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Mall AI After Sales Platform

Mall AI After Sales Platform is an open-source e-commerce support system that routes customer conversations to direct answers or multi-step tasks, investigates orders and policies, and proposes after-sales actions for customer confirmation. It also supports human case handoff and operations workflows for finding similar cases and drafting evidence-linked analyses.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Mall AI After Sales Platform — OpenViST project profile in Workflow Agents.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it as a reference or starting point when building e-commerce after-sales workflows that need to combine conversation, policy and order investigation, customer approval and staff handoff.

Who it is for

  • E-commerce teams developing automated after-sales support around an existing commerce backend.
  • Developers evaluating agent workflows that combine policy retrieval, customer confirmation and human case handling.

Documented uses

  • Answer policy questions using retrieved sources and evidence checks.
  • Investigate order, delivery and after-sales eligibility facts through Java services.
  • Prepare a proposed return or other after-sales action for customer review and confirmation.
  • Transfer a customer issue to staff and track case progress.
  • Find similar handed-off cases and prepare cited operational analysis for human review.
Before you choose

Requirements & limits

The repository is public and states that the project is released under Apache-2.0. Its documented local preparation path requires Docker Desktop and a DeepSeek key.

  • Adapting the system to another commerce platform requires mapping its order, logistics and eligibility interfaces, plus appropriate transaction safeguards.
  • The agent proposes actions, while Java performs authoritative business writes and rechecks eligibility at submission.
  • Local setup uses Docker Compose; real model conversations have a separate configuration guide.
  • Policy retrieval is versioned and evidence-checked; reuse with another retailer requires changing the policy corpus and retrieval configuration.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Prepare the local demo environment

Run the documented preparation step for a local demo environment.

Before you start

  • Docker Desktop
  • A DeepSeek key, injected through local configuration

Steps

  1. Clone the repository.

  2. Change to the repository directory.

  3. Run the PowerShell script at scripts/Prepare-PublicDemo.ps1.

Expected outcome

The repository's documented local preparation step has been run; the README identifies the web interface and API documentation addresses for after startup.

Guide limitations

  • This preparation guide does not include the separate configuration steps for real model conversations; the README directs users to docs/LOCAL_CHAT.md.
  • The documented commands use PowerShell.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
15 October 2026
Original website title
Eleven617/mall-ai-after-sales-platform · Official homepage title · retained in its source language
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