Dondo vs. Manual listing management

Managing and updating product listings is one of the most critical but time-consuming tasks for any growing e-commerce business. Constantly adjusting prices, updating descriptions, and refreshing keywords and images are essential to stay competitive in today’s fast-paced market. However, manually handling these tasks, especially as your inventory grows, can eat up valuable time, hindering your ability to scale efficiently.

Dondo, powered by artificial intelligence (AI), is designed to automate the process of updating and optimizing product listings. While Dondo aims to reduce 99% of the time spent on these repetitive tasks, many small and medium-sized e-commerce businesses (SMBs) are still stuck managing listings manually. But how does Dondo compare to traditional manual listing updates?

The challenges of manual listing management

For small and medium-sized e-commerce businesses, manually managing listings can consume a significant amount of time and resources. Research from Shopify indicates that businesses can spend up to 30% of their workweek on repetitive tasks like updating product details, images, and pricing (Shopify, 2023). For a business managing 200 products, this can easily translate to 15-20 hours per week spent solely on listing updates (Neil Patel, 2023).

On top of this, manual processes are prone to errors. According to studies, human error in manual data entry can account for up to 5% of product listing inaccuracies, leading to incorrect information or outdated listings (PixelPlex, 2023). In an increasingly competitive e-commerce environment, such errors can damage customer trust and reduce sales.

How Dondo streamlines listing updates

Dondo is designed to automate listing management and significantly reduce the time required to maintain up-to-date, optimized product listings. Businesses that use AI-driven solutions, like Dondo, typically experience a 75% reduction in the time spent on these tasks, according to Datafeedwatch (2023). While Dondo is working toward reducing 99% of the time spent on manual updates, current AI technologies are already saving e-commerce businesses 15-20 hours per week on average (Fitsmallbusiness, 2024).

Here’s how Dondo simplifies listing management:

1. Seamless automation: Dondo integrates smoothly with existing e-commerce platforms, eliminating the need for manual updates. Businesses report that they save up to 20 hours weekly by automating tasks such as updating descriptions, prices, and images (Shopify, 2023).
2. Optimized for search visibility: Dondo ensures that listings are optimized for search engine visibility, using AI to identify keywords and best practices. According to Neil Patel (2023), businesses using AI-powered listing optimization often see a 20-30% increase in organic traffic, leading to higher conversion rates.
3. Error-free consistency: Manual updates can result in inconsistencies across platforms. Dondo ensures uniform, error-free updates across all listings, maintaining a cohesive and professional brand presence (PixelPlex, 2023).

Time and cost savings: An example for a business managing 100 listings

Let’s take the example of a small e-commerce business managing 100 product listings. If this business spends 10 hours per week on manual updates and pays an employee $25 per hour, the weekly cost for managing these listings manually is $250. Over a year, this adds up to $13,000 in labor costs just for updating product listings.

Now, let’s compare this with using Dondo. With Dondo, you could reduce the time spent on updates by 75%, effectively saving 7.5 hours per week. That means the business would only need to spend 2.5 hours on listing management tasks. In terms of labor, the weekly cost would drop to $62.50, which totals $3,250 annually. This alone saves the business $9,750 per year in labor costs.

Adding Dondo’s monthly fee of $49.99 for managing 100 listings, the total annual cost for using Dondo would be $599. Even with this cost included, the total annual expense for managing product listings would be $3,850, compared to $13,000 with manual management.

In this scenario, the business would save $9,150 annually by switching to Dondo. These savings could then be reinvested into growth activities such as marketing, product development, or customer acquisition.

By using Dondo, the business not only reduces costs but also frees up valuable time for strategic activities that drive growth, rather than spending time on repetitive, manual tasks.

Benefits of automating listing management with Dondo

Switching from manual listing management to Dondo offers several tangible benefits:

• Significant time savings: While Dondo aims to reduce time spent on listing management by 99%, current AI solutions have already proven to cut down time by up to 75%, allowing businesses to focus on growth instead of tedious updates (Datafeedwatch, 2023).
• Improved efficiency: Dondo ensures that listings are continuously updated and optimized, leading to smoother operations and better visibility on search engines (Neil Patel, 2023).
• Effortless scaling: As your product catalog grows, Dondo scales effortlessly, managing hundreds or even thousands of listings with ease—something manual processes simply cannot handle efficiently.

Let Dondo handle the updates while you focus on growth

For small and medium-sized e-commerce businesses, manually updating product listings can be a major bottleneck. With Dondo, you can reduce the time spent on these tasks by up to 75%, save thousands of dollars annually, and ensure that your listings are always optimized for success. As Dondo continues to innovate, our goal is to reduce 99% of the time spent on this process—allowing businesses to focus entirely on growth.

References

• Datafeedwatch. (2023). 14 Best Examples of AI in eCommerce [+ Use Cases]. Retrieved from https://www.datafeedwatch.com/blog/ai-in-ecommerce
• Fitsmallbusiness. (2024). AI in Ecommerce: Small Business Guide. Retrieved from https://fitsmallbusiness.com
• Neil Patel. (2023). AI in E-commerce: Benefits and Strategies. Retrieved from https://neilpatel.com/blog/ai-in-ecommerce
• PixelPlex. (2023). AI in Ecommerce: Benefits, Use Cases & Implementation Guide. Retrieved from https://pixelplex.io
• Shopify. (2023). AI in Ecommerce: Applications, Benefits, and Challenges. Retrieved from https://www.shopify.com