Can improve areas that require resource
Posted: Wed Dec 11, 2024 4:25 am
Data and artificial intelligence can also help operators plan different consumer scenarios from online to offline. Artificial intelligence has made major breakthroughs in the field of reinforcement learning and can better allocate resources. This advantage is particularly important in managing and responding to the rapidly changing global epidemic situation. Reinforcement learning focuses on what actions should be taken to obtain positive feedback in a given environment and situation.
For enterprises, this breakthrough allocation such as manpower, inventory, vehicles, warehousing, etc., and help enterprises with logistics needs, such as those that need to distribute or transport goods (such as e-commerce, food argentina whatsapp number data 5 million delivery operators, etc.) etc.), it not only relies on the current model and past experience to make resource allocation decisions, but also takes the advantage of reinforcement learning to better predict future resource allocation situations and ensure the best preparation for the next expected situation ( For example, dispatching more drivers in advance during heavy traffic situations, stocking goods in advance during periods of high demand, etc.).
Data will be the most influential key in the smart retail era, and its impact will span resource allocation, logistics and distribution, user experience, and customer service. We have already witnessed the impact of smart retail, and retailers have also realized the urgency of shifting to digital-first operations in 2020. It can be expected that retailers will continue to lead the application of advanced technologies in the future, not only to adapt to the new normal in response to the epidemic, but also to make consumer behavior more interesting, more immersive, and more efficient.
For enterprises, this breakthrough allocation such as manpower, inventory, vehicles, warehousing, etc., and help enterprises with logistics needs, such as those that need to distribute or transport goods (such as e-commerce, food argentina whatsapp number data 5 million delivery operators, etc.) etc.), it not only relies on the current model and past experience to make resource allocation decisions, but also takes the advantage of reinforcement learning to better predict future resource allocation situations and ensure the best preparation for the next expected situation ( For example, dispatching more drivers in advance during heavy traffic situations, stocking goods in advance during periods of high demand, etc.).
Data will be the most influential key in the smart retail era, and its impact will span resource allocation, logistics and distribution, user experience, and customer service. We have already witnessed the impact of smart retail, and retailers have also realized the urgency of shifting to digital-first operations in 2020. It can be expected that retailers will continue to lead the application of advanced technologies in the future, not only to adapt to the new normal in response to the epidemic, but also to make consumer behavior more interesting, more immersive, and more efficient.