The Pulse
DataX launches customizable AI concierge for customer service
DataX has begun offering an AI customer-service agent that businesses can tailor to their products and operating rules. The service can combine customer data with information from connected reservation and inventory systems.
DataX has begun offering an AI customer-service agent that businesses can tailor to their products, services and operating practices. In a Japanese-language release on November 12, the company said b→dash AI Concierge is intended for industries including hotels, apparel and real estate, helping customers choose products or services and make purchase or booking decisions.
The concierge builds on AI Chat Commerce, announced in March 2026, by adding company-specific service rules and connections to businesses’ systems. AI Chat Commerce will remain available.
Setting the rules for conversations
Businesses can configure the agent’s answers and the way it conducts conversations around their own definitions and criteria. DataX says its service engineers consult with each customer to establish those rules and conversation flows, then check the resulting interactions.
For example, a business could define recently popular products by reference to items with high purchase counts over a period such as the most recent 30 days. The agent would then use that definition when responding to a customer asking about popular products.
The conversation can also be configured to seek additional information when a customer’s preferences or requirements are unclear. The design work at implementation takes account of each business’s products, services and operations.
Connections and customer data
The agent can connect to reservation and inventory systems through application programming interfaces, retrieving information during a conversation. Depending on the business, that information can include hotel room availability and rates, apparel inventory, or property availability and local market prices.
Because systems and API specifications differ by company, DataX’s service engineers handle the integrations according to each customer’s requirements. DataX says the connections allow the agent to avoid recommending sold-out items or fully booked rooms and to make suggestions using current availability.
The concierge can also use customer attributes and purchase or browsing histories stored in b→dash. The company says its engineers work with each business to decide which information to use and how to use it in recommendations.
Businesses can select the service rules, system connections and customer-data uses that fit their needs, and combine them within a single conversation. The customer data can include information already used for email or LINE campaigns.
Examples and future work
DataX presented hypothetical examples rather than customer deployments. In a hotel scenario, the agent would interpret a request for a relaxing stay using criteria agreed with the business, such as a room with an open-air bath or a late checkout. It would then draw on past stays and retrieve availability and rates from the reservation system before suggesting a plan.
For an apparel retailer, the agent could consider a shopper’s preferred sizes, colors and brands alongside inventory by size and color. A real estate example combines browsing and inquiry history with a company’s property information and market-price data published by public agencies.
The available functions and information depend on each company’s data and connected systems. DataX plans to broaden the tasks and systems supported by the concierge, and is also working on adding a semantic layer to b→dash, announced in October 2026, so AI can refer to companies’ definitions of terms and figures.