Skip to content

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.

LA
Lisa Andersen11:22

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.

sent exchange confirmation with return label28s
JP
James Porter11:45

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?

sent tracking update with new delivery date15s
NB
Nina Bergstrom12:08

Size guide for running shoes

I normally wear EU 39 but your reviews say these run small. Should I order a 40?

sent personalised size recommendation22s

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 a retail customer service desk handles every day

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.

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

BlackFridayvolumewithMondaymorningheadcount.Welcometoretailwith.

Autonomous customer operations for retail

Connect your e-commerce platform and let your customer queries resolve themselves from day one