What’s New at VDCstore in September 2026: Introducing AI Commerce Chatbot on Adobe Exchange

September 2026 marks another step forward in VDCstore’s journey toward building smarter, more efficient eCommerce solutions. This month, our focus was on bringing AI-powered customer assistance and commerce intelligence closer to businesses using Adobe Commerce.

We introduced our AI Commerce Chatbot on Adobe Exchange, designed to help merchants deliver faster customer support, access product information more intelligently, and simplify common commerce-related interactions.

As online stores grow, managing customer questions, product discovery, and order-related requests can become increasingly demanding. Our latest AI initiative aims to address these challenges by combining conversational AI with product catalog data and practical customer support actions.

In this September update, we explore the new application, its key capabilities, and how it can help Adobe Commerce businesses create more responsive shopping experiences.

1. Introducing AI Commerce Chatbot on Adobe Exchange

Customer experience is a major factor in eCommerce success. Shoppers expect quick answers about products, order status, and available support options. When information is difficult to find or assistance is delayed, customers may lose confidence in their purchase decisions.

To help address these challenges, VDCstore developed the AI Commerce Chatbot for Adobe Commerce, now available through Adobe Exchange.

The application integrates with Adobe Commerce and uses product catalog synchronization with a Qdrant vector database to support context-aware responses to customer queries. This approach helps the chatbot retrieve relevant information rather than relying entirely on predefined responses.

The application is designed to support customer assistance and commerce-related interactions within the Adobe Experience Cloud environment.

Key Capabilities Introduced

AI-Powered Product Assistance

The chatbot is designed to provide relevant answers to product-related questions using synchronized catalog information. This can help customers find information without manually navigating multiple product pages.

Integrated Live Chat Experience

The application provides a live chat assistant within the Adobe Experience Cloud environment, giving users a conversational interface for seeking assistance.

Automated Order Tracking

Customers can initiate order-tracking requests through the assistant. The initial release includes an order-tracking workflow that uses the order number and email address to retrieve relevant order information.

Quick-Action Support Options

The chatbot includes shortcuts for common support needs, including order information, order tracking, email support, and WhatsApp contact. These options help users move toward the appropriate support channel more efficiently.

Product Catalog Synchronization

The application includes a product synchronization tool that transfers catalog information to a Qdrant vector database for AI-powered retrieval. Its resumable synchronization capability helps long-running catalog updates continue from where they stopped, supporting more reliable data updates.

Configurable Chatbot Experience

Merchants can configure chatbot greetings, branding, and product attribute mappings. This allows businesses to tailor the assistant to their store identity and the product information most relevant to their customers.

Simplified Deployment Through Adobe Exchange

The application is provisioned through Adobe Exchange and appears in the Adobe App Builder project without requiring manual CLI installation or source-code deployment for the app itself.

Technical note: Product synchronization and vector-search functionality require a running Qdrant instance hosted by the user.

2. Why AI Commerce Chatbots Matter for eCommerce Businesses

An online store operates around the clock, but its support team may not always be available to respond to every customer immediately. As product catalogs expand and order volumes increase, handling repetitive questions can consume valuable time.

An AI commerce chatbot offers another way to manage these interactions.

Faster Access to Information

Customers often have straightforward questions about products and orders. A conversational interface can help them access relevant information without searching through multiple sections of a website or waiting for a support representative.

Reduced Pressure on Support Teams

Order-status requests and routine product questions can occupy a significant portion of a support team's day. By providing an automated first point of assistance, businesses can work toward reducing repetitive manual interactions.

Human support remains important for complex issues, exceptions, and situations requiring judgment. The goal is to make routine assistance more efficient, not eliminate the need for customer service teams.

A More Convenient Customer Journey

Customers value clear and accessible information when making purchase decisions. An assistant that helps them find product details or reach the right support channel can reduce friction during the shopping journey.

Greater Operational Flexibility

As an eCommerce business grows, its customer support processes need to handle increasing demand. AI-powered assistance can provide a foundation for managing routine queries more consistently, subject to the quality of the underlying data and the application's configuration.

3. Connecting Product Data with Conversational AI

One of the important aspects of the new AI Commerce Chatbot is the connection between product catalog information and conversational search.

Traditional keyword-based searches often depend on customers knowing the exact terms used in product titles or descriptions. Conversational AI offers a different interaction model: customers can ask questions in natural language.

For example, a shopper might ask which product is suitable for a particular requirement rather than searching for an exact product name.

By synchronizing catalog data with a vector database, the chatbot can use vector search to identify relevant information for supported queries. The quality of these responses depends on catalog completeness, product attribute mapping, synchronization status, and the configuration of the retrieval system.

For merchants, this creates an opportunity to make product information more accessible through a conversational interface.

The same foundation can support the broader development of AI-driven commerce experiences, where customers interact with store information in a more natural and convenient way.

4. How the Update Benefits Adobe Commerce Merchants

The September release focuses on practical improvements to how customers access information and how businesses manage common interactions.

These capabilities can help businesses simplify customer interactions while building a foundation for more intelligent commerce operations.

Actual outcomes will depend on each merchant's implementation, data quality, infrastructure, and customer support processes.

5. Building Toward Smarter eCommerce with VDCstore

At VDCstore, our approach to eCommerce development goes beyond adding features. We focus on identifying operational challenges and building solutions that help businesses improve efficiency, usability, and scalability.

The AI Commerce Chatbot reflects this approach by bringing product information retrieval, customer assistance, and order-related workflows into a single conversational experience.

Our broader ecosystem includes Magento and Adobe Commerce extensions, AI-driven tools, analytics solutions, and Shopify applications. Each solution addresses a different aspect of running an online business, from managing store operations to improving customer engagement.

As AI adoption continues to evolve, we remain focused on developing practical applications that connect emerging technology with everyday business requirements.

Looking Ahead: The Next Step in AI-Powered Commerce

The September 2026 update represents an important milestone in VDCstore's AI development journey. With the AI Commerce Chatbot now available through Adobe Exchange, Adobe Commerce businesses have another option for introducing conversational assistance into their commerce workflows.

The release brings together several capabilities: product catalog synchronization, context-aware information retrieval, integrated chat, automated order tracking, configurable branding, and convenient support actions.

For merchants, the opportunity lies in making information easier to access, reducing friction in routine interactions, and creating a more responsive customer experience.

AI will continue to influence how customers discover products and interact with online stores. Businesses that adopt it thoughtfully can build more adaptable commerce operations while keeping usability, data quality, and customer trust at the centre of their decisions.

At VDCstore, we are committed to building solutions that help businesses move toward this future with practical, scalable technology.

Explore the AI Commerce Chatbot on Adobe Exchange: https://exchange.adobe.com/apps/ec/ab129v8p57/ai-chatbot

Discover how VDCstore is helping Adobe Commerce businesses bring AI-powered assistance into their eCommerce operations.