Research best use cases for AI ecommerce.

[shaownhasan]

It’s like your favorite sales associate, but with a techy twist. Instead of your favorite associate, AI can show a new shoe you might like or share details about relevant upcoming sales.

You may be familiar with the science fiction trope of an AI home owner data robot learning how to express human emotions. Well, we are not quite there yet—and perhaps we never will be.

But more practical use cases for AI and customer service are emerging. While not every AI scenario goes well, companies have tapped on AI to compose responses for more practical customer care engagements like searching for an item status. Using AI will improve efficiencies as customer paths are projected to become more complex over time.

As a bot learns how to communicate better, brands can also teach them how to provide more complex customer service, along with offering products based on a customer’s moods and preferences.

Experiment with AI tools to get a hands-on learning experience.
Pay attention to industry news surrounding artificial intelligence and machine learning.
Tap into solutions like Sprout’s upcoming Queries by AI Assist feature to build more robust listening capabilities and capture emerging customer preferences.
While some consumers want a personalized experience, others are concerned about their data and privacy rights. More consumers are aware that ecommerce sites collect data, but they don’t always know how this data will be used or whether the collection puts them at risk. There are mixed sentiments about the benefits of big data and how it impacts personalized shopping experiences.