AI Agents for Marketplaces: What They Are and How They Work

Many marketplace sellers continue to spend their days manually updating stock levels, answering many of the same questions repeatedly, and looking at their analytics through multiple Excel spreadsheets. Currently, in 2026, that is similar to sending a fax rather than using an email to send information. You will no longer have to worry about spending valuable time on such tedious routine tasks as you can delegate these to AI agents for marketplaces. With AI agents for marketplaces, you can stop the endless cycle of doing the same task over and over again and begin to make money.

In a nutshell, an AI agent is a virtual assistant that performs tasks for you but also learns from the data it processes and will eventually learn how to do those tasks more efficiently. The AI agent has access to real-time data and, unlike a script, it is able to recognize the context of the conversation and act accordingly to provide the best outcome.

So, what does that mean?

Product Management: The AI agent automatically manages your products by updating pricing based upon your competitors' pricing, synchronising stock levels across all your selling platforms and creating and updating the SEO descriptions of your products to prevent stockouts and selling products that are out of stock.

Customer Service Support: The AI agent provides 24/7 customer support and answers customer inquiries and questions from "When will my order be delivered?" to more complex questions about the size and characteristics of products. If a conversation gets too negative, the AI agent can seamlessly transition into a human agent and create a priority for the human agent. According to a study by McKinsey in 2025, organizations utilizing artificial intelligence (AI) have been able to dramatically reduce their response times from 12 hours down to 30 seconds while also assisting employees with 60% less job function workload.

Analytical Data Gathering & Forecasting: It tracks sales, conversion rates, and market trends to alert you to the optimum time to launch an advertisement, modify pricing, and/or warn you when there are risks associated with a sudden influx of negative feedback from customers.

ASCN.AI offers an easy-to-use no-code platform that allows you to develop your analytics architecture with a series of pre-made blocks, as well as connect your eCommerce platforms, CRM's and chat solutions; no need to work directly with developers to implement the design.

Examples of AI Agents Designed for eCommerce

Chatbots: These types of systems respond effectively to common customer inquiries, for example, processing an order and confirming delivery status, and use Natural Language Processing (NLP) to understand the general content and mood of the message. Therefore, if you determine that your customer is expressing anger in their inquiry, your chatbot will have the capability to automatically route them to a live representative.

Recommendations: AI agents can evaluate historical purchase data and customer behaviors to provide personalized recommendations to the customer, and increase the average sales transaction value. According to Salesforce Research, personalized recommendations to customers have been found to increase the average value of purchases by 25–30%.

Automation: Automation systems perform support functions such as synchronizing inventory, preparing accounting documents, as well as notifying customers of delays in the shipment along with suggesting alternate solutions.

By using ASCN.AI, you have the ability to develop an advanced agent that can perform multiple support tasks at the same time for your business.

Technologies that Support AI Agents

ML and NLP. AI agents are built upon Machine Learning (ML) and Natural Language Processing (NLP). ML is how an agent becomes more intelligent over time through the accumulation of data and experience. Natural Language Processing enables agents to interpret the nuances of human conversation, including emotional overtones and contextual implications.

For instance, when a customer expresses their displeasure about a product by stating "This is total trash and I want a refund", an agent equipped with NLP technology recognizes both the sentiment behind the message and the request for a refund. Based on this knowledge, it would respond by letting the customer know: "We will begin processing your return today and you can expect a courier to arrive at your home tomorrow for pickup. Is that okay with you?".

Current NLP models are primarily built using transformer architecture (GPT, Claude, BERT), which allows agents to work with extended dialogues while still retaining prior conversations. In addition, agents produce coherent responses and are able to understand very specific colloquial expressions and errors with an approximate 90% level of accuracy. However, about 10% of requests still require human assistance.

At ASCN.AI, agents have been designed specifically for the Web3 and e-commerce domains, so their training data has more relevance to the types of products sold on online marketplaces than the general purpose NLP models.

Links between AI Agents and the Marketplace and their relevant AI Integration systems

To perform its job properly, each agent must have a means to communicate with the corresponding marketplaces, CRM (Customer Relationship Management) systems, Warehouse systems, and Courier systems. The primary method of communication between those systems will be through the use of APIs, which allow the agents and the other systems to exchange requests and responses in an electronic format.

For example, when an order is received from a particular marketplace, that marketplace's API will send an order notification including order information to the agent. The agent will then check for the specified item in the warehouse, reserve the item, and immediately contact the customer through either Telegram or WhatsApp without any human intervention.

Primary channels of integration include:

• Marketplace APIs (Amazon, eBay, Ozon, Wildberries) to access product information, order status, and review information.
• CRM systems (Salesforce, HubSpot, Bitrix24) to maintain and communicate with the customer.

The complete setup of ASCN.AI can be done visually, without coding at all, using our no-code editor.

Real-world Examples of Using an AI Agent

Case Study 1: Electronics Retail on Ozon – An electronics store owned by one merchant based in three cities spent 4 hours per day updating prices and inventory manually. Upon using the ASCN.AI agent, prices were updated every 15 minutes and inventories automatically synced. The routine was nearly eliminated and as a result, within three months there was an 18% increase in revenue because of timely pricing and eliminating inventory discrepancies.

Case Study 2: Clothing Retail on Wildberries – A clothing retailer used to receive 200 to 300 requests a day that operators could not keep up with before implementing an NLP chatbot. The bot was able to respond to 70% of those requests, including determining sizes with charts. The load on support decreased 60%, and chat-to-sale conversion increased 22%.

Case Study 3: Amazon's Rufus AI (2024) – Amazon introduced their Rufus assistant in the U.S. to help customers select products and compare options, resulting in increased sales. The Rufus assistant is able to handle millions of requests daily and increased the average order value by 12% due to fast search capabilities and personalized support. The functionality of this product is on par with ASCN.AI, but it does not require the significant investment to implement that ASCN.AI does.

The Results And Efficiency Once Implemented

Response time decreased from 12 hours to 30 seconds, and as a result, conversion increased by 15% to 30%.

Support costs decreased by 40% to 50% because of the use of automation.

Conversion rates increased by 15% to 30% because of the personalization of the service, and the speed of processing the order.

Forecasting of future demand was 85% to 90% accurate; thus, there were no shortages or overproduction of products. Using a virtual assistant saves the owner 15–20 hours a week that they spent before on routine activities. Most importantly, an owner now remains free of running day-to-day operations; the agency is always on, working for you 24/7, and giving you back time to focus on scaling your business.

There are benefits and challenges for businesses in the use of virtual assistant technologies.

Benefits to Marketplace Owners: Efficiency— A virtual assistant can handle hundreds of requests at the same time which allows your business to operate with a smaller workforce. Time-Saving— A Virtual assistant helps to automate many of the owner's routine tasks therefore allowing the owner to focus on growth and sales. Increases Sales—Personalised responses and rapid answers to questions can significantly increase sales. Reduces Errors—An AI virtual assistant follows prescribed algorithms that help to remove errors. A Positive Customer Experience—According to PwC, 73% of customers choose businesses that offer a positive customer experience.

For instance, a spare parts seller increased chat conversion from 8% to 19% due to customers receiving immediate detailed information on product compatibility from their Virtual assistant.

Challenges and Limitations: Integrations—Integrating with a non-standard CRM and the lack of an API for the marketplace can sometimes be challenging. However, ASCN AI has made it easier through pre-built connectors. Quality of Data—The accuracy and completeness of the product database is essential to provide accurate recommendations. Natural Language Processing (NLP)—About 10% of all requests may require further clarification due to the use of regional vernacular or typographical errors. Expectations—Although the AI virtual assistant handles routine operations for you, the AI virtual assistant will not replace your need for strategic decision-making or the wisdom you will gain through experience. Training Employees—Dreaming of creating a Virtual Assistant business without any programming skill is unrealistic; your employees need to be trained to work collaboratively with the AI Virtual Assistant. Compliance—In your company, since you will process personal data, you must also comply with privacy laws such as the GDPR and 152-FZ. At ASCN AI, the owner will have to take steps to anonymize and secure their data.

Marketplace AI Agent Comparison

ASCN.AI is a no-code AI created for Web3 and ecommerce websites. This means anyone can set it up in their own system due to its usability, thus removing the need for programming skills. ASCN.AI has available connectors to allow integration into the most popular ecommerce platforms. ASCN.AI pricing starts at a very affordable rate, with the entry-level pricing much more affordable compared to custom-built solutions. The ASCN.AI support staff is available to assist with all of your questions and problems 24 hours a day, 7 days a week, and typically responds within minutes. A variety of educational materials are also available to aid in the development of your business.

Pricing Summary / Summary of Marketplaces

When evaluating your pricing plan, I recommend considering three key factors: the number of products you have listed, the anticipated volume of requests, and the amount of required integration work needed to complete your project.

The following summarizes the ASCN.AI service levels:

ASCN.AI Customer Success Stories and Reviews

"The ASCN.AI platform has saved my company 2 hours every day by eliminating the manual price update process. Now our agents can spend their time finding more suppliers and increasing our inventory."

"Previously we were receiving over 400 customer support inquiries each day, and our operators were overwhelmed. The ASCN.AI Chatbot is now able to process approximately 65% of the requests on its own. Our average response time has decreased to 15 seconds, and our chat conversion has increased from 10% to 18%."

"With the subscription, we were able to recoup the cost in just one week!" As an example, one vendor utilized many channels for selling products and used a very manual approach to synchronize orders. Due to this manual synchronization, many of the vendor's orders were canceled. Using ASCN.AI, the vendor has a continuously updated connection to all of their marketplace's APIs and the vendor's warehouse APIs. An update of all API Data will take place every ten minutes, which resulted in order cancellations dropping from 12% to just .8%, an increase in revenue of 22%, and a time savings of about 20 hours a week.

In a case study for Falcon Finance (FF), FF's agent monitored the arbitrage market and generated $1,000 in income in two responses to prompts. During the Flash Crash on October 11, FF's agents monitored and tracked price changes and leveraged that data to help traders to profit from Arbitrage.

Integrating AI Agents with Marketplaces

How to Connect Your Agent to Your Marketplace

1. Create an Account and Select a Tariff
2. Obtaining API Keys: You'll need to generate access tokens for all of your marketplaces.
3. Configuration of Your Agent: Use the visual editor to create workflows.
4. Test Your Agent's Performance
5. Launch the Agent into Production

Requirements for Maintaining Your Agent's Security

• Compatible with: APIs connecting CRMs and marketplaces.
• Cloud Based Solution: The agent operates in a cloud environment and the only requirements are internet connectivity and a web browser.
• Secure: URL's are encrypted and only accessible to the user.
• Legitimate: Data is anonymized and adheres to 152-FZ and GDPR regulations.
• Backup: All settings are automatically stored in the cloud.

Order an AI Agent Designed for Your Marketplace

If You Are Interested in Dropping Routine Tasks and Increasing Your Sales. By installing an ASCN.AI agent, you can connect with a completely automated price and stock updates, instant responses to customers, personalized offers for increasing sales, analytic and forecast tools for smart decisions, saving 15–20 hours of time per week, and achieving growth of 15–30% in conversions and revenue, in as little as 15 minutes. To start, register on the ascn.ai website and select the "Start" plan with 14-day free trial and set up your automated agent using the knowledge base tips provided. If you need assistance, you can typically expect to receive a response in under 10 minutes from either email or Telegram support if you require assistance with set up.

Frequently Asked Questions

Do I need programmers to create an AI agent?
There is no need for a programmer when using ASCN.AI; all configuration is done through a No Code Editing Tool. If you have experience using a spreadsheet application, you will be able to use the tool. Templates and support are readily available.

How much time will it take to implement a basic chatbot?
A basic chatbot can be set up in approximately 30 minutes to 60 minutes. More complex scenarios may take several days to set up and test, or as long as two weeks to train a team.

Does the AI agent replace my support team?
No, the AI agent is designed to free your support team from 60–70% of their routine inquiries, allowing them to focus on the more complex requests.

What if the AI agent makes an error?
An AI agent operates based on the configuration you set up for it. An AI agent has a safety mode, meaning it will only reply to a customer after the operator has reviewed and approved its reply.

How does the AI agent understand slang and spelling errors?
AI models are trained on large volumes of data, and AI models will generally identify and interpret slang with 90% accuracy. If it cannot determine an answer based on the query, it will either ask for clarification or refer the question to a live human representative to address.

Will I be able to integrate multiple marketplaces into one AI agent?
Yes, an AI agent can be integrated with multiple platforms and channels at the same time and maintain a common context.

Conclusion

Marketplace AI Agents are no longer an emerging technology; in 2026 they will likely become a standard. They help companies manage work load, drive sales and provide a better customer experience. While the AI Agent will not provide the same level of service for an entire company, the AI Agent will take care of a large number of the repetitive tasks and provide time for scaling. ASCN.AI enables full utilization of the AI agent from one half hour to two weeks – all without any additional risks or complexities.

Sign up for the Free 14-day start plan, set up your agent and in approximately one week you will see an increase in conversion rates and a reduction in repetitive work as well as satisfied customers. Today, as speed and accuracy are critical, the AI agent will serve as your most valuable asset. Don't fall behind, automate today!