AI telephone assistant for e-commerce
Evaluate e-commerce support calls with a focused pilot. Test order status, return requests and staff handoff on the same examples, then compare costs by conversation minutes.
E-commerce · Pilot evaluation
Distinguish answering an order question from resolving it
A customer asking where an order is and a customer reporting the wrong item need different outcomes. Start with one common request type.
Suggested pilot: order status
A fictional order is being prepared in one trial and lacks tracking information in another. Distinguish known information from guesses.
Suggested pilot: a return request
A trial customer asks about returns, then mentions a damaged item. Compare general information with your current store rules.
Prepare the pilot
- Prepare fictional orders, expected statuses and missing-information cases without real customer data.
- Identify the authoritative record for each request and define the freshness expected from it.
- Choose the team responsible for return exceptions, incorrect items and disputed delivery before the trial.
What to measure
- Count correct order and status matches, testing corrected numbers as a separate case.
- Measure answered requests separately from resolved requests and follow whether another call is needed.
- Compare minutes and selected messaging usage per resolved request instead of focusing only on shorter calls.
When a person should take over
Refund decisions, suspicious transactions and delivery disputes may need store staff. Decide how much information is enough before referral.
Start with one order question
Explore the sample conversations. Try missing tracking information with the test assistant in your account, then run real pilot calls against your rules. Compare pricing across minutes, additional reports or messaging and the applicable tax scope.
Count correct order and status matches, testing corrected numbers as a separate case.
We built AvaritCall so people get good service in a system that wears call-center agents down. We put AI beside people, not in their place.
Order, return, product — the AI at the end of the question.
Checks order status; tracking number and delivery date given instantly.
Answers product stock and price questions instantly; connects to a live catalog.
Hot-transfers to a live support rep when a case can’t be resolved.
Takes return and exchange requests; starts the process, collects required info.
Sends shipment tracking, invoice and return code over WhatsApp.
Turns the call into a ticket; assigned to the right team with a priority score.
A voice AI that calls abandoned carts and former customers.
It calls back customers who abandoned a cart within hours; measures satisfaction after delivery; invites former customers to buy again.
Detects cart abandonment within hours, calls the customer; learns the reason, resolves it.
Invites former customers to buy again; delivers a personalized campaign.
Sends a discount code, personalized recommendation and link over WhatsApp.
Runs a post-delivery satisfaction survey; feedback lands on the dashboard.
Learns the return reason; collects data usable for product development.
Summarizes the call; purchase likelihood is scored on the dashboard.
Before you start, clarify your data workflow.
Agree on notice, access and retention requirements for the pilot with your organization; review data processing scope in the privacy and KVKK notices.
Use an industry template as a starting point and configure the information and conversation workflow for your business.
Call from your own number, hear the real conversation, fine-tune.
Connect your number or get a new one; the agent answers 24/7.
Track calls, transcripts and metrics from the dashboard and keep improving.
Frequently asked questions
Try voice AI built for your sector today.
Configure your assistant in the dashboard and test it with your own call workflow. Start with USD 5 signup trial credit and pay-as-you-go pricing.