Pandemic to pandemonium: The turning point for AI-driven apps
Online shopping is nothing new. But I remember it caught on during the pandemic. It soared by 55% in the US alone in 2020, according to a report by Algolia. Meanwhile, the AI software market hit over $62 billion in 2022. It’s not a coincidence that both sectors have been on an upward trajectory.But why exactly did AI-driven e-commerce catch on at this time?
Well, demand for online shipping services went up, while staff for retailers headed the other way. This dearth in demand and supply made many businesses welcome AI to the fold, helping to shepherd purchases and guide e-commerce experiences.Important trends and use cases of artificial intelligence in e-commerce apps
Conversational chatbots
AI-driven chatbots are fast becoming the first line of customer service in commerce apps. These can receive leads, answer their initial customer and even hand over the sale to a human agent to close the deal if need be. We need not search far and wide to get great examples of chatbots in action. Here are a few common ones:- Sephora’s AI, e-commerce shopping assistant – Sephora is an e-commerce brand specialized in cosmetics products. Its AI chatbot gives shippers a short quiz to understand their needs and offers product recommendations to encourage purchases.
- eBay ShopBot – If you’ve used eBay before, you may be familiar with this one. It’s basically a virtual shopping bot that works via Messenger. You can ask it a question, and it will provide instant answers and direct links to the goods you’re looking for.
- Botsify – This omnichannel live chat service has a huge range of auto-responses that it provides based on a shopper’s first interaction with your brand. It can help you capture and guide leads through your sales funnel.
Voice shopping
Alexa and Siri provide great examples of intelligent natural language processing in action. These smart assistants can understand human language, decipher its meaning, and offer an appropriate response. I’ve seen many AI developers jumping onto this bandwagon to add voice-driven AI search features to their e-commerce apps. Compared to traditional solutions that require a lot of scrolling and clicking, AI-driven features make work light and more convenient. You can look up items by voice commands, and even complete entire purchases without typing a single word. These features are typically linked to smart speakers such as the ones I mentioned earlier and are helping brands elevate online shipping experiences like never before. Also Read: How Artificial Intelligence Used in TransportationDynamic pricing
In the past, retailers would just set a flat rate for their products. Then customers would buy what they need at that price, no matter the prevailing market conditions. This essential meant that you’d miss potential revenue opportunities in case demand for that product went up unexpectedly. Now enters AI-driven dynamic pricing features. This allows your e-commerce app to automatically adjust prices depending on real-time data. If demand goes up and your competitors are out of store, you’ll get an alert to adjust your prices so that you can cash in on the trend.Augmented and virtual reality
e-commerce apps are taking their game up a notch with intelligent AR and VR-driven apps. These help to simulate and replicate online shopping experiences with users not having to leave the comforts of their homes.Here are some examples of this that I found particularly interesting:
- IKEA Place – Imagine being able to scan a room and envision how a piece of furniture would look like in a space: That’s exactly what this app is about. It enables you to try out different options with AI-powered shopping before you can make a decision.
- Nike SWOOSH – Taking eCommerce to a whole new level, Nike launched a marketplace exclusive for virtual products. You can access this marketplace via an AI-driven app to trade virtual sneakers with NFT.
