Customers expect action, not answers. Agents act inside the order system.
Support volume multiplies at seasonal peaks; “where is my order”, returns, delivery changes and product questions overwhelm teams. Aginies answers with agents grounded in catalogue and policy knowledge, acts inside the order system, and runs back-office jobs like catalogue enrichment and review management on the same layer.
Seasonal peaks
November–December volume is three times the rest of the year; teams do not stretch.
Bots that answer but do not act
The customer wants a cancellation; the bot says “let me transfer you”.
Catalogue debt
Keying product attributes from supplier documents takes weeks.
Review and complaint noise
Product-defect signals get lost among thousands of reviews.
Agents you can watch live for this sector
Where is my order? (WISMO)
Customer asks, order and carrier events join instantly; on delay a new ETA is given and a trace opened.
Returns and refunds
Policy and history checked in seconds, label issued; the refund executes when the carrier scans the parcel.
Product Q&A assistant
Size, compatibility and spec questions answered from catalogue and return data; stock and price verified.
Catalogue enrichment (batch)
Attributes pulled from supplier PDFs and images, TR/EN copy written; hundreds of SKUs ready in minutes.
Review response and quality escalation
Reviews classified and answered in brand tone; recurring defects joined with return data and escalated to QA.
- Privacy-compliant customer data processing
- Human approval on out-of-policy refunds and campaign exceptions
- A trace for every action written to the order system
Time to move from experimenting with AI to transforming with it.
In a 30-minute discovery session we take your 2–3 priority business problems, show a live demo of a similar scenario, and draft a roadmap that starts with the Value layer.
- Your 2–3 priority problems
- Live demo of a similar scenario
- Roadmap starting with value analysis