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How AI Supports Bigcommerce [Updated 2024]

Eleanor Hecks • October 20, 2022

 

Artificial intelligence (AI) is becoming increasingly common in various fields, especially in the e-commerce sector. Today, it’s helping online retailers provide an enhanced customer experience by using data to help business owners make better decisions. 

Additionally, AI enables e-commerce brands to predict the future accurately to stay ahead of the competition and prepare for upcoming trends.

Here are some of the ways AI is supporting Bigcommerce stores.

1. Offers Personalized Product Recommendations

Personalization is more important than ever, as 71% of brands say it improves customer loyalty and has allowed 48% to exceed their revenue targets. It’s the key to offering an enhanced online experience for shoppers by providing the most relevant product recommendations.

Yet, online retailers can only offer personalized experiences by collecting and processing customer data — which can be quite a task on your own. AI automates this by using machine learning to analyze customers’ purchase history. 

By using the data that AI gives you, you can implement better marketing campaigns and deliver a seamless shopping experience, which provides e-commerce businesses with a competitive edge against the competition. 

Without the use of these tools to deliver more personalized experiences to customers, you risk falling behind and turning potential customers into the arms of competitors. In fact, three quarters of retail CFOs believe staying up to date on these technological innovation trends is critical to keeping up with business. Integrating AI into existing processes is a must to increase customer satisfaction and remain competitive.

2. Optimize Prices

In e-commerce, changing your product prices according to supply and demand is essential. Yet, how would you know when and where to change the price? With AI-enabled technology, you can use it to optimize your pricing by accessing the right data.

AI tools enable predictive analytics that help you learn when to offer a discount and for which products. Essentially, they can calculate the right discounted amount necessary for sales.

In addition to optimizing discounts, AI can also help you adjust a pricing strategy in real time based on factors like:

  • Competitor prices
  • Market trends
  • Customer behavior

Continuously monitoring these variables enables price adjustments that keep businesses competitive while maximizing profit margins. This ensures you’re reacting to supply and demand proactively while staying ahead in the market. By offering the right price at the right time, you can boost sales and improve overall revenue.

3. Increases Logistics Efficiency

Machine learning is shining in the logistics department. It uses its predictive analytics to forecast demand, transit times and delays.

Smart logistics is all about enhancing inventory management and forecasting demand more accurately. It uses RFID tags to track inventory and real-time information through the sensors. 

As machine learning increases intelligence over time, e-commerce stores can make better decisions based on the predictions it makes. Overall, it will continue to enhance supply chain and logistics operations to ensure they’re on schedule.

4. Customer Segments

Today, e-commerce owners have more access to customer data and increased processing power. AI enables online operators to understand customers by analyzing and identifying trends more efficiently.

AI systems can explore complex options for customer engagement and continue to optimize performance once more data becomes available. Essentially, e-commerce marketers can leverage AI by establishing parameters and achieving higher precision.

5. Improves Customer Service

Chatbots enable e-commerce businesses to promote customer engagement and provide seamless customer interactions. AI-enabled chatbots are excellent for assisting customer support by:

  • Facilitating simple transactions.
  • Answering customer questions.
  • Directing customers to support agents.

With this additional support, customer service agents can focus on more complex customer issues — saving them time and increasing their productivity.

What’s more, chatbots and virtual assistants are available to assist anytime of the day. Therefore, they can address customer issues and questions and reduce customer wait times. 

6. More Targeted Advertising Campaigns

Aside from offering personalized product recommendations, e-commerce owners need to personalize their messaging across channels. AI enables these techniques, allowing you to customize your content further. 

It can help you achieve this by analyzing big data from previous customer interactions and purchase history. By enabling personalized messaging, you can hone in on your customers’ needs and deliver content that resonates most with your audience. 

Additionally, AI can use machine learning to recognize when a customer might take their business elsewhere. Using past churn data and existing customer behavior patterns, it predicts when a customer may need extra attention to retain them. Then, it will suggest personalized strategies to help retailers retain their customers. This tactic is highly critical in today’s e-commerce marketplace, as 67% spend more than newly acquired customers.

Deliver Better Customer Experiences With AI Technology

The future of AI may seem like a fantasy for e-commerce owners. However, this technology exists and it’s here to stay. By implementing AI into your business, you can enhance the customer experience, streamline processes and increase conversions.

Continue looking for ways to improve your e-commerce site with AI and set yourself up for future success.

Want to find out more?

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Eleanor Hecks

Eleanor is the editor-in-chief at Designerly Magazine where she shares marketing and design tips to help e-commerce businesses thrive. You can find her work on numerous business publications including Due and eLearning Industry.

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