Delivery exceptions — damaged goods, missed windows, lost packages, access failures — are inevitable. How you handle them determines whether you retain the customer. AI helps you respond faster and more professionally.
AI for exception management:
Exception detection: AI monitors all active deliveries and flags exceptions as they occur — before the customer contacts you to complain.
Automatic escalation: Based on exception type and customer value, AI determines the appropriate escalation level and routes to the right person immediately.
Customer notification: AI sends a proactive, empathetic message to the affected customer as soon as an exception is detected, explaining what happened and what you are doing about it.
Resolution tracking: AI tracks each open exception with a resolution target time and escalates if resolution is not achieved within the SLA.
Complaint handling: When a customer contacts you about a problem, AI drafts a response that acknowledges the issue, apologizes for the inconvenience, and proposes a specific resolution.
Root cause analysis: AI analyzes exception patterns to identify systemic problems — a specific driver with high damage rates, a route with frequent access issues, a customer address that consistently fails.
Recovery compensation: AI suggests appropriate service credits or redelivery compensation based on the exception type and customer history.
Post-resolution survey: After an exception is resolved, AI sends a satisfaction survey to confirm the resolution met the customer’s expectations.
What type of delivery exception is most costly to your business in terms of customer impact?