Connect the intelligence behind the experience.
Large assortments make product data, availability and fulfilment harder to keep aligned. Every mismatch can create a manual correction or a poor customer experience.
The industrial opportunity
The customer sees one business.
Connect catalogue quality checks, demand signals and fulfilment exceptions. In physical operations, evaluate vision-assisted picking on a defined assortment before widening the task.
Inside the workflow / example
Prepare an order-service resolution.
One potential application. Welf connects your data and systems, engineering the application with the people who understand the operation.
What comes in
The authenticated customer’s order, payment and fulfillment status, carrier events and the applicable returns or service policy.
What AI prepares
Reconcile the order state, identify the reason for contact and prepare an answer with available resolution options. Flag incomplete tracking and policy exceptions.
What your team decides
The service team approves refunds, replacements or exceptions within its authority. The confirmed action is written back and its result attached to the case.
A closer look
What goes into the work.
Explore the questions that matter for your project.
Give service teams
reliable product context.
Customer service · Merchandising · Product data teams
Customer service
Bring order context and service policy into answers with a clear human escalation path.
Product discovery
Guide product selection using verified attributes, availability and configuration rules.
Catalog operations
Extract attributes, identify gaps and prepare product content for editorial approval.
Integrated into your operation.
Refunds, account changes and commercial promises follow explicit policies and permissions. Product claims must remain grounded in approved information.
System environment
Commerce platform · Product information · Order management · CRM · Service desk
Responsibility
Access, permitted actions, approvals and recovery paths are defined before deployment.
Track answer quality
and correction effort.
Measure resolved contacts, repeat contact rate, handling effort and incorrect actions. Do not treat a closed ticket as a resolved customer problem without checking the outcome.
Candidate measures
Resolution quality · Contact rate · Catalog correction effort
Start with one contact reason.
Start with a recurring contact reason and one store or sales channel. Confirm customer identity, policy ownership and which actions can be reversed.
Plan the first deliveryBring a case your team knows too well.
Describe the task, the systems involved and what makes it difficult. We can use that context to discuss a first workflow and the evidence it would need.
Start a conversation