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Multi-store operation
Make multi-store inspections, customer service and inventory processing more stable
Make multi-store inspections, customer service and inventory processing more stable
Unified management with AI fingerprint browser
For multi-store teams such as Amazon, Shopee, eBay, TikTok Shop, etc., Web4 Browser helps you split store accounts, customer service accounts, purchasing accounts, and operating members into independent browser environments to reduce account stringing and environment mismatch.
Suitable for teams:Cross-border e-commerce teams need to maintain multiple stores, multiple sites, and multiple role accounts, and often handle logins, messages, inventory, orders, and reports.
Independent Profileproxy bindingAI automationTeam review
Core pain points
Why does this scenario require a specialized browser environment?
The more store accounts there are, the more likely it is to make errors when manually switching browsers, agents, and regional configurations. It is also more difficult to track message replies, inventory synchronization, and risk control anomalies.
Account boundaries are unclear
When multiple accounts share devices, cookies, local directories or proxies, environmental changes are difficult to track and risks are harder to review.
Agent and fingerprint mismatch
Inconsistencies in IP, language, time zone, resolution, and browser fingerprints will amplify platform abnormality determination and team troubleshooting costs.
Too many repetitive tasks
If login check, page inspection, status recording and abnormal feedback are completely dependent on manual labor, the larger the scale, the easier it is to get out of control.
Scene teardown
Create independent profiles based on store matrix
Keep independent cookie, local data, proxy and fingerprint configurations for each store, site and role for greater clarity during handovers.
- Reduce environment mixing between accounts and projects
- Make it easier for new members to take over existing processes
- Ideal for long-term retention and recurring tasks
Execution method
Automate inspection and customer service processes
Use AI Agent or automated scripts to check login status, message reminders, inventory changes, and exception pages to reduce repeated manual checks.
- Unify agents, regions, languages and time zones
- Reduce the error rate of manual configuration switching
- Allow anomaly troubleshooting to locate specific environments faster
Automated collaboration
Unify store operation environment
Bind agents, regions, languages, time zones and account groups to fixed templates to facilitate new hires and team expansion.
- Support page inspection, status check and log output
- Suitable for batch tasks, periodic tasks and team reviews
- Reduce fixed scripts and manual repetitive operation costs
Implementation process
From environment construction to large-scale execution
Create store groups
First, establish clear groupings according to business scenarios to avoid mixing accounts and projects.
Bind regional agent
Bind agents, fingerprints, local data and team permissions to form a stable environment template.
Inspection message inventory
Offload duplication checking, login verification, page inspection, and logging tasks to automated processes.
Precipitation template reuse
Through logs and results review, we can establish replicable team operating standards.
Recommended ability combination
In this scenario, it is recommended to use these capabilities first
Store environment isolation
Through independent profile and local data isolation, the environmental interaction between accounts is reduced.
AI inspection and reminder
Bind agents, regions, languages, time zones and task scenarios to reduce manual configuration deviations.
Team handover template
Combine AI Agents, Skills, and headless automation to turn repetitive tasks into reusable processes.
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