Resolve order requests from chat
Interpret order-related requests from the team chat, determine the appropriate retrieval or update action, and deliver results directly in the conversation.
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An AI agent triggered via [chat platform, e.g. Slack, Microsoft Teams] interprets natural language requests from support agents and decides whether to retrieve order information or update records, such as shipping details, cancellations, or fulfillment statuses. It then executes the action against [e-commerce/order management platform, e.g. Shopify, custom order management system] and delivers the results directly back in [chat platform, e.g. Slack, Microsoft Teams].
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Problem
Customer support teams constantly switch between their chat platform and the order management system to look up order details, update records, and handle customer requests. This context-switching slows response times, increases data entry errors, and pulls agents away from customer conversations.
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Solution
An AI agent triggered via the team's chat platform interprets natural language requests from support agents and decides whether to retrieve order information or update records, such as shipping details, cancellations, or fulfillment statuses, then executes the action against the e-commerce backend and delivers results directly in the chat conversation.
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Impact
Support agents can retrieve and update order information directly from their chat platform without switching to the order management system, resulting in faster customer response times and fewer manual data entry errors.
Benefits
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Eliminates system context-switching
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Faster customer response times
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Reduced manual data errors
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Streamlined order operations
Solutions
Adapt at speed with visual-first automation and AI
Make drives efficiencies, solves problems, and speeds innovation by breaking down silos across your business.
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