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Order Management Systems
Order Management Systems That Keep Fulfillment Moving. An order is more than a record of what a customer bought. It creates work across sales, inventory, purchasing, production, warehouse and delivery.
Xupyter builds order management workflows that keep those stages connected and make exceptions visible before they become customer problems.
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Trusted by 50+ businesses as their technical partner
100+
Projects delivered
10+
Industries served
8+
Years in business
Common Problems
- Orders enter through different channels and are re-entered manually.
- Order status is unclear once the work leaves sales.
- Inventory, production and fulfillment teams receive incomplete order information.
- Changes to orders are difficult to trace.
- Customer-facing updates depend on staff asking other departments for information.
- Managers cannot quickly see which orders are blocked or overdue.
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What Your Team Does
- Sales or another source captures the order and required customer information.
- Required approvals and commercial checks are completed.
- The order is released to the relevant fulfillment workflow.
- Inventory, production or purchasing handles the operational requirements.
- Warehouse or service teams complete fulfillment and record exceptions.
- Delivery or completion status is updated and the customer record retains the history.
What You See as the Owner or Manager
- Order status from capture through fulfillment.
- Orders blocked by approval, stock, production or delivery issues.
- Customer and order history.
- Fulfillment performance and outstanding exceptions.
What We Build
Capability | What it handles |
|---|---|
Order capture and | customer records. |
Approval and order-release | workflows. |
Order line | pricing and document records. |
Inventory | production and fulfillment connections. |
Status history and | exception management. |
Customer-facing or internal | order status views. |
Order dashboards and | management reporting. |
AI Capabilities
AI capability | What it does | Human control |
|---|---|---|
Natural-language queries | Natural-language queries about order status and exceptions. | Limited to permitted business records and actions. |
Summarization | AI summaries of order history before customer communication. | Users review the generated summary before relying on it. |
Document extraction | Document extraction from incoming order forms or customer documents. | Review before important or irreversible actions. |
AI-assisted drafting | AI-assisted classification of order requests and routing. | Staff reviews the output before sending or committing it. |
AI workflow capability | Draft customer updates for staff review when orders are delayed or completed. | Use only where the workflow has a defined human-control boundary. |
How the Project Works
Stage | What happens | Client involvement |
|---|---|---|
Discovery | map order sources, approvals, fulfillment stages, documents and exceptions. | Explain the current process, users and constraints. |
Planning | define order records, statuses, roles and downstream system connections. | Confirm priorities, scope and required integrations. |
Development | build the order lifecycle and connected operational handoffs. | Review working increments and provide operational feedback. |
Testing and launch | validate new orders, changes, cancellations and exception scenarios. | Validate real scenarios and approve the production workflow. |
Support | improve order workflows as products, channels and fulfillment requirements change. | Provide feedback as requirements and processes change. |
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Trusted by 50+ businesses as their technical partner
Frequently asked questions
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What clients
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Warehouse owners, manufacturers, retailers, and startup teams on what it was like to work with us.
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Average rating across 50+ reviews
100+
Projects delivered
10+
Industries served
8+
Years in business
4.9/5
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