Salesforce detailed how AI agents can transform order servicing across five real-world scenarios (Salesforce Commerce Blog). The first addresses WISMO (Where Is My Order?) inquiries, which make up the majority of inbound order-related cases. An AI agent connected to live order data can confirm shipment status and provide tracking links in under 60 seconds, eliminating system toggling and hold times. The second tackles returns: 89% of consumers are less likely to repurchase after a bad return experience, while 97% would buy again after a positive one (Salesforce Commerce Blog). A well-configured AI agent can verify return eligibility, apply company policies, and offer refund or exchange options in real time. The third scenario covers order cancellations and modifications, where AI can check fulfillment stage, determine eligibility, and execute changes within the narrow window before warehouse pickup.
Beyond reactive support, Salesforce highlighted two forward-looking capabilities. AI agents can proactively detect fulfillment delays or split-order backlogs and notify customers before complaints arrive, reducing inbound contact volume. Additionally, every support interaction—whether a tracking query or return—becomes a revenue opportunity when the AI agent has access to customer history and product data, enabling contextual cross-sell and upsell recommendations during order support touchpoints (Salesforce Commerce Blog). For commerce operations and customer service leaders, the takeaway is that agentic order servicing is no longer theoretical; it is available now for organizations that unify order management, inventory, and fulfillment on a connected platform.