Ecommerce has experienced exponential growth during the past decade, driven by the convenience of online shopping and increased integration of advanced technologies. Among these technologies, AI stands out as a game-changer, revolutionising how businesses interact with customers and manage their operations. AI solutions have brought unprecedented enhancements to the customer experience, operational efficiency, and strategic decision-making in ecommerce.
From personalised product recommendations to dynamic pricing optimization, AI use cases in ecommerce is reshaping the landscape of online retail, offering tailored shopping experiences, streamlined inventory management, and enhanced customer support.
The Top AI Use Cases In Ecommerce
Here are the top AI use cases in ecommerce.
Help Customers
Online shopping habits have a serious flaw: even a little task can need hours of research. That is why AI use cases in ecommerce can gain a whole new dimension with the help of chatbots and shopping assistants.
These suggestion engines, powered by LLMs, are better able to deal with freeform, lengthy questions (“Show me blue outfits for my niece’s summer wedding”). Shoppers save a lot of time because of how quickly they grasp user intent and provide precise product results.
Helping customers find the perfect clothing for any event or directing them to related categories (like “What kitchen supplies do I need to make ratatouille?”) are just two examples of the many uses for shopping assistants.
In addition to increasing conversions, these AI-driven engines will save customers time by surfacing personalised products from a vast product catalogue.
Dynamic Pricing
Some ingenious methods that online retailers, especially B2B retailers, are using to implement dynamic pricing are as follows:
Deciding on the optimal pricing for every product. Similar to how AI-native solutions can change product rankings, they can also change prices depending on how likely people are to buy goods at specific prices. (This is the max a client may pay.) This method determines the optimal worldwide price for a product by taking a bird’s-eye view of consumer interactions.
Offering each customer the optimum price based on predictions. Artificial intelligence can change the pricing of an item based on a customer’s clicks, cart items, and transactions to maximise the chance of a conversion for that specific customer. To attract first-time buyers or budget-conscious consumers, AI may opt to provide discounted rates, for instance. Put simply, AI has the ability to provide tailored, real-time pricing.
Making the best pricing available to all buyers and accounts. Pricing of products in B2B ecommerce can be challenging because of the wide variety of products, constraints, and criteria that must be considered for each individual account. You may tailor the way customers from different accounts view your products and prices with the help of the correct personalisation software.
Inventory Management and Forecasting
Keeping track of inventory levels may be a huge pain when dealing with dynamic product catalogues, fluctuating consumer needs, and supply chain interruptions.
One way to eliminate uncertainty from inventory management is to use an AI platform that is tailored to ecommerce. You may improve your stock forecasting and planning with the help of in-depth analysis of consumer data, including purchasing behaviour and seasonality.
When it comes to managing inventory and predicting sales, AI can be incredibly helpful to:
- Examine the sales throughput from the past, present.
- Foresee, document, and promptly resolve vendor problems.
- Look ahead and anticipate shifts in consumer demand.
- Determine how shifts in the market might influence revenue.
Enhance Customised Search Results
One of the most effective ways to reach consumers where they are and propel company objectives is through personalisation. Given that 67% of American consumers anticipate that companies will offer them merchandise that is relevant to their needs, this is probably the most important use of AI in online shopping.
Getting customers to click on the correct products in search results is crucial for online stores. By utilising clickstream data, large language models (LLMs), AI-native search engines alleviate this burden by producing appealing search results tailored to every user.
With AI-first search, ecommerce firms can make results highly personalised based on users’ real-time actions while purchasing on their site. Businesses benefit greatly from increased revenue, retention of customers, and an improved customer experience.
Improve Product Descriptions
In order to meet the demands of your customers, assist them in finding the products they desire, and improve their shopping experiences as a whole, you must have accurate product descriptions. Remember that 60% of shoppers want an improved way to find products.
Customers are shown a wider range of products and are able to find what they’re seeking for faster thanks to AI-powered attribute enhancement. The best AI system will use your catalogue’s text and image data, along with user behaviour data, to update descriptions and classifications on a per-user basis in real-time. It makes search, filtering, and product discovery less frustrating for customers.
Enhance Omni Channel Presence
Enhanced customer interactions aren’t the only areas where AI has shown to be useful.
Email, social media, ads, and other forms of personalised content delivery can be enhanced by processing behavioural and zero-party data that your customers actively submit.
Gather this information using an AI-driven product discovery and search platform, then share it with other ecommerce systems to create a robust, all-encompassing omnichannel consumer experience.
Using Text Autocomplete
The autocomplete feature, sometimes called predictive text, is a search tool that suggests products to consumers as they type. Designed to improve the shopping experience for customers and boost conversions, it’s an obvious progression from product search.
There are numerous advantages to using an AI-native solution to power predictive text, including a 13% boost in conversions and a 16.5% rise in average order value (AOV).
Product Suggestions
Retailers can streamline the customer experience with AI-powered product recommendation engines by suggesting relevant, on-brand products to customers at every stage.
Online store teams can train AI to recommend products based on real-time data that prioritises ecommerce business metrics like RPV, profit margin, and abandoned cart rate. Sites like the homepage, category pages, pop-ups, emails, and more are prime locations for placing recommendations where customers are likely to engage.
For instance, in a “You Might Also Like” recommendations pod, if a customer expresses a preference for a particular brand, that company’s products will appear higher in search results, collections, category pages, and throughout your ecommerce site.
Customer Segmentation
Using segmentation, you can gain a better understanding of your customer and enhance your personalisation efforts.
Marketing efforts can be fine-tuned by dividing consumers into several groups according to their demographics, interests, and purchasing habits. Brands may improve their conversion rates and other key performance indicators (KPIs) by using AI-powered solutions to provide customers with more relevant promotions and products.
Actionable Retailing Insights
By utilising your product search and discovery solution, you may address crucial inquiries regarding the consumer experience, such as:
- In what ways might users rephrase their queries?
- How often do searches provide no results at all?
- What popular searches could use synonyms?
- How are consumers limiting their search or exploring the site’s features?
Choose a platform that gives you unfettered access to customer data and gives you insights you can use to make important decisions. You can use it to improve business operations and get closer to your key performance indicators.
Conclusion
From personalised product recommendations and dynamic pricing to advanced customer segmentation and fraud detection, AI applications are revolutionising how ecommerce businesses operate. These technologies enable companies to enhance customer experiences, streamline operations, and ultimately drive profitability. By adopting AI-driven solutions, ecommerce businesses can stay ahead of the competition, meet evolving customer expectations, and achieve sustainable growth.
Are you ready to elevate your ecommerce business with the power of AI? Appscrip’s AI Chatbot solutions are designed to provide personalised interactions, customer support, and seamless integration with your existing systems. Our advanced chatbots can help you enhance customer service, boost engagement, and optimise your operations.
Contact us today to learn more about how Appscrip’s AI Chatbot solutions can transform your ecommerce business!
