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Netic Southeast Asia Multilingual After-Sales Takeover: Recovering Orders in a Single Conversation, 50k RMB Monthly Revenue

Workflow: Every day, chat logs, after-sales tickets, and return requests from Shopee/Lazada stores are inputted. Netic automatical

AGENT

Key Fields

FIELD STAMPS

IndustryE-commerce / Retail

RegionSoutheast Asia

ScaleSME

ChannelOnline

🔧 Workflow

Every day, chat logs, after-sales tickets, and return requests from Shopee/Lazada stores are inputted. Netic automatically uses local languages (Indonesian, Thai, Tagalog) to generate comforting scripts, compensation plans, and appeal materials, while proactively following up on unresolved tickets until closure. The output is a complete customer communication trajectory, with AI handling 80% of routine inquiries while humans only review high-value orders and severe negative reviews. The entire cycle operates as a closed-loop on an order-by-order basis.

🛠 Setup Requirements

Register a Netic.ai account and bind the Shopee/Lazada Seller Center API. Technically, you only need to configure product categories and common customer service phrases; no coding is required. Setup takes 1-2 days to complete knowledge base import (product parameters, return policies, logistics schedules), followed by a week of fine-tuning the AI's response style and permission boundaries. During this period, you can test-run on a small store to reduce risks.

🧰 Toolchain

🔧 Netic.ai multi-channel AI agent platform
🔧 Shopee Seller Center API
🔧 Lazada Open Platform API
🔧 Google Translate API (localization fallback)

💰 Revenue

① Shopee/Lazada sellers (main revenue): Charged via seat + volume subscription, approx. 800 RMB/channel/month × 3 channels + API call fees ≈ 3,000 RMB/month. After after-sales takeover, a single store's monthly revenue increases by approx. 50,000 RMB, with net income of 25,000-30,000 RMB, accounting for approx. 50%-60% of revenue growth (calculated based on internal data, merchant's perspective, independent verification pending, as of 2026); seller subscription breakdown is not detailed. ② Service provider tier: Charging multiple sellers monthly agency operation subscription fees based on the number of stores. The number of connected stores and the proportion of agency operation subscriptions in the total pool are not disclosed (merchant's perspective, verification missing). ③ Value-added & ecosystem: Charging sellers a one-time deployment fee for opening new stores, and converting AI-processed after-sales tickets into a structured knowledge base. Opening quotes are not public, and the proportion of one-time deployment is unquantifiable. ④ Opportunity items: Netic officially disclosed that autonomous outbound calling and ticket automation have generated $36.31M in year-to-date revenue, 11,214 autonomous appointment tickets, and a 91% appointment rate. Similar sellers can replicate this, though the scale of outbound calling and ticket automation is not yet quantified with specific figures (merchant's perspective, independent verification pending), and the exact proportion is unspecified.

💸 Cost

Netic.ai charges approximately 800 RMB per channel per month per seat. For 3 stores with 3 channels plus API call fees, the total is approximately 3,000 RMB/month, accounting for about 6% of the revenue increase.

⏱ Time Investment

Dedicate 2-3 hours daily, primarily handling abnormal tickets flagged by AI and reviewing refund requests. Once operations stabilize, this compresses to 1 hour.

🚀 Getting Started

Step 1: Select a Shopee category you are familiar with (such as 3C accessories or home goods), compile a common customer complaint script library for the top 100 products in that category, and then register a Netic trial account to bind the store. Step 2: Spend a week letting the AI run through the closed loop of 'receiving tickets - generating replies - manual confirmation - automatic sending'. Test 30 orders to ensure no major errors before expanding to 3 stores.

🔑 Keys to Success

✅ Leverage Netic's multilingual generation capabilities to reduce Indonesian/Thai customer service costs from 5,000 RMB per month to near zero
✅ Prioritize after-sales for high-ticket orders, using AI to proactively provide compensation plans to recover churned customers
✅ Use Netic's data dashboard weekly to review ticket types, inversely guiding product selection and listing optimization
✅ Precipitate all AI-processed tickets into a structured knowledge base to form reusable after-sales strategy assets, allowing new stores to inherit experience on day one

⚠️ 风险

⚠️ Platform API rule updates may cause authorization failures; developers need to monitor Shopee and Lazada developer announcements and prepare manual processing contingency plans
⚠️ If AI-generated scripts are not manually reviewed, they may trigger buyer complaints in culturally sensitive contexts, necessitating a mandatory manual final review stage
⚠️ If a single store heavily relies on AI and Netic experiences service interruptions or model updates causing sudden style shifts, short-term customer service quality will noticeably decline, requiring backup script libraries and emergency human channels

📌 Real Cases

📌 Zhihu user 'Cross-Border Old Zhou' shared: In 2026, using an AI Agent to automate Shopee Indonesia operations allowed a single person to shoulder the customer service and after-sales work of a former 10-person team, achieving an 80% routine operation automation rate, saving about 12,000 RMB in monthly labor costs, and boosting order conversion rates by about 20%.
📌 In 2026, Shopee and Netflix reached a Southeast Asian e-commerce partnership, launching Shopee VIP+ subscriptions in Indonesia, Thailand, and the Philippines. Content e-commerce's share of platform GMV rose to 37%, driving significant growth in platform demand for AI customer service and after-sales automation tools.
📌 tixiaolu.com's 2026 Lazada/Shopee AI Operations Guide recorded a real-world case: A 3C seller using AI product selection and multilingual customer service agents saw their Thai region return rate drop from 12% to 8.5%, with monthly after-sales ticket processing volume increasing by 3x, and a single store's monthly net profit increasing by about 8,000 RMB.

Sources