Scenario requirements
E-commerce customer service needs to handle order inquiries, returns, product inquiries, and other diverse needs, and traditional scripts are difficult to cover complex scenarios. julep AI's multi-step workflow is particularly suited to such situations.
program of implementation
- Basic workflow design::
- establish
order_inquiry.yamlProcessing order status inquiries - exploit (a resource)
return_process.yamlManage the return and exchange process - utilization
decision-pointsRouting different types of advice
- establish
- Key Integration Points::
- Connect to e-commerce platform APIs for real-time order data
- Integrated payment system to process refunds
- Docking logistics system to track packages
- Special Scene Handling::
- pass (a bill or inspection etc)
escalate_to_humanNode transfer labor - utilization
sentiment_analysisTools to recognize user emotions
- pass (a bill or inspection etc)
Typical Workflow Example
name: 退换货处理
tools:
- shopify_api
- stripe_refund
main:
- confirm_order_details
- if: _.is_refundable
then:
- process_refund
- send_confirmation
else:
- offer_store_credit
- log_interaction
This workflow automatically checks the eligibility of the order to be returned, performs the appropriate action, and records the complete interaction.
This answer comes from the articleJulep AI: An AI Cloud Platform for Building Multi-Step Intelligent Body Workflows Using DSLsThe
May not be reproduced without permission:AI productivity tools " How to apply Julep AI to build intelligent workflows in e-commerce customer service scenarios?
