eBay Inventory Management Bot

A production-ready Android automation that keeps your eBay listings in sync — auto-updates quantities, prices, and item statuses across accounts and devices. It replaces manual stock edits with a resilient workflow that reads inventory sources, updates the eBay app or web, and verifies changes with logs and screenshots. The result: fewer oversells, faster response to demand, and a stable seller rating powered by reliable inventory handling.

Created by Appilot, built to showcase our approach to Automation!
If you are looking for custom eBay Inventory Management Bot, you've just found your team — Let’s Chat.👆👆

Introduction

This system automates every repetitive step of eBay stock control on Android—checking current quantities, applying price rules, pausing out-of-stock items, and reactivating replenished SKUs. It removes platform-hopping and error-prone typing, giving teams a single, consistent workflow. Businesses gain real-time control of their catalog, cleaner seller metrics, and a scalable foundation for multi-store operations.

Automating eBay Stock, Price & Status Updates

• Fully headless or on-device execution that reads inventory from CSV/API/DB and applies updates to the eBay app or mobile web.
• Built-in price/quantity rules (min/max, MAP, margin floors) with safe-guards to prevent accidental zeroing or price drops.
• Robust anti-detection behaviors: human-like delays, randomization, and UI adaptation for different device resolutions.
• End-to-end observability with structured logs, screenshot evidence, and per-SKU execution receipts.
• Parallel device scaling for bulk catalogs and multi-account sellers.

Core Features

• Real Devices and Emulators: Run on physical phones/tablets or emulators (Bluestacks/Nox). Handles different screen DPIs and OEM skins reliably.
• No-ADB Wireless Automation: Operates via Accessibility/UI Automator paths with optional on-device agents—no cable or ADB pairing required after enrollment.
• Mimicking Human Behavior: Randomized tap paths, scroll inertia, think-times, and typo-corrections to emulate natural usage patterns.
• Multiple Accounts Support: Account context switching with isolated cookies/sessions, per-store rules, and role-based credentials.
• Multi-Device Integration: Dispatch tasks across a device farm; queue and shard SKUs by store, price band, or urgency.
• Exponential Growth for Your Account: Always-in-stock listings + responsive repricing improve search rank, conversion, and seller KPIs.
• Premium Support: Priority incident response, runbook customization, and CI-friendly updates.
• Rule-Based Repricing: Margin/momentum rules (competitor delta, inventory age) with floors/ceilings and audit trails.
• Smart OOS Handling: Auto-pause OOS items, auto-relist on replenishment, and backorder/lead-time labels.

Feature	Description
SKU Mapping Engine	Connects marketplace titles/variations to internal SKUs; resolves duplicates and variation children automatically.
Data Connectors	Import/export via CSV, Google Sheets, REST API, or DB (MySQL/Postgres). Schedules syncs and validates schema.
Scheduler & Queue	Cron-like schedules with priority queues; retries with exponential backoff and dead-letter handling.
Proxy & IP Rotation	Per-account proxy pools and location pinning to align with account region/trust patterns.
Visual Checks & OCR	Screenshot + OCR validation of on-screen quantities/prices for closed-loop verification.
Alerting & Webhooks	Slack/Discord/email notifications for failures, threshold breaches, or rule-driven events.

How It Works

1. Input or Trigger — Trigger from the Appilot dashboard by selecting a store/account, choosing the inventory source (CSV/API/DB), and defining rules (repricing, OOS actions, relist thresholds).
2. Core Logic — The bot controls an Android device/emulator using UI Automator (or Accessibility) to open the eBay app/web, navigate to listings, and apply quantity/price/status changes. ADB is optional and not required in wireless mode.
3. Output or Action — Listings are updated; the system captures screenshots and structured logs, then emits a per-SKU report and optional webhooks to your ERP or Slack.
4. Other functionalities — Automatic retries, error classification (UI drift, network, credential), device health checks, and parallel processing are managed from the Appilot dashboard with run-time overrides.

Tech Stack

• Language: Kotlin, Java, Python, JavaScript
• Frameworks: Appium, UI Automator, Espresso, Robot Framework, Cucumber
• Tools: Appilot, Android Debug Bridge (ADB), Appium Inspector, Bluestacks, Nox Player, Scrcpy, Firebase Test Lab, MonkeyRunner, Accessibility
• Infrastructure: Dockerized device farms, Cloud-based emulators, Proxy networks, Parallel Device Execution, Task Queues, Real device farm

Directory Structure

    ebay-inventory-management-bot/
    │
    ├── src/
    │   ├── main.py
    │   ├── automation/
    │   │   ├── device_controller.py
    │   │   ├── ebay_flows.py
    │   │   ├── rules_engine.py
    │   │   ├── ocr_validator.py
    │   │   └── utils/
    │   │       ├── logger.py
    │   │       ├── proxy_manager.py
    │   │       ├── config_loader.py
    │   │       └── retry.py
    │   ├── connectors/
    │   │   ├── csv_loader.py
    │   │   ├── sheets_client.py
    │   │   ├── rest_api_client.py
    │   │   └── db_client.py
    │   └── dashboard/
    │       ├── api.py
    │       └── webhooks.py
    │
    ├── config/
    │   ├── settings.yaml
    │   ├── credentials.env
    │   └── devices.yaml
    │
    ├── tests/
    │   ├── test_rules_engine.py
    │   ├── test_sku_mapping.py
    │   └── fixtures/
    │       └── sample_inventory.csv
    │
    ├── scripts/
    │   ├── enroll_device.sh
    │   ├── run_scheduler.sh
    │   └── export_reports.py
    │
    ├── logs/
    │   ├── runs/
    │   └── device_health.log
    │
    ├── output/
    │   ├── reports/
    │   │   ├── run_YYYYMMDD.json
    │   │   └── run_YYYYMMDD.csv
    │   └── screenshots/
    │
    ├── docker/
    │   ├── Dockerfile
    │   └── docker-compose.yaml
    │
    ├── requirements.txt
    └── README.md

Use Cases

• SMB sellers use it to synchronize stock and prices daily across multiple stores, so they prevent oversells and keep margins healthy.
• Aggregators/Agencies use it to manage dozens of seller accounts at scale, so they standardize rules and reporting without hiring extra staff.
• Ops teams use it to auto-pause OOS listings and relist on replenishment, so they maintain visibility and protect seller ratings.
• Developers integrate it via webhooks and APIs, so they push inventory updates from ERP/WMS directly to Android device farms.

FAQs

How do I configure this automation for multiple accounts? Create account profiles in config/settings.yaml, assign proxies and credentials per profile, and define per-account rules in the dashboard. The scheduler shards SKUs by account to avoid cross-session leakage.

Does it support proxy rotation or anti-detection? Yes. Per-account proxy pinning or rotation is supported. Interaction randomization (gesture speed, offsets, scroll variance) and UI path fallbacks reduce repeatable fingerprints.

Can I schedule it to run periodically? Absolutely. Use the built-in scheduler to run hourly/daily/weekly jobs. Jobs can be paused, resumed, and prioritized; missed runs are re-queued with backoff.

What happens if the UI changes? Fallback selectors and visual anchors (OCR/text checks) kick in. If both fail, the task retries with alternative flows and raises an alert with screenshots for quick rule updates.

Performance & Reliability Benchmarks

• Execution Speed: ~800–1,500 SKU updates per hour per device, depending on UI path and network conditions.
• Success Rate: 95% end-to-end on stable UI builds with proper selectors and proxies.
• Scalability: Horizontal scale to 300–1,000 Android devices via device farms and shardable queues; linear throughput gains observed.
• Resource Efficiency: Lightweight workers (<300MB RAM per headless emulator); image capture and OCR are batched to minimize overhead.
• Error Handling: Categorized retries (transient vs. persistent), circuit breakers for repeated UI drift, structured logs, screenshot trails, and Slack/Discord alerts for human-in-the-loop review.