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Marketplace automation case study

Customer support.Less routine.

A production workflow that connects marketplace chats with order data, delivers an order-linking code on the first customer message, and avoids repetitive manual replies.

Wildberries APIPythonSQLAlchemySQLite
Interactive workflow demo
C
Customer chat
connected

Representative interaction: the automated code is sent once for the chat, while subsequent messages are left for normal support handling.

Practical outcome
First-contact code delivery without repeated manual replies.
Built as
Backend service · API integration
Focus
Customer support automation
Project overview

A narrow business problem, automated end to end

The system was built around a specific marketplace support workflow: keep order data synchronized, detect a customer’s first chat message, and send the corresponding linking code without staff repeating the same action manually.

01 · Challenge

Repetitive first-contact work

Support agents needed to connect incoming marketplace conversations with order information and repeat the same code-delivery step.

02 · Solution

Order-aware chat automation

The service monitors chats, matches the interaction to available order data and sends the order-linking code only once.

03 · Result

Less routine intervention

The repeated first-message workflow is handled automatically while logging and pending processing keep the integration traceable.

Workflow

How the automation works

The interaction stays deliberately simple: synchronize order data, react to the first relevant chat event, then prevent duplicate automated replies.

01

Monitor orders & chats

The service periodically synchronizes marketplace order data and checks incoming customer conversations.

02

Resolve and send the code

When the first customer message arrives, the workflow uses the available order data to return the appropriate linking code.

03

Prevent duplicate automation

Later messages do not trigger the same automated code again, keeping the conversation free from repeated bot replies.

Capabilities

Built for a production workflow

The implementation includes the operational pieces needed to keep the integration useful beyond a one-off script.

01

Order synchronization

Regular synchronization with the marketplace API keeps relevant order data available to the workflow.

02

Chat monitoring

Incoming buyer messages are monitored so the first-message event can be processed automatically.

03

One-time code delivery

The linking code is issued once rather than repeated across every follow-up message.

04

Pending processing

If order data is not yet available, the workflow can defer handling until the required information arrives.

05

Action logging

Message processing and issued codes are logged to make the integration easier to inspect and operate.

06

Persistent storage

Order and processing state is persisted in a database instead of relying on temporary in-memory state.

Technology

Implementation stack

A compact backend stack focused on reliability, API coordination and persistent workflow state.

Python 3.9+SQLAlchemySQLiteWildberries APIAsync API processingRate-limit handlingPending queueLogging
Execution modesDesigned to support continuous daemon-style operation or periodic execution.
Marketplace integrationOrder and support workflow integrated with Wildberries API data used by the seller operation.

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