Orders Overview
Customer orders are the core of your seller experience on SellerShorts.
When buyers purchase and run your AI Tools, they create orders. You need to monitor these orders and potentially fulfill them with additional support.
What orders represent
Every time a buyer runs your AI Tool, it creates an order.
Each order includes the inputs they provided, the results your automation delivered, and the current status of that interaction.
Where to find orders
You can access your orders through several dashboard sections:
- Customer Orders – Complete list of all orders for your AI Tools
- Order Attention – Orders requiring your immediate action (revisions, issues)
- Analytics – Summary data and trends across all your orders
Order statuses
Orders progress through different states depending on their current situation:
Initial states
- Pending – Order created, webhook request being prepared
- In Progress – Your automation is currently working on the order
Completion states
- Delivered – Results sent to buyer, awaiting their acceptance (7-day auto-accept period)
- Completed – Buyer accepted results or 7-day period passed, order finalized
- Failed – Processing encountered an error and couldn't complete
Revision states
- Revision Requested – Buyer asked for changes (limited to 1 revision per order)
- Revision In Progress – You've accepted the revision request and are working on changes
- Revision Ready – Updated results have been provided to buyer for review
Special states
- Action Required (Seller) – Technical issue detected, you may need to re-run or investigate
- Replaced – Buyer re-ran the AI Tool, this order superseded by new one
💡 Typical order flow
Most orders follow this path:
- Pending → Order created (seconds)
- In Progress → Your automation processes (minutes to hours)
- Delivered → Results sent, buyer reviews (up to 7 days)
- Completed → Buyer accepts or auto-accepts, earnings finalized
The "Delivered" state is where most orders spend time waiting for buyer acceptance before automatically completing after 7 days.
Orders list interface
The main Customer Orders page shows a table with key information:
- AI Tool Name – Which of your AI Tools was purchased
- Order ID – Unique identifier for tracking
- Created Date – When the buyer ran your AI Tool
- Status – Current state with color-coded chips
- Action – "View Details" button to see complete information
Order Attention system
The Order Attention section acts as your priority inbox. It surfaces orders that need your immediate response:
- Revision requests – Buyers asking for changes
- Failed orders – Processing errors that need investigation
- Reported issues – Problems buyers have encountered
- Time-sensitive items – Orders approaching deadlines
Managing attention items
- Check daily – Review Order Attention at least once per day
- Prioritize revisions – Handle revision requests quickly
- Investigate failures – Look into processing errors promptly
- Communicate issues – Work with support on reported problems
Key actions you can take
- View order details – See complete order information and results
- Download order files – Access input files and delivered results
- Provide revisions – Upload improved or corrected results
- Mark completed – Confirm successful delivery for manual orders
- Contact support – Get help with complex issues
Monitoring your orders
Daily workflow
- Check Order Attention – Handle urgent items first
- Review recent orders – Monitor new orders and their status
- Follow up on issues – Ensure problems are being resolved
- Update automations – Fix any recurring processing problems
Weekly analysis
- Review failure rates – Identify patterns in failed orders
- Check revision frequency – See if certain AI Tools need improvement
- Monitor processing times – Ensure ETAs are accurate
- Analyze buyer feedback – Use insights to improve AI Tools
Best practices
- Respond quickly – Fast response times improve buyer satisfaction
- Be proactive – Check orders regularly, don't wait for problems
- Keep good records – Document issues and resolutions
- Learn from patterns – Use order data to improve your AI Tools
- Maintain quality – Consistent good results reduce revision requests
Common scenarios
High order volume
- Focus on Order Attention items first
- Set up monitoring for processing failures
- Consider automation improvements to reduce manual work
Many revision requests
- Review your AI Tool descriptions for clarity
- Improve input validation to catch problems early
- Update your automation to handle edge cases better
Processing failures
- Check your automation platform for errors
- Verify webhook connectivity and callback delivery
- Update authentication tokens if needed
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