demand forecasting:
It allows to improve the forecast of the demand through the analysis of the past and current trends of consumption and in conjunction with the market intelligence and the economic forecasts allows to have more assertive information that allows the strategic supply of goods and raw materials.
Inventory management:
Predictive analytics allows organizations to determine optimal inventory levels to meet demand and minimize stocks, allowing supply chain managers to determine detailed inventory requirements by region, location, and usage, to avoid low-demand stock and excess inventory of potentially unsold goods.
Analysis for replenishment planning. Improves product availability at points of sale and boosts customer satisfaction levels. You need to:
Integrated planning with the retailer, distributor and channel level.
Optimization of fulfillment logistics, especially in relation to warehouse functions.
Key end-to-end traceability for predictive analytics.
Predictive tools need data, and to achieve the expected results, end-to-end visibility into the supply chain must be assured. Procurement, input logistics, warehouse, inventory, manufacturing, order fulfillment, transportation, distribution, all information builds solid databases to anticipate logistically.
End-to-end technology gives visibility to each process; it connects with the different actors in an integrated way, evidencing a continuous flow of information in which a delay or failure at any point, spreads through the system preventing an efficient execution.
Efficiency that currently faces the volatility and uncertainty that have made traditional logistics management models gradually obsolete, so it is necessary to strengthen the global supply that depends on many factors, and among them it will be key to strategically implement logistics planning and forecasting. to respond to complex supply situations with an integrated and robust logistics system that has the tools available to solve possible interruptions in the normal commercial and supply flow of the world.
Sources
https://www.centralamericadata.com/es/article/home/Cmo_ayuda_el_anlisis_predictivo_en_las_cadenas_de_suministro
https://retos-operaciones-logistica.eae.es/20664-2/#:~:text=La%20miner%C3%ADa%20de%20datos%20puede,sus%20proveedores%2C%20socios%20y%20componentes.
https://blog.es.logicalis.com/analytics/analisis-predictivo-el-futuro-de-la-cadena-de-suministro#:~:text=El%20an%C3%A1lisis%20predictivo%20es%20cada,que%20los%20costes%20se%20reduzcan.
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