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Retail Business Review | Thursday, October 20, 2022
The innovations spawned by trends will benefit consumers, retailers, and logistics organizations by enhancing procedures, boosting performance, and giving businesses a competitive edge.
FREMONT, CA: E-commerce and customer digital literacy have changed retail logistics. These dynamics, including continual urbanization and dual-income households, shape consumer choices and perceptions in emerging and developed economies. Thus, retail and e-commerce enterprises must adapt to shifting consumer demands impacted by technology and culture. Rapid delivery and mobile use are changing retail logistics the most. Retail logistics is known for its siloed data and laborious operations, but this is changing as merchants incorporate new technology, deploy warehouse robotics, and automate their supply chains.
Demand from consumers for omnichannel retail experiences: Smart consumers are beginning to anticipate omnichannel shopping experiences from their preferred brands, i.e., a seamless and consistent experience across channels such as online, mobile, and in-person. For example, suppose a customer purchases an item online. The omnichannel approach allows the buyer to return the item to any brick-and-mortar location, regardless of where the item was originally purchased. It can quickly complicate operations for businesses that maintain distinct online and in-store inventories, especially if their distribution hubs are on opposite sides of the country.
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Embedded integration technology: Embedded integration technology is another critical trend affecting retail logistics, as logistics organizations recognize the necessity to communicate customer data seamlessly and consistently. For instance, real-time location tracking and traffic updates make it possible to improve delivery windows. Embedded data platforms make it feasible to link and combine data by exploiting already-integrated capabilities. RFID technology is another example. RFID can give real-time location and data when coupled with other systems, such as inventory management software, resulting in fewer backorders and more precise estimations of delivery timelines and shipping costs.
Big data analytics: Big data analytics creates opportunities for retail logistical operations. It assists supply chain professionals in identifying bottlenecks and optimizing the flow of goods and resources throughout the warehouse and supply chain. It also optimizes routing for last-mile delivery, which reduces order fulfillment times and enables more firms to offer faster consumer deliveries. Logistics companies can save repeat and wasted trips by utilizing predictive analytics to determine the likelihood that consumers will be home to accept their deliveries. It can accomplish by analyzing patterns, employing intelligent tactics, and determining the ideal delivery times and modalities for the given address.
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