5 Ways AI Is Revolutionizing Feed Management for E-Commerce Professionals

Why should e-commerce professionals use artificial intelligence to monitor, organize and manage product feeds across sales channels? With this technology, they could permanently transform their approach to feed management. 

The E-Commerce Landscape Is Expanding 

The e-commerce landscape is evolving. Now more than ever, consumers crave omnichannel experiences, prompting the online shopping scene to branch off from dedicated platforms. For instance, an estimated 2 billion people used social media to shop in 2023, proving the popularity and viability of different sales channels. 

One of this trend’s main driving factors is the surge of digital-native consumers. These people want to switch seamlessly between touch points to take full advantage of the convenience of modern technology. As their expectations and demands evolve, so do product feeds. In their raw form, they simply contain specifications and supplemental information. 

However, in the broader context of e-commerce, these data feeds are used to sell products on alternative sales channels, run advertisements and send relevant details to distributors. Professionals must improve their data monitoring, organization and optimization processes to navigate the online shopping landscape’s evolving trends. 

Many business leaders are doing just that with AI. As of 2024, 72% of them have adopted it, up from 55% in 2023. Moreover, 65% use it regularly. Not all use it for feed management, but they should — this technology’s analytical capabilities are unparalleled. It can process, sort or clean massive datasets in moments. 

Why Are Companies Leveraging AI Tools?

AI allows organizations to see productivity gains without sacrificing quality. Post-implementation, employees work 25.1% faster and complete 12.2% more tasks while improving quality by 40%. These improvements are thanks to data-driven decision-making, automation and advanced analytics. Algorithms can operate independently or alongside humans. 

Practical applications of AI in product feeds include enriching datasets with synthetic information, automating listing processes and searching for syntax errors. These use cases could be revolutionary for companies with hundreds or tens of thousands of products. 

Traditional product feed management involves time-consuming organization and optimization processes across sales channels. While standard automation-enabled software has sufficed for years, businesses now leverage AI. Others must follow their lead and adopt this technology to retain a competitive advantage. 

How AI Revolutionizes Feed Management

There are several ways AI is transforming product feed management. 

1. Guiding Decision-Making 

You can use AI to leverage product and sales details to source important customer information. These data-driven insights let you enhance your decision-making. This way, you can maximize conversion rates, helping you secure a positive return on investment and increase your revenue.

2. Improving Product Visibility 

AI ensures listing data is accurate and current, increasing the chances your products will appear in search results. It can also automatically send information to multiple sales channels simultaneously, increasing your visibility. Accurate results raise the sales chance by 35%, increasing revenue. 

3. Improving Categorization Accuracy

AI tools can categorize product feeds, optimizing for better search relevancy and advertisement campaign effectiveness. For example, Shoppingfeed’s dedicated machine learning model can automatically categorize and assign attributes with a 93% success rate on average.

4. Accelerating Listing Processes

Manually listing products is incredibly time-consuming. Even with software, handling the backend administrative tasks takes time. AI is different — it can understand context and make decisions independently, requiring little to no intervention. You can use it to automate the process, saving you time and getting your items up sooner than ever. 

5. Synchronizing Product Information 

Automation enables you to synchronize prices, descriptions and inventory levels across all sales channels — a challenging task if you rely on software or manual methods. This way, you can prevent stockouts and overstocking, helping you retain customers and secure sales.

The Bottom Line of Leveraging AI Tools 

Whether e-commerce professionals use this technology to improve categorization accuracy or enhance advertising, they can better understand how to drive people to the next step in the customer journey. This way, they can improve their sales, customer retention rates and brand visibility — even in competitive markets.