Order support with context
Collect shipment events and customer messages in one view. Separate requests that can still be changed from orders already handed to fulfillment.
AI ecommerce integration across the order journey
AI ecommerce integration connects the work after a shopper clicks buy. dplyz builds catalog and service workflows around your storefront, fulfillment tools and customer records, with clear rules for changes that affect an order.
EcommerceConnected operationsThe operating reality
The storefront is only the beginning
Support teams inherit address changes, missing parcels and product questions from several channels. A useful workflow needs the order state, fulfillment cutoff and the customer’s last conversation. We connect those facts before adding automated replies.
Where the work changes
Catalog and feed maintenance
Normalize supplier attributes and prepare channel-specific descriptions. Flag missing variants, unsupported claims and conflicts between the feed and the source catalog for review.
Returns with a complete record
Gather the order, reason and supporting information before creating a return request. Apply the merchant’s stated rules and leave exceptions with the service team.
An illustrative workflow
An address change after checkout
A customer sends a new delivery address. The workflow verifies the order, checks whether fulfillment has begun and prepares the permitted update. If the package has shipped, it explains the available next step instead of silently changing a field that the carrier will never see.
A focused first release
Start with a job you can measure
Start with an order-support task whose rules are clear. Keep one channel in scope until event timing, retries and identity checks behave correctly.
- Resolution time
- Measure the complete service request.
- Feed rejection rate
- Track channel validation failures.
- Manual rework
- Count corrections after automation.
Planning AI for ecommerce
It can work within the help desk you already use. Agents should see the same conversation and action history as the automated workflow.
That depends on the inventory source and how often it updates. The interface should disclose stale or unavailable stock information rather than infer availability.
Let’s talk about your ecommerce operations
Bring us a real process, the systems it touches and the result your team needs.