auto_awesome Wolin AI | E-commerce operations automation

Customer service, listings, reconciliation:
hand it to AI

For brands selling on momo, Shopee or their own website. Hand repetitive work to AI so your team can focus on closing sales.

Free · 30 minutes · We tell you which 3 things to hand to AI first

The 3 things e-commerce owners get stuck on most

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Customer messages never end

70–80% of customer service questions are repetitive: sizing, shipping, returns, stock. One full-time agent, including labor and health insurance and management costs, runs about NT$500,000–700,000 a year.

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Campaign submissions and bulk price changes done by hand

Every campaign means re-organizing products, prices and stock, and mistakes creep in when things get busy.

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Orders, shipping and reconciliation do not match

Platforms, payments and logistics each have their own back office, and month-end reconciliation is forced together in Excel.

Sources: Yotron AI: Retail AI adoption guide (share of repetitive questions), Foreverwebs: AI customer service automation guide (customer service staffing cost)

Case study | Food e-commerce brand, LINE AI customer service

The brand sells on its website and on LINE at the same time, and customer questions center on shipping fees, delivery and how to use the products. We built a LINE AI customer service agent from the brand's own product data; when it cannot answer, or a customer wants a person, the conversation is handed to the brand's customer service team automatically.

What we do

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LINE AI customer service

Answers customers using your product data and FAQs; when it cannot answer, or a customer wants a person, it hands off to your customer service team automatically.

Live case available See details →
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Platform ops automation

Campaign submissions, bulk price changes and listing/delisting lists: from "redo it for every campaign" to "confirm once, apply in one go".

Already used in Wolin's own workbench
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Back-office integration

Connects orders, shipping, ERP and reconciliation data so AI can look it up directly. For sensitive data, the model can run only on computers inside your company.

Scoped to your needs
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Get AI to recommend your products (AEO)

We check how ChatGPT and Gemini describe your brand and products, and add structured data to your website so AI can find you when it answers questions.

How we work

1

Ops audit (free, 30 minutes)

We look at your workflows and pick the 3 things most worth automating first.

2

2-week pilot

We do one thing first, run it on your real data, and you decide whether to continue once you see the numbers.

3

Monthly maintenance

Data updates, answer fixes and new workflows added, with someone always looking after it.

Pricing = a one-time build fee plus a monthly maintenance fee, quoted after the audit based on workflow complexity.

Why us

When AI cannot answer, a person picks up

When a customer asks for a person or the AI is unsure, the conversation is handed to your customer service team so customers never get stuck.

Sensitive data can stay in-house

You can choose a cloud model, or have the model run on computers inside your company.

FAQ

Will the AI make things up? expand_more

The AI answers only from the product data and rules you provide; questions it is unsure about are set to hand off to a human. After launch, we review the conversation logs every month and fix anything it got wrong.

Do we need to replace the systems we use now? expand_more

In most cases, no. We connect to your existing LINE official account, platform back offices and forms.

How long until it goes live? expand_more

A pilot takes about 2 weeks: we do one thing first and expand once you see the numbers.

How is pricing set? expand_more

A one-time build fee plus a monthly maintenance fee. After the free audit, we quote based on how complex your workflow is.

Is our data safe? expand_more

We open account access only to what is needed; for sensitive workflows, the model can be set to run only on computers inside your company.

Spend 30 minutes to see what can be handed to AI