5 Ways eCommerce Logistics are Impacted by Artificial Intelligence
5 Ways eCommerce Logistics are Impacted by Artificial Intelligence 1. Artificial Intelligence (AI) Will Be Used for Targeted Product Placement: Artificial intelligence (AI) technologies can be used to analyze a consumer’s behavior allowing companies to optimize advertising campaigns towards an audience that is more likely to convert. To put it simply, artificial intelligence and programmatic advertising can gather audience data and then use it to target them with the products that they are interested in. The campaign optimization and product placement targets can be changed and tweaked in real-time across mobile devices, as well as, video and social channels. How is this done? Through the use of demand-side platforms the collect and analyze cookie data gathered from website visitors.
5 Ways eCommerce Logistics are Impacted by Artificial Intelligence 2. Artificial Intelligence (AI) Will Push Consumers Back Into Abandoned Carts: One of the major issues that eCommerce companies see is abandoned carts. Now, these carts can be abandoned for a number of reasons such as unexpected delivery costs, concerns over the security of the site, being forced to create an account or complicated checkout processes that require too much information. Fixing these situations will definitely help with minimizing how often the cart gets abandoned but in order to understand the why behind the forgotten cart, artificial intelligence must be used. AI can recognize patterns behind the choice of products, at which stage the cart was abandoned, and how much time was spent actually filling the cart. With these metrics, marketers can use enticing deals, on-screen advertisements, and e-mails to re-engage the customer’s interest in the abandoned cart and thereby get them to re-visit the site to possibly make a purchase.
5 Ways eCommerce Logistics are Impacted by Artificial Intelligence 3. Artificial Intelligence (AI) Will Provide a Concierge Type Experience Through Chatbots: Artificial intelligence can be leveraged through chatbots in order to provide a better and more personalized user experience, regardless of the industry. In the eCommerce industry, we are likely to see Chatbots being used with outbound messaging systems as a way to connect with and deliver notifications to customers. For instance, when a customer makes a purchase online that must be shipped to them, as soon as that shipment leaves the facility, a chatbot can notify the consumer. Or, when a package crosses over a certain predefined transit point, say halfway to the destination, a notification can be triggered to keep the customer informed of delivery time and date. This type of automated system not only frees up customer service representatives to do other jobs, but it also ensures that the consumer has a positive user experience.
5 Ways eCommerce Logistics are Impacted by Artificial Intelligence 4. Artificial Intelligence (AI) Will Address and Unearth Fake Reviews: Although competition within the eCommerce industry bodes well for companies, it can also bring out the worst in some businesses who choose to engage in digital slander. Unfortunately, some retailers are known to arrange for fake reviews or negative reviews to be posted about their competitors online. For most consumers and companies, it’s very difficult to tell the difference between an authentic negative review and a fake review. Artificial intelligence solves this problem by re-tracing when and how the fake reviews were posted in order to reveal the patterns associated with these motivated reviews. This will allow companies to blacklist retailers who try to game the system. This is a massive leap forward for eCommerce businesses as manually going through millions of transactions is impossible and the metrics needed to identify motivated reviewers too vast for it to even be a plausible option.
5 Ways eCommerce Logistics are Impacted by Artificial Intelligence 5. Artificial Intelligence (AI) Will Take Inventory Management to the Next Level With Predictive Analytics: Artificial intelligence uses predictive analytics in order to garner information from various touch points like buying preferences, competitor sales figures, reviews, product launches, returns, and retailers, which allows it to prepare for periodic surges in demand. Beyond this, AI can leverage the information gathered from predictive analytics to personalize user choice. For instance, if one particular consumer prefers a certain color or brand of clothing, they can be prompted with an advertisement when a new product becomes available by the brand or in that color.
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