CUSTOM AI AGENTS · Retail, hospitality & ecommerce
Product listing writeras part of your team.
Structure attributes. Draft descriptions. Flag missing details.
Explore this agent for my team ↗01 · THE WORK, STEP BY STEP
How the task moves forward.
Inquiries, bookings and product listings need consistent information. We design agents around availability, policies and verified content.
- 01
Structure attributes
Extracts verified features and maps them to your store's schema.
- 02
Draft descriptions
Drafts benefits from technical facts without adding nonexistent capabilities.
- 03
Flag missing details
Flags missing dimensions, materials or compatibility before publication.
02 · ILLUSTRATIVE EXAMPLE
A situation that may feel familiar.
A shop builds an online catalog from manufacturer specifications.
Illustrative scenario, not a customer case study or measured results.
Capture the intention to return without replacing it with an exchange.
Distinguish what the customer states from conditions still to be checked.
Request RET-204
| Data item | Status |
|---|---|
| Order | 1042 · Contact verified |
| Amount | 29 € |
| Unopened product | Reported by the client |
| Return deadline and method | Awaiting checks |
| Reimbursement | Not performed |
Open a separate internal thread to confirm missing conditions.
Keep the case pending. Do not invent an address or mark the refund as completed.
Record the follow-up
Customer service team
- ✓Request linked to order
- ○Confirm the return deadline and method
- ○To send validated instructions to the client
Go back to the client's thread and explain what's missing to continue.
03 · YOUR WAY OF WORKING
Fits the business you already have.
Context and tools
We start with your current documents, systems and channels. We assess feasible connections and define the permissions required for this specific task.
Improves with your feedback
Approved corrections are incorporated into instructions, examples or knowledge sources. We review changes before expanding the agent’s scope.
A clear way to evaluate
We agree on a representative sample and measure review time, errors, exceptions and output quality against the current workflow. Feasibility is decided using that evidence.
04 · COMMON QUESTIONS
Before getting started.
What information does this agent need?
Technical sheet, images and commercial guide. We review quality, currency and access before connecting the workflow. You do not need to replace all your tools to begin.
What will my team receive?
Reviewable listing without invented specifications. We agree on the format and delivery channel during setup, together with cases that need review.
Which decisions remain with people?
Commercial exceptions, payments and sensitive service information follow agreed review rules.
Can it coordinate with other agents?
Yes. We define what this agent hands to the next one and who handles exceptions. It can interact through Slack, WhatsApp, email or Microsoft Teams, depending on the integration and permissions we configure.
INDUSTRY APPLICATIONS
Where it could fit.
RELATED AGENTS
A team that works together.
Reservation assistant
Proposed booking or inquiry routed to staff.
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Contextual messages for each stage of a stay.
See tasks and example ↗Retail, hospitality & ecommerceOrder & returns assistant
Order-aware reply and pending decision.
See tasks and example ↗START WITH ONE TASK
How would this fit your business?
Tell us how you do it today. We will define the scope, tools and controls with you.