The importance of Quick Commerce
The covid-19 pandemic has profoundly changed consumer habits and strengthened online commerce. As speed of delivery has become an essential criterion, companies have had to make reducing delivery times their spearhead. The Quick commerce method is a major innovation, which requires the establishment of a local business, to deliver the customer quickly to where they are.
Many companies gcash database are concerned about making the supply chain more environmentally friendly . They are entering into a modernization process to improve traceability, transparency or even reduce CO2 emissions generated by road transport. Promoting greener transport and favoring less energy-intensive alternatives contribute greatly to the brand image of companies. New technologies make it possible, thanks to connected objects and sensors, to secure goods and ensure transport tracking.
The challenges facing the supply chain and the use of new technologies, whether mechanical or digital, require a review of established roles and encourage the emergence of new expert profiles.
Newly recruited profiles help support innovation in the supply chain
Companies, keen to innovate, are looking for specific skills to take advantage of automation and digital technologies. New specialized profiles must be able to better understand how flows work in order to optimize them across the entire value chain: sales forecasts, supply management, inventory and storage location management, etc.
Profiles sought in the supply chain sector
Companies need to be able to rely on Big Data and blockchain specialists. In addition to a technical aspect, the profiles sought for the supply chain require broader in-depth knowledge, in administration, finance or international trade. We thus find positions of data analysts, project managers, automation experts, etc. This sector in profound change requires suitable training, such as a logistics and supply chain master's degree .
The job of data analyst has become essential to understand the vast amounts of data involved in the supply chain. By analyzing needs and demand, thanks to artificial intelligence, it can optimize production to avoid overproduction or conversely stock shortages.
Taking into account the environmental issue
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