Do you know, that AI in ecommerce is expected to increase sales by 59%? A strong stat that will showcase us how important it is to have AI integrated into your store. Thus we have created this blog that will inform you about how generative AI can elevate your ecommerce store.
So, let’s dive in and check the content of this post:
10 ecommerce use cases for generative AI
Forward-thinking digital titans are testing methods to integrate generative AI into their marketing approaches. Throughout the whole supply chain, generative AI may assist in increasing business efficiency and provide customers with a better, more tailored experience, which can boost your bottom line.
1. Streamlined content creation
Produce “evergreen” marketing and brand content (buyer’s guides, how-to manuals, product guides, etc.) automatically and publish it when needed.
2. Personalized product search and recommendations
Deliver dynamic descriptive product information that speaks to customers more deeply and gives them the customized experience they want—at scale—by using their intent and preferences.
Commerce operations, administration, and analytics
3. Product descriptions for SEO
Generative AI can produce compelling product descriptions that help SEO optimization techniques, preventing product descriptions that are either completely missing or not optimized for search engines.
4. Crowd-sourced customer feedback at scale
Utilize AI to look for consumer evaluations on various markets, channels, and sources for particular products. Simplify the process of gathering this data and feedback in order to better manage your brand, react to consumer comments more quickly, and raise customer happiness.
5. Product quality analysis
By evaluating photos of products in production, AI can assist in identifying abnormalities, flaws, and production errors. This allows analytics to improve product quality across R&D and the delivery process.
Supply chain optimization
6. Supply chain disruption predictions
With proactive identification of external elements, such as weather, finance, or geopolitics, which can all have an impact on crucial supply chain processes, generative AI’s predictive insights can identify impacted orders.
7. Intelligent inventory forecasting
By examining previous orders and client preferences to predict demand and recommend inventory levels, you may automate inventory management.
Bridging the online and offline experience
8. Smart(er) store associates
Integrate AI and machine learning at every point of contact, including in-store and background operations. Give store employees the ability to monitor, control, and restock inventory levels in real-time to help businesses be better equipped to handle unforeseen circumstances.
9. Personalized in-person checkout experience
Utilize generative AI to generate and provide store managers with customized order summaries throughout the checkout process, increasing the likelihood of upselling and cross-selling while also enhancing the consumer experience.
10. Chat for “digital humans”
Create content for digital avatars with ChatGPT to increase consumer engagement and personalization. To add even more human-like features, use technologies like the Microsoft Whisper API, which provides speech-to-text accuracy comparable to that of a human. Make better use of conversational commerce features to provide real-time answers to inquiries about order status or to provide tailored recommendations to specific customers.
Conversational commerce with generative AI
Let’s examine in more detail how generative AI may affect your capacity to provide excellent commerce experiences.
For the past several years, conversational commerce has gained a lot of attention as a typical use of generative AI in the business world. In a nutshell, conversational commerce is the fusion of shopping and communications technologies. Businesses now often have chat features on their websites or mobile applications to assist customers with the purchasing process and provide basic customer support.
Brands may advance conversational commerce with the help of generative AI. It may be incorporated into every digital interaction you have to promote channel personalization. As your customers shop, generative AI can pick up on their preferences, creating chances for you in the form of a personal shopper, customized product descriptions, and the purchase process.
The shopping journeys of today are largely brief and linear.
Assume, for example, that you go shirt shopping in search of a shirt in a particular color or style. After that, you glance at pants and then shoes. These queries are handled as separate interactions by most websites, but they weren’t for you.
Some websites attempt to address this by using chatbots to mimic salespeople and pose a sequence of pre-programmed questions to you. This is a terrible and artificially artificial experience.
Using generative AI to power your website would be a superior idea as it would provide context and sophisticated intelligence to an otherwise typical online buying experience. By doing this, you may find out what a customer wants while they are looking for a shirt and then use that information to tailor their experience when they are looking for pants.
On-demand, personalized product descriptions
Rewriting product descriptions in real time to each visitor based on their preferences is another way that generative AI improves conversational commerce. This generates a customized process for product discovery, similar to what customers would receive in-store under the supervision of a sales assistant.
Imagine that you are doing some online bike shopping. According to the information on the website, you are looking for a bike that is pleasant to ride, can handle dirt and tough terrain, and is based in Minneapolis, Minnesota, which has a lot of lakes with bike trails. With such data, generative AI can create a customer experience that really speaks to them by altering product descriptions and information based on visitor context, site searches, and content clicks.
Reorder intelligence for routine purchases
Assume that a customer frequents Target three times a week on average. Your weekly coffee bean purchases and your preferred shampoo may be remembered by Target thanks to your digital interaction, which may also remind you when to restock every few weeks.
For your next shopping trip, add-to-cart recommendations or automatically created shopping lists would streamline these recurring purchases and establish a standard of customer service that many consumers already demand. These improvements in the experience can be made with generative AI.
3 Ecommerce Stores Using AI
- Amazon is a pioneer in using AI for product recommendations. Its recommendation engine analyzes user behavior and purchase history to suggest relevant products.
- The company also uses AI-powered robots in its warehouses for tasks like picking and packing orders.
- ASOS, a fashion e-commerce retailer, employs AI to provide personalized shopping experiences and product recommendations to its customers.
- Zara uses AI to optimize inventory management and predict fashion trends by analyzing customer data and social media trends.
- Wayfair, an online furniture retailer, uses AI to help customers visualize how furniture will look in their homes through augmented reality (AR) and virtual reality (VR).
- Nordstrom uses AI-powered tools to analyze customer reviews and feedback, helping them make data-driven decisions to improve their product offerings.
Now, in the end, we hope that through this post you were able to gain knowledge on how generative AI can elevate your store. However, if you are looking for an ecommerce development company that can help you with AI development, then you should check out Appic Softwares.
We have an experienced team of AI developers who can help you integrate AI into your Ecommerce store. Moreover, you can even hire dedicated developers from us and let them manage your store.
So, what are you waiting for?