Behind every customer question there is a transaction; the agents complete it 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.
In Retail & E-commerce, Aginies offers 6 live agent scenarios and 3 solution packages: Outfit stylist: a complete look by size, stock, budget and style, Where is my order? (WISMO), Returns and refunds, Product Q&A assistant, Catalogue enrichment (batch), Review response and quality escalation; solutions: E-commerce support & action, Email classification & attachment verification, Call-centre quality monitoring. The blockers on the way to production are Seasonal peaks, Bots that answer but do not act, Catalogue debt, Review and complaint noise; on the compliance side 3 requirements (including Privacy-compliant customer data processing) are part of the deployment.
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.
Three starting points; each measurable in a short pilot on existing systems.
- 01agent scenarioOutfit stylist: a complete look by size, stock, budget and style →
Direct revenue impact: basket size and return rate measured at the same time.
- 02agent scenarioWhere is my order? (WISMO) →
“Where is my order” calls are the biggest support item; an agent wired to the order system shows results in week one.
- 03agent scenarioReturns and refunds →
With a clear return policy automation is fast; exceptions stay with people.
Agents you can watch live for this sector
Outfit stylist: a complete look by size, stock, budget and style
The customer sends a photo and a sentence; the agent builds three looks that are in stock, fit and within budget, and adds the chosen one to the cart.
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.
Derived from the 6 scenarios in the sector: supervisors, specialist agents, Hub model families and systems touched.
Summed from the simulation definitions of the sector scenarios; recalculated for your scale in the discovery session.
- 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
- Consumer law and distance-selling rules: withdrawal, return and delivery deadlines coded into agent rules
- Personal-data law and marketing consent: contact only on consented channels, recommendations on purpose-limited data
- Campaign and price rules: discount authority bounded by the matrix, out-of-band offers to customer service
Sovereign shared deployment; GPU capacity scales on usage at seasonal peaks, customer data stays in Türkiye.
Approval rulesHuman-approval thresholds of the sector scenarios.
- Outfit stylist: a complete look by size, stock, budget and styleDiscount outside campaign rules or a bespoke price request → customer service
- Returns and refundsRefund > 2,500 or > 5 returns in 12 months → team lead approval
- Catalogue enrichment (batch)New category or supplier price deviation > 15% → category manager approval
- Review response and quality escalation1-star review replies and defect escalations → community manager approval
| First-contact resolution | +15–25 points |
| Extra representatives at seasonal peak | 40–60% lower |
| Basket size with outfit recommendations | +10–20% |
Target ranges from comparable deployments; baseline and target are fixed together in the first week of the pilot.
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