Industries
Every shopper gets a personal experience
From product fit to where their order is, your customers expect an answer now. resolves across chat, email, and messaging — and the repeat questions that used to eat your peak weeks quietly disappear.
Return request for order ORD-88213
Hi, I would like to return the Alpine Parka from order ORD-88213. It is too small and I would like a size L instead.
Where is my order ORD-91402
My order was supposed to arrive yesterday. Can you tell me where it is and when I can expect delivery?
Size guide for running shoes
I normally wear EU 39 but your reviews say these run small. Should I order a 40?
What oHallo handles
Conversations resolved end to end
Retail customer service runs on the order management system, the inventory across the warehouse network, the returns and refunds workflow, and the loyalty data. A return that closes properly needs the order looked up, the eligibility checked against the policy, the exchange item found in stock somewhere in the network, the label generated, the refund split correctly, and the customer's loyalty balance updated — usually across four systems. Subscription changes, promotional eligibility checks, split-shipment reconciliations follow the same multi-system pattern. The first wave of AI in retail has been deployed broadly, with named programmes reporting deflection rates that look impressive on dashboards. Where most of those deployments hit a ceiling is the transaction itself — the chatbot can confirm the return is allowed, but the work behind the confirmation still goes to a person.
oHallo is built to do that work. The platform reads your order systems, inventory, returns rules, and loyalty data in the same conversation — and the reply that lands has already created the return, generated the label, processed the refund, and updated the loyalty balance. Every action is validated against your policies before it goes out, and a full audit trail follows the conversation through every channel it touches.
The conversations
The conversations a retail customer service desk handles every day
Customer conversation
How handles it end to end
Order tracking, returns, and refunds
Order lookup, eligibility check, exchange item found, label generated, refund split, loyalty balance updated — in one conversation.
Product questions, fit, and recommendations
Catalogue, live stock, sizing guidance, and personal preference combined into one answer.
Subscription changes, pauses, and renewals
Updated across billing, fulfilment, and the next-bill date, with the change confirmed in the same thread.
Payment issues and cart assistance
Read against the live cart and the payment provider's reason code, with the next step proposed clearly.
Promotional eligibility and discount codes
Validated against loyalty tier, cart contents, and segment rules — so the code that works in chat works at checkout.
How it works
The resolution process
Return request received
Customer requests a return and exchange for order ORD-88213
Request analysed
Intent classified as return with exchange preference
Policies and knowledge base checked
Return window and exchange eligibility verified
Business systems queried
OMS: order details and return eligibility. Inventory: size L availability
Reply composed
Exchange confirmed for size L, prepaid return label generated
Validated and sent
Checked against return policies, verified stock availability, sent from your address
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Autonomous customer operations for retail
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