Successful cases of using AI on EC sites

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Here we will introduce some success stories of using AI on e-commerce sites.

1. Increase sales by utilizing recommendation functions
2. Improve the quality of online customer service and support
3. Optimize inventory management by utilizing demand forecasts
4. Set and adjust prices according to the competitive situation
5. Prevent abandoned carts and promote purchases
6. Improve user experience by improving site search
Increase sales by using recommendation functions
AI-based recommendation functions are one of the factors that greatly contribute Forex Email List to increasing sales on e-commerce sites. For example, AI can promote cross-selling and up-selling by providing optimal recommendations in real time based on customer behavior data.

Another feature of AI is that it can compare multiple recommendation logics like AB testing and automatically find the optimal suggestion method.
The introduction of a recommendation function that utilizes AI is an important measure that not only improves customer satisfaction but also directly leads to increased sales on EC sites.

Improving the quality of web customer service and support
AI-based web customer service and customer support are gaining attention as an effective way to improve the service quality of e-commerce sites. In particular, AI chatbots can respond to customer questions in real time 24 hours a day, instantly resolving doubts about product details and purchasing procedures, leading to a smooth purchase.

Another benefit of AI is that it can analyze data obtained from customers and propose more effective customer service strategies, making it easier to improve and implement measures to promote sales.

Using AI to improve web customer service and support is an effective way to build trust with customers and provide competitive services.

Optimizing inventory management using demand forecasts
When operating an e-commerce site, attention tends to be focused on front-office tasks such as site design and advertising, but in reality the following back-office departments are also important sections.

・Ordering
, purchasing
, inventory management
, logistics
In particular, proper inventory management is essential to deliver products to customers quickly and accurately.
AI can also help with proper inventory management. By analyzing seasonal sales trends and consumer behavior data, it can prevent sales opportunity losses due to over-ordering or out-of-stock items.

In addition, demand forecasting using AI also helps optimize logistics, enabling products to be delivered to customers more quickly. Optimizing inventory management using AI is considered important because it balances inventory cost reduction with efficient product supply, thereby increasing the stability and competitiveness of EC site operations.

Competitive pricing and alignment
On e-commerce sites, many customers compare prices to find the best deal possible, so it is important to set and adjust prices optimally based on the competitive situation.

However, setting appropriate prices while understanding constantly changing market trends is time-consuming, and careless price reductions pose the risk of squeezing profits.
Dynamic pricing using AI is a useful way to achieve appropriate pricing.

Dynamic pricing using AI is a method that automatically derives optimal prices from various data, enabling you to maintain your competitiveness while ensuring profits.

For example, you can implement flexible strategies such as raising prices when demand is high and inventory is limited, but react quickly to adjust prices when competitors lower their prices.

Many businesses are moving towards introducing dynamic pricing that utilizes AI as an effective measure to combat the intensifying competition in the e-commerce market.

Preventing abandoned carts and encouraging purchases
On an e-commerce site, "cart abandonment" refers to the phenomenon in which a customer places an item in their cart but leaves without completing the purchase. It is difficult to reduce cart abandonment to 0%, but it represents a significant loss of revenue opportunities for businesses, so it is necessary to consider how to reduce cart abandonment and improve sales efficiency.

Here are some common examples of measures to combat abandoned carts:

・Send reminder emails and notifications
・Simplify the process to purchase
・Improve the UX/UI of the entire site, etc.
One particularly effective measure to combat abandoned carts is the introduction of follow-up tools that use AI. Using AI-enabled tools allows you to automate timely and appropriate follow-ups with abandoned customers, which helps prevent reminders from being missed.

Using AI to prevent abandoned carts is a useful way to achieve quick and effective follow-up with customers and improve the conversion rate of your e-commerce site.

Improved site search to improve user experience
One example of the use of AI on e-commerce sites is the introduction of personalized search.
An advanced on-site search engine that uses AI displays products that match each customer's preferences at the top of the results based on their past search keywords and browsing history.

In addition, AI can handle ambiguous keywords and spelling mistakes and present appropriate search results, so its introduction creates an environment in which purchasing behavior can be carried out smoothly.

Using AI to improve site search is one of the key factors that increases customer satisfaction and supports the success of an e-commerce site.

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"GENIEE SEARCH" is a site search tool that has been implemented in over 1,000 companies.